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R7.log
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MATLAB is selecting SOFTWARE OPENGL rendering.
OMP: Warning #181: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2022 The MathWorks, Inc.
R2022a (9.12.0.1884302) 64-bit (glnxa64)
February 16, 2022
To get started, type doc.
For product information, visit www.mathworks.com.
-------------------------------------------------------------------------------------------
## BIGMACS: Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals
-------------------------------------------------------------------------------------------
## Stack construction algorithm is now running...
# Initializing...
Data are loaded successfully.
Initializing the age samples...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Done.
# Stacking algorithm is now running...
# Iteration 1:
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [24.21588 14.26428 32.04367 39.98854 74.0249 46.00298 25.09833 7.582691 39.77854 22.5899 15.53974 16.11125 17.66222 124.4087 3.221034 16.10162 22.91281 21.03529 58.54391 99.15793 75.28994 36.64268 12.13493 25.42494 58.90535 123.3739 15.19887 11.01135 7.192296 41.02971 40.76517 11.88128 3.442729 4.00179 13.80633 13.67019 75.76638 56.32588 4.974573 90.23873 101.2849 41.92816 75.08105 46.85589 34.52307 34.99697 291.7499 73.86783 33.13046 5.898407 6.37049 11.99254].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.98132 -0.074839 -0.029651 0.59426 0.38976 0.07513 -0.93721 0.015911 0.18108 0.13777 -0.13508 0.040167 -0.39401 0.030007 -0.028062 0.012312 0.15772 0.58836 0.54791 0.099888 0.60612 0.96207 -0.14434 0.16467 0.94444 0.92248 0.016775 0.25465 -0.0016012 0.040056 0.073222 0.18459 0.052725 -0.23031 0.55861 0.18698 7.8562 1.1787 0.033835 2.0091 1.2666 0.28673 0.51433 0.91502 0.35851 0.25051 2.59 3.0118 1.6808 0.36332 0.0009133 -0.075374].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0099451 0.0074793 0.01394 0.053143 0.15512 0.00022047 -0.053009 -0.081335 0.060288 0.0012495 -0.14777 0.22877 0.032557 0.055671 0.047682 0.25223 0.66792 0.088843 -0.011354 -0.26257 0.083098 -0.15569 -0.033148 0.051966 0.022711 -0.032805 0.018901 0.0089748 -0.038056 0.033092 -0.047742 0.13695 -0.09576 0.063708 0.052646 -0.011241 1.0249 -0.0042635 -0.14257 0.0017023 0.25759 -0.045701 0.041435 0.15481 0.047866 0.089178 0.31916 0.27131 -0.011453 0.18893 0.16628 0.10181].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.044107 0.006199 -0.17985 0.16333 -0.033604 0.23465 -0.026795 -0.13773 0.042672 0.024022 0.00069256 -0.091282 0.044742 -0.13939 0.029706 -0.029902 0.18833 0.041564 0.012316 0.091996 -0.17081 0.093956 -0.0015029 0.0049874 0.025769 0.074087 -0.029096 0.004229 0.046853 -0.0034188 0.0072049 -0.081986 -0.0067152 0.0074983 0.043494 -0.020846 0.058631 -0.25684 0.069736 0.12943 -0.13457 0.029577 -0.029432 0.053443 -0.26191 -0.17099 -0.073818 0.1094 0.022215 0.042058 0.037681 -0.38612].
Records are aligned to the target stack.
Iteration 1/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 2/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 3/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 4/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 5/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 6/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 7/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 8/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 9/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 10/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
A new stack is updated.
# Iteration 2:
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [18.2797 18.5844 17.6742 28.4258 54.7498 16.4725 21.3869 4.51941 36.3643 11.671 26.9553 11.9299 15.1614 70.8224 2.57102 19.9124 3.73498 15.7779 32.9934 56.9112 40.7162 35.1869 34.0704 32.4911 50.2014 41.2605 31.5931 9.52734 1.14105 26.5479 4.89084 16.8706 1.20235 3.77042 6.84676 10.9627 22.4591 23.5968 3.36806 51.0693 71.1593 17.1854 34.0437 8.04939 20.7429 22.1079 3.24788 42.634 34.1021 50.4022 10.5413 8.48747].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.2169 -0.02699 0.040843 0.96405 1.2485 0.066643 0.27896 0.028048 0.20819 0.20253 0.75784 0.1312 -0.11673 0.11545 -0.14643 0.033478 -0.012352 -0.5158 0.76887 0.31622 0.16459 -0.14131 0.54698 0.23853 1.4592 0.79778 0.88758 0.073129 -0.0015222 -0.075677 0.027841 -0.3296 -0.010678 -0.022278 0.046165 0.042043 0.060056 -0.10855 0.012407 1.5207 1.9034 0.048593 0.35188 -0.045466 0.34141 1.0735 -0.0058305 0.26098 0.47163 1.7864 0.11944 0.36714].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.05675 0.03707 -0.054088 0.016425 0.49908 -0.1592 -0.034588 0.16638 0.11845 -0.051249 0.23116 -0.13298 0.010621 0.48619 -0.19832 0.82656 0.14389 -0.019364 0.11217 -0.091279 -0.42885 -0.64063 0.2064 0.04641 0.014594 -0.53097 0.31826 -0.1411 0.09866 0.062008 0.085196 -0.64934 0.0010004 0.34411 0.032188 0.25995 0.11066 -0.027597 -0.029953 0.026595 0.09964 -0.14457 -0.52522 -0.19003 -0.064603 -0.018898 -0.039167 -0.033687 0.14696 0.32135 -0.1468 -0.045195].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.096045 -0.15355 -0.46721 0.15279 -1.1324 -0.018733 0.031572 0.0021678 -0.24026 0.099853 0.095556 0.09449 0.18695 -0.62421 -0.17715 -0.026939 0.64955 -0.086984 -0.026451 -0.35704 -0.8542 0.40376 0.027565 -0.02862 0.0091428 0.096711 -0.13491 0.2531 -0.0042563 -0.039222 -0.078177 0.15844 -0.0057423 0.11667 0.056392 -0.10177 -0.010362 -0.22035 0.02101 0.19786 -0.028592 -0.11352 -0.22359 0.015674 -0.013674 0.0014199 -0.049886 0.051794 -0.10558 0.29902 -0.1939 -0.038226].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.046385 -0.10612 -0.33063 0.00031737 -0.11513 -0.013879 0.029361 0.010005 -0.16156 0.0093723 -0.073376 -0.2568 0.047865 -0.48494 0.16072 -0.5051 -0.077654 0.026151 0.053314 0.386 0.041479 -0.21375 0.0080312 0.069496 -0.0096608 -0.076502 -0.036156 -0.022543 -0.0037151 -0.10047 0.16783 -0.069946 -0.0047506 -0.17211 -0.051332 -0.049567 -0.2423 0.076488 0.010111 -0.094451 0.0072632 0.087789 0.28519 -0.077712 -0.10695 -0.0071564 0.039033 0.20207 0.0068928 0.14893 0.32102 0.041758].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.22633 0.15231 0.29373 -0.10605 -0.14954 -0.02904 0.068144 -0.0020991 0.53675 0.026202 -1.0782e-06 0.32888 -0.059942 0.41247 -0.027828 0.32663 0.14793 -0.012487 0.084983 0.005727 -0.023176 0.19709 -0.252 -0.12071 0.019052 -0.11222 -0.29837 -0.069487 0.0042585 0.13936 -0.087306 0.058033 -0.0030163 0.18467 0.0016537 0.1296 0.14016 0.074969 0.1826 0.24741 -0.044248 -0.17679 0.015586 0.047499 0.078134 -0.021282 -0.012869 -0.078067 0.052789 0.074267 -0.40388 -0.059436].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.00078772 0.13793 -0.318 -0.053032 0.087628 0.014616 -0.039921 0.0045239 -0.11931 -5.848e-05 0.11224 -0.059924 -0.27771 -0.025972 0.073767 -0.3761 -0.060535 -0.0097656 -0.82136 -0.16139 0.024286 -0.30534 0.15149 0.30261 -0.12621 0.17695 0.30173 0.0098241 0.00065308 -0.033233 0.061833 0.015302 0.018959 -0.01472 0.026649 -0.84908 0.048213 0.069315 -0.46291 -0.33153 -0.008273 0.17065 -0.17204 0.021279 0.027026 0.013182 0.035631 0.039175 -0.024301 -0.18973 0.35427 0.059635].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.070191 0.010169 0.6924 0.14437 0.17016 -0.2246 0.32348 -0.008089 0.074848 -0.0088065 0.0023012 -0.030015 0.062757 0.053153 -0.012872 0.36792 -0.047786 -0.37086 -0.17658 0.15486 -0.10112 0.27625 0.1199 -0.061422 0.12576 0.0091874 0.043179 0.056891 0.0012505 0.025093 -0.10632 -0.047804 -0.019345 -0.11058 0.026664 -0.21465 -0.071926 -0.017219 0.5899 0.29071 0.077207 -0.11362 0.051749 -0.20565 -0.0089811 -0.023023 -0.094359 -0.08278 0.015603 0.22924 0.1417 0.004959].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.057692 -0.30942 0.0029026 -0.078148 -0.052499 0.2231 -0.3187 0.0072451 0.0043209 0.010538 -0.10966 -0.13249 0.22206 -0.12146 0.010009 -0.11588 0.14883 0.36457 -0.36762 0.0047134 0.069128 -0.14296 -0.091745 -0.68446 -0.17197 -0.04803 -0.21277 0.035825 -0.014777 0.011194 -0.045515 -0.08684 -0.011608 -0.076996 -0.016897 0.12542 -0.019677 -0.042905 -0.079348 -0.11086 -0.36467 0.093104 0.1222 0.11707 0.0024824 0.039379 -0.051167 0.029388 0.0091578 -0.10845 -0.49695 -0.10133].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0090836 -0.19588 0.0079518 0.077798 -0.75729 -0.06918 0.012474 -0.0021957 0.066335 -0.0095954 0.083698 -0.14025 -0.036032 0.16799 0.0034594 0.0035821 0.0097726 0.061955 0.5412 -0.03195 -0.42197 0.16554 -0.13643 -0.249 0.15715 -0.029352 -0.37051 -0.094008 0.011938 -0.062692 0.16596 0.11599 -0.0033959 0.048425 -0.082742 -0.46945 -0.40609 0.053809 0.084619 -0.11245 0.29119 0.0040926 -0.68307 0.067799 -0.094366 -0.028524 0.1501 -0.24432 -0.10437 0.085957 0.22028 0.035371].
Records are aligned to the target stack.
Iteration 1/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 2/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 3/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 4/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 5/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 6/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 7/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 8/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 9/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 10/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
A new stack is updated.
# Iteration 3:
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.001776 -0.013604 -0.064719 -0.050186 0.2049 0.040123 0.25806 0.19797 0.03872 0.037682 0.2687 0.018955 -0.24235 0.13417 -0.031887 0.091214 0.032684 -0.0073466 -0.074541 0.17184 -0.0010235 0.017839 0.44388 0.081406 0.40262 -0.1511 0.44025 0.13194 -0.018831 0.11223 -0.19749 -0.0035071 0.11528 -0.037916 -0.14616 -0.015644 -0.15075 0.090229 0.0030096 0.21916 0.83275 -0.11055 -0.11426 0.29654 0.34803 0.024873 -0.042391 0.58678 0.034159 0.47284 -0.64193 -0.042378].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.024958 -0.071885 0.013157 0.003504 -0.23365 -0.068379 0.070159 0.0028317 -0.24973 0.06575 0.0023987 0.00838 0.04565 -0.043282 0.090097 -0.0092067 -0.031972 -0.039363 0.043099 0.20612 0.09552 -0.038473 -0.064865 0.21954 0.0094502 0.074955 0.08381 -0.052815 -0.00015404 0.0088687 0.36655 -0.30413 -0.026029 0.0091136 -0.11224 -0.0060186 0.10087 -0.013223 -0.21527 0.14617 0.033146 0.37089 -0.083553 0.076306 -0.034869 -0.13659 -0.17716 -0.016782 0.26718 0.44984 0.033221 -0.0093134].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.027168 0.048298 -0.049922 -0.12585 -0.41964 -0.090607 -0.35946 -0.03955 0.051142 -0.0050704 -0.017994 0.2139 -0.033324 0.0046318 -0.0035199 0.17375 -0.01548 0.0074104 -0.021853 0.46801 -0.035487 -0.13656 0.18377 -0.085736 0.046318 -0.66904 -0.15293 -0.028652 -0.091414 0.044714 -0.17837 -0.12141 0.071044 0.063103 0.37701 -0.069486 0.97733 -0.17533 0.053475 0.02573 0.027016 -0.00058204 0.037904 0.10771 0.0575 0.17603 -0.0080859 0.21187 -0.38299 0.13133 -0.10821 -0.22807].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.017141 -0.0014304 -0.06384 0.020387 0.094723 -0.074922 0.090286 -0.072087 -0.11267 0.36103 -0.24377 -0.083922 0.21143 -0.033426 0.24033 -0.033314 0.17374 -0.017542 -0.030976 0.79968 0.20421 -0.13901 0.037894 -0.0084306 -0.19262 -0.015563 0.56252 0.1907 0.0080571 -0.026884 -0.032704 -0.14711 -0.13219 0.00073518 0.022292 -0.00047907 0.1759 -0.018623 0.00825 -0.078335 0.30386 -0.016373 -0.066839 0.054374 0.041361 -0.15099 -0.14842 -0.4949 -0.011976 0.1166 0.001448 0.098801].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.28435 0.0099342 0.27441 0.040412 0.021343 0.031823 0.022513 -0.015988 0.070381 -0.25634 1.1077 0.00044384 0.0037377 0.019217 -0.18914 0.09776 0.11579 0.019344 -0.058483 -0.13255 -0.16755 0.10231 -0.31312 -0.081581 0.2069 -0.14552 -0.0019562 0.0087871 -0.01547 0.017534 -0.10104 0.16003 -0.019451 0.077355 -0.013455 0.10271 0.041698 0.0013488 0.0096577 0.19366 -1.2622 -0.097025 -0.038625 -0.30139 -0.088092 0.17346 0.1676 -0.54365 0.15067 -0.038684 -0.0085091 -0.11049].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.3337 -0.00071277 -0.1055 -0.058503 0.11402 -0.017762 -0.087601 0.00029865 -0.040467 -0.091685 0.52895 0.013929 -0.36169 -0.010769 0.30858 -0.56665 -0.15705 -0.056466 0.11332 0.27145 -0.055925 -0.035012 0.38514 -0.00045189 -0.16481 0.19842 -0.0060344 0.002221 0.014219 -0.0053186 0.045248 -0.20577 0.19205 -0.15019 -0.10574 0.040387 -0.19894 -0.095823 -0.021635 -0.29432 0.48425 0.061786 0.12663 0.134 -0.22378 -0.13736 -0.03641 0.060578 -0.030195 -0.010477 0.0030747 0.11515].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.036855 -0.0015011 0.11339 0.057474 0.13924 -0.039395 0.14962 0.066974 0.059622 0.34824 0.08471 -0.062114 0.3939 -0.066605 -0.15431 0.15913 -0.039462 0.050797 -0.061901 -0.26355 -0.39402 0.065572 -0.032817 0.10325 0.15183 -0.04726 -0.0093382 -0.051404 -0.027812 0.066646 0.1131 -0.042912 -0.095508 -0.0088588 0.10315 -0.079013 0.18084 0.039169 -0.059958 -0.15101 0.016709 -0.055038 -0.0085756 0.071706 0.19832 -0.087137 0.008567 0.011446 0.028271 -0.024204 -0.080394 -0.0050054].
Records are aligned to the target stack.
Iteration 1/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 2/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 3/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 4/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 5/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 6/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 7/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 8/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 9/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 10/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
A new stack is updated.
# Iteration 4:
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.010554 0.24065 -0.38642 0.012728 0.0020637 0.27251 -0.08063 0.23045 -0.22791 -0.073336 -0.12969 0.021378 -0.070575 -0.072683 -0.0051647 0.066888 -0.19113 0.10807 -0.052723 0.0059515 -0.11776 -0.0062043 -0.0098672 -0.17215 -0.19274 0.0052483 0.054079 0.03137 -0.12891 -0.14921 0.083022 -0.26469 -0.043623 0.13879 0.12533 -0.16144 0.14443 -0.027989 0.0036313 0.83651 0.067677 0.33601 -0.057859 0.14615 -0.56893 0.21298 -0.10856 -0.10996 -0.12501 0.020064 -0.17327 0.11363].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.030866 0.27889 -0.14289 -0.70707 -0.0027926 -0.13515 0.0031759 0.21414 0.19689 -0.00037017 -0.34946 -0.087399 0.11454 -0.016568 0.085713 -0.1765 -0.13474 0.19464 -0.098041 -0.17159 -0.21369 0.00056231 0.0097473 -0.58797 -0.081051 -0.02117 0.069038 0.11356 0.0072808 -0.074562 -0.02463 0.14657 -0.01208 -0.11894 -0.11265 0.40573 0.07453 0.61074 -0.097211 -0.023391 0.16808 0.0024598 0.39818 0.033898 -0.0077881 0.034661 -0.094568 0.047837 0.21092 -0.23649 0.14958 -0.048811].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.036124 -0.36538 0.038573 0.11688 -0.85099 0.056284 0.032005 0.010541 -0.9804 0.17341 -0.032834 -0.13369 0.0064759 0.20649 0.023927 -0.089759 0.31028 0.053503 0.019598 0.17929 0.033275 -0.035265 -0.067509 -0.27652 0.05304 -0.32409 0.022312 0.042659 -0.014037 0.0049451 -0.097367 0.2518 0.011422 0.036011 -0.10361 0.013809 0.08601 0.048425 0.013442 0.0088992 -1.2667 -0.28895 0.15418 -0.17129 0.13436 0.066283 0.10164 -0.012392 -0.025003 -0.97724 0.046379 -0.051679].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0046463 0.089276 0.044594 0.0082144 0.53521 -0.33688 -0.053541 0.064123 -0.010099 0.081616 -0.1431 -0.050208 -0.0073153 -0.62372 -0.0094909 0.031007 0.09234 0.09175 -0.032273 0.068206 0.00095335 -0.059961 -0.019288 0.048992 -0.08126 0.017941 0.04663 0.056072 -0.0032077 0.023599 0.18288 -0.013103 0.00086796 -0.049994 0.015825 0.0019948 0.069193 -0.043425 -0.10421 -0.10457 -0.049338 0.082136 0.40709 -0.0028472 0.035489 0.86665 -0.041196 -0.05553 0.0073056 0.18511 -0.023898 -0.16273].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.067893 -0.0034743 0.044404 -0.039019 0.034961 0.0071553 0.037408 -0.22815 -0.21103 -0.044019 -0.4159 -0.073185 0.2788 -0.43957 -0.0023729 -0.083954 0.0022404 -0.095467 -0.16236 -0.53226 -0.071331 0.044274 0.010878 0.0010211 -0.1088 -1.38 -0.022836 0.026588 -0.035428 0.047072 0.00030836 -0.014816 0.011064 0.17703 -0.09184 0.034153 0.088065 -0.047163 0.16362 0.11318 0.06498 0.0070979 0.0040533 -0.022292 -0.03294 -0.052642 -0.1335 0.128 -0.06522 -0.01828 -0.0037515 0.11298].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0012703 -0.32281 0.0028675 -0.080932 -0.77979 -0.13467 -0.025383 0.27718 0.22708 0.23681 0.43736 0.23046 -0.50506 0.052452 0.0073461 0.066477 -0.022837 0.19735 0.25031 -0.052546 -0.33624 0.029024 -0.19349 -0.20533 -0.14176 0.082422 0.013456 -0.0059847 0.024341 -0.19991 -0.028241 0.013145 -0.010852 0.17214 0.021138 0.0025727 -0.29781 0.064285 -0.14967 -0.012954 -0.21403 0.04077 -0.11678 0.0099402 0.012622 0.13039 0.16525 -0.60568 0.10358 -0.0299 0.0019591 -0.022158].
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.10173 0.063443 -0.1009 -0.079601 -0.038669 0.3809 -0.29612 -0.17779 -0.14671 -0.29947 -0.22416 -0.24602 -0.039943 -0.38934 -0.036439 0.012713 0.032979 -0.2703 -0.084952 0.071998 0.34181 -0.024656 0.14336 0.20193 0.30036 0.010763 -0.015239 -0.073165 0.0032483 0.084945 0.022328 -0.025461 -0.0026197 -0.39993 0.10131 -0.037932 0.084775 0.022509 0.080698 0.031049 0.30234 -0.16922 0.07086 0.019776 0.019199 -0.020683 -0.15207 -0.35271 -0.19782 -0.060967 -0.064396 0.017175].
Records are aligned to the target stack.
Iteration 1/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Iteration 2/10...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
Starting parallel pool (parpool) using the 'ncar_mps_Import_1' profile ...
MATLAB is selecting SOFTWARE OPENGL rendering.
OMP: Warning #181: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2022 The MathWorks, Inc.
R2022a (9.12.0.1884302) 64-bit (glnxa64)
February 16, 2022
To get started, type doc.
For product information, visit www.mathworks.com.
{Error: File: /glade/u/home/yuxinz/BIGMACS_MacOS/main.m Line: 1 Column: 19
Character vector is not terminated properly.
Error in run (line 91)
evalin('caller', strcat(script, ';'));
}
Time elapsed = 28 s
MATLAB is selecting SOFTWARE OPENGL rendering.
OMP: Warning #181: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2022 The MathWorks, Inc.
R2022a (9.12.0.1884302) 64-bit (glnxa64)
February 16, 2022
To get started, type doc.
For product information, visit www.mathworks.com.
Starting parallel pool (parpool) using the 'local' profile ...
Connected to the parallel pool (number of workers: 36).
Number of workers: 36
-------------------------------------------------------------------------------------------
## BIGMACS: Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals
-------------------------------------------------------------------------------------------
## Stack construction algorithm is now running...
# Initializing...
Data are loaded successfully.
Initializing the age samples...
Done.
# Stacking algorithm is now running...
# Iteration 1:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [21.84361 17.90513 29.93279 42.92795 75.35027 44.24962 25.78023 7.73657 42.60093 20.70565 16.23055 15.0102 23.75853 124.7238 2.037258 13.38898 22.03282 23.52605 58.30099 106.7853 77.12683 32.53482 11.56804 27.21731 58.77725 137.2009 15.90706 13.38197 7.313015 37.26657 39.14298 12.66556 3.428149 4.423324 12.54464 16.0287 76.6991 61.46743 4.228872 102.3716 109.8992 45.52192 79.03259 50.73351 38.04949 34.21647 290.1003 75.12336 33.82942 5.446866 6.462985 9.858205].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.40763 0.64375 0.11405 -0.34551 0.56577 0.38528 0.91111 -0.087606 0.019788 0.16615 0.2171 0.65631 -0.00089967 1.1739 -0.2018 0.20357 0.010582 0.057845 0.57719 0.30708 0.021424 -0.83066 -0.21229 0.31904 0.75594 1.8469 0.25886 -0.025039 -0.053763 0.41573 1.1193 0.036731 0.016893 0.28382 0.61414 0.20455 9.3273 1.1313 0.32606 0.86103 1.4769 0.048812 0.79506 0.4779 0.24215 0.1097 4.1997 1.8866 1.5353 0.7054 0.1447 0.27405].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0035447 0.06325 -0.46477 0.082575 -0.33635 -0.0013616 -0.1788 0.018899 -0.12581 0.0072068 0.36988 0.26415 -0.46644 0.23405 0.035458 -0.021748 -0.11213 0.05279 0.018501 -0.15579 0.018425 -0.20564 0.31743 -0.014915 0.57633 0.28792 -0.37925 0.12671 -0.039101 -0.10047 0.11973 -0.036848 -0.022266 0.005899 -0.12346 0.00087437 1.317 -0.74063 0.015157 -0.089601 -0.037967 -0.073545 0.013274 0.17724 0.098982 -0.00016974 0.0066666 0.092478 -0.20587 0.29044 -0.0072524 -0.34995].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0051052 -0.0098171 0.096658 -0.39405 0.0022716 -0.17616 0.017717 0.038458 -0.042109 -0.0008928 0.1282 0.044954 0.038937 0.13473 0.039976 -0.0035521 -0.24401 -0.040119 -0.36061 -0.0075829 0.15084 -0.3728 -0.11096 -0.0076095 -0.17599 0.13618 0.62508 -0.0081211 0.075598 -0.056947 -0.042685 -0.043824 0.0034982 -0.08483 0.22494 0.043013 0.44165 0.10048 -0.028507 -0.071139 -0.052714 0.044719 0.0056938 -0.13495 -0.028188 0.28229 -0.19305 0.046128 1.1272 0.042871 0.00041999 0.31988].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.091697 0.0082754 -0.049247 0.39399 0.11736 0.14889 0.045042 -0.080838 0.028815 -0.047041 -0.30858 -0.045456 -0.00039408 0.031772 0.025146 0.00041816 0.23925 0.062751 0.124 0.010767 0.00079582 0.12348 0.074753 -0.075346 0.024458 -0.074828 0.37101 -0.00095182 -0.019315 0.089505 0.027449 0.017519 -0.027343 0.091106 -0.014945 -0.18135 -0.32661 -0.14244 -0.00015135 0.1992 0.047558 0.0022422 -0.096119 0.1032 -0.0057676 -0.23634 0.20577 -0.045794 -0.021038 -0.17806 -0.015849 -0.023626].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [17.1325 20.1336 24.5907 35.1724 54.9585 16.6248 17.3544 5.969 37.2958 14.23 24.313 8.97054 13.3597 70.5316 2.0653 23.1109 5.3372 16.4823 33.2433 62.1015 43.1088 36.056 29.8881 27.5382 51.9616 47.7368 29.5516 11.307 1.03999 24.775 7.23488 15.7145 1.19136 2.04944 5.96982 12.8349 24.618 23.5291 3.88648 56.5869 76.9039 14.313 34.7302 8.80593 24.1927 22.7885 4.11026 42.6785 36.4709 52.6435 10.7067 10.6512].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.34186 0.40387 0.28424 1.1297 0.44333 0.35521 0.073849 -0.11831 0.18763 0.095961 0.54965 0.083953 0.47514 1.6366 -0.023347 1.0139 -0.15115 -0.13496 0.43401 0.71093 0.047142 -0.66201 0.28195 0.23723 1.3627 1.1669 1.8219 0.25128 0.0037323 -0.65075 0.013756 0.94543 -0.023445 0.48164 0.39187 0.2597 -0.10283 0.14956 0.031468 -0.16111 0.13907 0.19026 -0.094376 -0.11901 0.92573 -0.081757 -0.10014 1.4711 0.47469 0.70619 0.29203 -0.023797].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.014091 -0.059364 -0.047389 0.0056341 -0.0021938 -0.040187 -0.22964 -0.036988 0.066368 0.15536 0.23151 0.054838 -0.019551 0.10561 -0.032834 -0.093224 -0.002814 0.020296 0.0022455 0.20444 0.4833 0.00492 -0.12306 0.3048 0.075274 0.17219 -0.60873 0.061747 -0.0098672 0.15802 0.0087181 0.019194 -0.0023882 0.051216 -0.025485 0.047818 0.26802 0.049166 0.0039562 0.40662 0.36325 0.0019524 -0.53893 0.62112 -0.083985 -0.021926 0.068972 0.13372 -0.08323 0.20526 -0.20722 -0.22911].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.013289 0.019524 0.14098 -0.29763 0.49014 0.0097032 0.0031836 0.0060894 -0.083396 -0.015615 0.036314 0.0047769 -0.07439 0.18028 -0.099177 -0.23516 0.051874 0.037648 0.34289 0.00072772 -0.23796 0.19477 0.043318 -0.044877 -0.0021634 -0.016893 -0.20398 -0.067411 0.00048056 -0.83977 0.036222 0.024126 0.066107 -0.35079 -0.10347 0.013709 -0.64442 0.222 0.015805 0.16144 -0.1671 -0.0053479 -0.52082 0.42455 0.1519 -0.034436 -0.16141 -0.0067243 0.0013793 0.37314 0.087478 -0.017628].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.01766 -0.09372 -0.082557 0.21659 -0.55305 -0.0035893 -0.059285 -0.0099578 -0.0016552 0.031838 0.018676 -0.002127 0.018467 -0.54515 -0.093199 -0.21396 -0.073967 -0.0056857 -0.26818 0.024574 0.27386 -0.11435 -0.19906 0.084475 -0.28835 0.19787 0.25101 -0.14048 -0.036702 -0.018135 -0.04313 -0.062622 -0.054948 -0.33765 0.13469 -0.046686 0.051948 0.15423 -0.016997 -0.12896 0.19717 0.013554 -0.24193 -0.32483 -0.42383 0.13329 -0.04518 0.073911 -0.0052557 -0.066622 0.06796 -0.055106].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.053219 0.10123 -0.26891 -0.014291 -0.0015374 -0.14561 0.060319 -0.0099321 0.097118 -0.052846 -0.0040691 -0.050053 0.060884 0.27137 -0.045152 0.42642 0.0012581 0.0045309 0.1504 -0.17583 -0.29944 0.12136 -0.21789 -0.0041887 -0.33603 -0.35566 -0.30494 0.25534 0.026207 -0.039341 0.052091 0.041473 -0.0067757 0.71272 -0.19066 -0.0020445 0.18078 -0.10992 0.10058 -0.14843 -0.062304 0.0014009 0.46635 0.31098 -0.19144 -0.00083172 0.089846 -0.077159 0.0087927 0.32581 0.086083 0.058598].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.035899 -0.0052345 0.19628 -0.14692 -0.36493 0.046307 0.00079594 -0.036023 0.0022514 -0.030671 -0.017069 0.052375 -0.010332 -0.19181 0.15817 -0.24779 0.081637 -0.024732 -0.26252 -0.23937 0.40628 -0.046025 0.3052 -0.024853 0.61857 0.35322 -0.51583 -0.15606 0.0075798 -0.10277 -0.030391 -0.0086409 -0.0037074 0.028466 0.14576 0.04915 -0.24545 0.1695 -0.010064 -0.097251 0.079956 -0.0085719 -0.011695 -0.083143 0.51078 -0.043818 0.12884 -0.070494 -0.017334 -0.30913 -0.3625 -0.038876].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.069937 0.0029497 0.1405 -0.11679 -0.14231 0.0080007 -0.04176 0.053516 -0.017714 0.12759 -0.013496 0.00054816 0.0063396 0.21049 -0.026133 -0.30768 -0.27595 -0.010406 0.12772 0.23757 -0.013469 0.10662 -0.86314 0.019112 0.19044 0.010742 -0.14121 -0.096256 0.00037835 0.033 0.026117 0.019086 0.020635 -0.015446 -0.21736 -0.067729 -0.00016455 -0.32017 -0.047352 0.49342 -0.0041091 -0.19007 -0.52701 -0.0030967 0.019997 -0.08496 -0.097918 -0.052561 -0.048082 0.34111 -0.046234 -0.025631].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.087449 -0.021572 0.015836 0.30638 0.32105 0.0039046 0.0048302 -0.015254 -0.0095904 -0.17443 -0.022585 -0.013533 -0.080224 -1.0319 -0.038943 -0.22043 0.21074 0.034918 0.24205 0.0052982 -0.58092 -0.0099674 -0.16235 -0.0057588 -0.0011328 -0.039503 -0.13999 0.22784 0.0042322 0.080002 -0.06124 0.0065818 0.029752 -0.025852 -0.025711 0.0024535 0.1581 -0.070564 -0.0062258 0.04881 -0.075616 0.19617 0.084368 -0.024122 -0.14276 -0.010846 0.013982 0.18519 0.059719 -0.73114 -0.065861 0.033731].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.018771 -0.085639 -0.0094359 -0.027031 -0.16728 0.078962 -0.033438 -0.0052747 -0.047973 0.07318 0.053345 -0.018431 -0.050501 0.22017 0.085978 0.42439 -0.021315 0.003489 0.010052 0.10754 0.23539 -0.2836 0.17689 -0.0080941 0.046771 0.086575 0.14786 -0.054472 -0.011205 -0.13432 0.0181 -0.13756 7.1108e-05 0.026344 -0.029089 -0.091627 -0.36829 0.069522 -0.0013952 -0.46219 0.068335 -0.011813 -0.023708 -0.21134 0.18968 0.13858 0.076631 -0.20245 -0.0089713 -0.043075 0.2061 -0.13642].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.075279 0.34605 0.082841 0.041203 0.23839 -0.20436 0.073163 0.17579 0.25352 -0.018839 0.29181 -0.046734 0.1693 -0.24271 0.080014 -0.015667 -0.18388 -0.0086782 -0.13955 -0.19194 0.99985 -0.1544 0.038661 -0.044326 0.19284 0.21404 0.28521 -0.13555 -0.035589 0.28642 0.085626 0.27816 -0.040122 -0.32981 0.22763 -0.13563 -0.48858 -0.19474 -0.22802 -0.21191 -0.072841 -0.0079683 -0.074114 -1.1447 -0.27728 0.0021208 -0.01125 0.27858 0.39196 1.1011 0.029219 -0.0059486].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.059807 -0.05102 0.036551 0.015071 -0.05219 -0.062579 -0.020065 -0.003546 -0.56066 0.039836 -0.17549 0.034318 0.030289 0.026877 -0.020641 -0.013451 0.0015957 -0.040279 -0.097059 0.2065 0.056548 0.094302 -0.024084 -0.44658 0.0035202 -0.50638 0.032977 0.062996 0.068937 -0.23046 -0.11501 0.020322 0.013583 0.23438 0.17254 -0.091201 0.31196 0.16985 -0.034144 0.59391 0.20124 -0.1582 1.1024 0.20906 -0.065932 -0.014857 0.018758 0.16052 -0.029291 0.054936 0.0085966 -0.1444].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.22092 -0.056435 -0.71217 0.088027 -0.069854 0.0043253 -0.090417 -0.15486 0.11301 -0.15788 -0.047263 -0.019657 0.13213 -0.6771 -0.11894 0.046038 0.096944 -0.15258 -0.071141 0.034734 0.0015199 -0.11318 0.23107 0.012455 -0.22662 -0.018193 0.013503 -0.079042 -0.020038 -0.15661 0.085985 0.054909 0.0033683 0.073178 0.041666 0.051907 0.22821 -0.089096 -0.067284 0.19833 -0.084866 0.21332 -0.074616 -0.015131 0.051238 -0.50512 -0.071289 0.031551 0.13077 0.16608 0.01057 0.11054].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.068985 0.54239 -0.031837 0.16041 -0.36357 0.012972 0.0057922 0.0012176 -0.01466 -0.066984 0.44555 -0.029137 0.17695 0.67786 0.15364 0.0012633 -0.08613 -0.01974 -0.026386 -0.0098377 -0.0020527 -0.18703 0.00083304 -0.04991 -0.00088814 0.0086319 -0.039557 0.051969 0.016104 0.05712 -0.14679 -0.10176 -0.10045 -0.033171 0.12538 -0.025072 -0.076971 -0.0039829 -0.0083367 -0.050858 -0.051165 -0.020651 -0.30509 -0.27956 -0.060002 0.011321 0.015056 0.031113 0.12191 0.18533 -0.036015 -0.010575].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.27454 0.062582 0.28585 -0.12736 0.21784 -0.48499 -0.039594 -0.077312 0.068271 0.014076 -0.60437 -0.038339 0.063867 0.015414 0.037091 0.0024445 0.021936 -0.0023939 -0.13087 -0.001443 0.13412 0.1968 -0.12145 -0.42515 -0.02783 -0.015855 -0.011983 -0.0010782 0.0025823 0.036435 0.1571 -0.10486 -0.0072386 0.028739 -0.098136 0.025126 0.019476 -0.16926 0.0073699 0.04352 0.015295 -0.99498 0.26155 0.13848 -0.38894 -0.040928 0.006388 -0.034015 0.063511 0.044178 0.078619 -0.0045899].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.34538 -1.2795 -0.011315 -0.47989 -0.018155 0.47737 0.043844 0.11003 -0.58266 0.015281 -0.018298 0.057384 -0.011746 0.038692 -0.39165 -0.097362 0.0625 -0.029033 0.16806 -0.012004 0.1712 -0.035501 0.056559 0.3745 -0.018158 -0.0093524 0.037391 -0.0040994 0.052902 0.00106 -0.05349 0.13224 0.18193 -0.0084889 0.17702 0.00018141 -0.13284 0.16887 -0.039715 0.0043936 -0.17532 0.11516 -0.10987 -0.014337 0.37316 0.0083226 -0.026363 0.020665 -0.23545 -0.036452 -0.14953 -0.080699].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.12804 -0.0046778 0.036831 0.55181 0.035043 -0.44494 -0.0009798 -0.25692 -0.30177 -0.0082168 0.019989 -0.0045781 0.018611 -0.075092 0.54332 0.091785 -0.0021432 -0.026565 -0.06501 -0.0016598 -0.0044984 0.036427 0.018731 0.10708 -0.081545 -0.084649 0.018764 -0.038986 -0.04283 0.030362 0.055416 -0.047901 -0.29743 0.0030779 -0.14493 -0.011523 0.19634 0.0089219 0.019443 -0.039787 0.17953 -0.18597 -0.086884 0.021853 -0.1572 0.067614 0.023477 -0.00052829 0.22352 -0.14835 0.090001 -0.50513].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.13986 -0.03622 0.0024296 0.022259 0.031184 0.45228 -0.047744 0.25063 0.25386 -0.052222 0.030548 0.037998 -0.20351 0.036434 0.012065 -0.0067337 -0.022058 0.053392 0.06453 -0.052443 0.068299 -0.033413 0.050895 -0.055397 0.10103 -0.057213 -0.061705 0.0089453 0.010709 -0.073384 -0.0028737 0.044673 0.18574 0.0074929 0.14536 -0.048903 0.017383 -0.079213 -0.046877 -0.07903 -0.033845 0.14548 0.030588 0.15669 0.2091 -0.00015385 -0.020918 -0.060451 -0.047297 0.11037 0.050822 0.41993].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12098 0.0076581 0.013665 0.0057966 0.074155 -0.19322 -0.022271 0.0062612 -0.28381 -0.060053 0.049697 -0.0014349 -0.13697 0.30417 -0.0019921 0.12842 0.022815 0.056344 0.18404 0.20298 0.94349 -0.17652 -0.15598 -0.21548 -0.45666 -0.47819 -0.076302 0.26492 -0.017179 0.28403 -0.080751 -0.0030767 0.022679 0.011999 0.42259 0.046243 0.020839 -0.0095654 0.15351 0.025024 -0.59463 0.075921 0.24848 -0.1923 -0.041916 -0.05133 -0.025211 0.11936 -0.12307 -0.050418 0.092044 0.16619].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.21859 0.020644 -0.23487 0.052852 0.14504 0.48544 0.10622 0.016149 -0.047399 0.029435 -0.033681 -0.2908 -0.0045586 0.0069259 0.061406 -0.044646 0.28373 -0.0357 -0.025306 0.10927 0.18238 0.0094046 0.066935 -0.23485 -0.16969 -0.41821 -1.0243 0.10431 -0.075822 0.71737 -0.43238 -0.066098 -0.042671 -0.1104 0.026035 -0.15558 -0.0079986 -0.025039 0.007616 -0.060156 0.044824 0.014025 0.19371 -0.0025619 -0.056779 -0.25007 0.5467 -0.14554 0.078627 0.25082 0.39671 -0.40963].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.040244 -0.012721 0.11738 0.022112 0.10451 0.02125 0.018026 -0.00093247 0.098595 -0.7307 0.041126 -0.010261 0.1381 -0.017264 0.017731 -0.11757 -0.19627 -0.17503 0.17809 -0.39263 -0.011732 -0.075067 -0.014834 0.86141 -0.19679 -1.4507 0.19188 0.31013 0.11871 -0.0073591 0.24738 -0.41889 0.13647 0.00801 -0.063969 -0.066218 0.24543 0.067684 0.10854 0.0061428 -0.010097 0.056605 -0.087124 0.080523 0.041858 -0.028711 -0.031238 -0.0027455 -0.040927 0.11424 0.022728 -0.22079].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.038531 -0.011089 0.09268 0.0065597 0.36616 0.055657 0.12439 -0.073045 0.081669 0.15138 -0.13163 -0.089217 0.02584 -0.014251 -0.20747 0.058997 -0.056314 0.11648 -0.049843 -0.6595 0.013071 -0.39007 -0.045213 -0.14717 0.023803 0.15182 0.19777 0.19151 -0.13194 -0.049794 -0.046691 0.1295 0.07219 -0.29316 -0.12987 0.0081136 -0.30903 -0.012864 0.0021189 0.20866 0.34624 0.28343 0.06906 -0.0026767 0.016334 -0.14066 -0.017514 0.13428 0.52583 0.098671 0.3 -0.37584].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.12963 -0.048105 0.0027581 -0.23596 0.082117 -0.16111 -0.030623 0.16283 -0.06468 -0.4137 0.12713 0.12521 -0.31388 0.27931 0.12436 -0.20135 0.062486 -0.037555 0.036238 0.048688 -0.056574 0.36164 0.041681 0.0678 0.14877 1.2122 -0.15484 -0.12509 0.13491 0.083737 0.05948 -0.24993 -0.015253 0.23584 -0.10135 0.00042447 0.44532 0.016676 0.0017509 -0.0014295 -0.17921 -0.17964 -0.031197 -0.022647 -0.029536 0.27537 0.60774 -0.30639 0.14047 -0.19682 -0.013222 0.26899].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.10809 0.036349 -0.13279 0.21084 -0.047333 -0.18797 0.10211 0.023233 0.046601 -0.013819 0.029427 -0.018435 0.23173 -0.081523 0.23784 0.1353 -0.012107 0.034673 0.010429 -0.0056336 -0.70573 0.030165 -0.012914 0.036425 -0.07344 0.029826 -0.50957 0.18304 -0.074299 0.0056858 -0.0024502 0.028562 -0.12277 -0.047553 0.13666 -0.19282 -0.10379 0.011784 -0.023229 0.0088999 0.25106 -0.089126 0.15783 -0.029187 0.064212 -0.47779 0.42729 0.23391 -0.096217 -0.20851 -0.62909 -0.019734].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.020684 0.0077385 -0.083653 -0.01105 -0.13111 -0.36224 -0.00050183 -0.24168 -0.064079 0.12256 0.049313 0.058216 0.10457 -0.14809 -0.4608 -0.11884 0.0053573 -0.33571 -0.2656 -0.12452 0.47305 -0.037612 -1.3226e-05 -0.14315 0.044023 0.018618 0.057344 -0.079259 0.013074 -0.13016 -0.048789 -0.049554 0.0029093 0.12495 0.064358 0.19637 -0.16699 -0.029916 0.023698 -0.18189 -0.098997 0.1663 -0.0046889 0.10675 -0.046132 0.25022 -0.21531 0.076497 0.10399 0.53344 -0.25325 0.2124].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.029659 -0.11026 -0.065398 -0.36337 -0.29727 0.68234 -0.13622 0.2022 0.020456 0.26185 -0.15763 -0.0040669 -0.070232 0.20999 0.23698 0.18064 -0.21228 0.29922 0.24754 0.0099292 -0.037386 -0.089415 -0.34213 0.12556 0.0097786 -0.12086 -0.17601 0.11567 -0.071993 0.011367 -0.35709 0.02744 0.3482 0.04561 -0.12297 -0.0005308 0.057302 0.02614 0.00017722 0.16026 -0.067129 -0.40947 -0.41312 -0.33363 -0.018078 -0.36631 -0.017355 -0.035792 -0.16413 -0.21678 0.20279 -0.34347].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.059791 0.12454 0.14942 0.39834 -0.16002 -0.027374 -0.068183 0.025027 0.057588 -0.079885 0.097158 -0.04894 0.043118 -0.084464 -0.17721 -0.10917 0.21357 0.035996 -0.21335 0.10023 -1.2721 -0.62741 0.32638 -0.027391 0.011182 -0.074548 0.14336 -0.017788 0.10895 0.11559 0.41884 -0.27091 -0.28373 -0.041468 -0.012382 -0.013899 0.0094514 -0.090339 -0.00172 0.064145 -0.067023 0.45972 0.34173 0.069347 -0.0027978 0.60901 0.051256 0.020249 0.1359 0.071294 -0.076192 0.45767].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0030477 0.0062457 -0.29553 -0.16318 0.33675 0.067274 -0.18785 -0.12128 0.0018875 0.12304 0.045581 -0.21424 -0.025032 0.12214 0.42179 0.1235 -0.014239 0.0054681 -0.085501 0.034124 0.27248 -0.65929 -0.020757 0.075993 0.013669 0.21081 -0.16845 -0.13469 0.0090546 -0.29003 -0.11952 0.39819 0.043287 -0.14198 0.16405 0.016299 -0.019506 0.096607 0.001675 -0.10078 0.18182 -0.019971 -0.15198 0.096275 0.061187 0.010622 0.060241 -0.052681 0.25945 -0.16767 0.1721 -0.13894].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.10773 -0.36463 -0.062412 -0.26385 -0.27502 -0.32291 0.036522 -0.070533 -0.66648 -0.59795 -0.3036 -0.06651 0.049503 0.010687 -0.23014 0.14813 -0.12769 -0.086525 0.019499 0.4821 0.21011 0.07612 -1.7933 -0.020245 0.22678 -0.020188 -0.056047 -0.039815 -0.17191 -0.80828 -0.054275 0.060482 0.0090934 0.016479 0.10746 0.056818 -0.052914 -0.0089537 0.023007 -0.12594 0.043056 -0.53519 0.13253 -0.15229 0.032187 -0.012144 0.26589 0.14945 0.079162 -0.48191 0.27996 0.15177].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.02151 0.18333 0.3212 0.39869 0.010696 0.12112 0.0026161 -0.2135 0.29173 -0.92258 0.22662 -0.23815 -0.011273 0.20833 0.11986 0.005977 0.20678 -0.3036 -0.0052861 -0.42857 0.17837 0.10466 0.50984 -0.61312 0.061276 0.03272 0.021097 0.077837 0.069252 0.008631 -0.19761 0.032737 -0.014769 -0.0016026 0.00053596 -0.093089 0.00012185 0.0064268 -0.0040169 -0.22225 0.10391 -0.097979 -0.046827 -0.0023487 0.057877 0.11512 0.022855 -0.048352 0.56965 1.7221 0.00023243 -0.0041829].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.002883 -0.002731 0.14119 -0.12951 -0.0017417 -0.1863 -0.0044152 -0.010637 -0.14638 0.25058 -0.0314 0.48684 -0.012187 -0.018545 0.20836 0.042437 -0.080258 -0.091565 -0.14938 0.35334 0.1787 0.19939 0.019519 -0.448 0.025362 0.4728 0.1661 -0.47187 0.0014464 0.0018382 -0.011872 0.061198 -0.08712 -0.0073211 0.028326 0.21939 0.17345 -0.1793 0.002829 -0.35511 0.022297 0.054343 -0.30551 0.069598 -0.67258 0.21382 -0.027042 -0.044143 -0.052271 -0.15516 0.00029729 -0.025865].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0052402 -0.0057198 -0.12586 0.035008 0.086435 0.033212 -0.10796 0.22153 -0.15532 -0.12143 -0.026639 0.0019708 0.011162 -0.076545 0.011957 -0.035842 0.071695 0.025795 0.019405 -0.050572 -0.011652 0.057282 -0.45438 0.10103 -0.0058947 -0.19111 0.034237 -0.012835 0.016816 0.18281 0.039151 0.53731 -0.035092 0.10832 0.064268 -0.078364 -0.60946 0.19604 0.089658 0.5818 0.48126 -0.040534 -0.4903 0.18264 -0.027713 -0.025039 0.046034 0.041837 -0.010949 0.026549 0.0048166 0.029579].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0032821 -0.092925 -0.0082327 -0.24953 -0.23805 -0.038099 0.078865 -0.10972 0.015408 0.048493 0.017729 0.07776 -0.14093 0.11996 -0.015431 0.034258 -0.014169 -0.11523 -0.054895 0.062896 0.032123 -0.024981 0.5429 -0.17091 0.0011097 -0.29566 0.0078536 0.045645 0.0058868 -0.1353 -0.092132 0.021823 0.020381 -0.076429 -0.051112 -0.0014538 -0.35706 -0.0085447 0.067443 -0.028721 -0.4091 0.076179 0.48592 -0.35881 -0.1699 -0.27436 -0.080206 -0.1792 -0.064216 -0.12294 -0.072081 0.35556].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0085021 0.083706 0.10559 0.26624 0.23307 0.022419 -0.053402 -0.072805 0.060876 -0.0013407 -0.034025 -0.31076 -0.044137 0.12238 0.0041204 0.0039889 0.0089048 0.12367 0.038904 -0.020669 0.0037438 0.024823 -0.1406 0.006689 -0.25497 0.29275 -0.051543 0.010166 0.0022858 0.074609 0.069761 0.0090851 0.0025295 0.0094209 0.10495 -0.058712 0.0088163 -0.037892 -0.13123 -0.056336 0.38788 -0.12394 0.24306 0.079474 -0.10866 0.29343 0.030039 0.053426 0.064624 -0.36863 0.10578 -0.15315].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
Done.
# Age model construction algorithm is now running...
# Iteration 1:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0082154 -0.06443 0.12819 -0.013054 0.013203 -0.034243 0.047144 -0.74841 0.02845 -0.20415 0.055689 -0.063232 0.10482 0.04154 0.037333 0.19237 -0.15113 -0.1385 -0.095194 -0.5771 -0.030982 -0.0079418 -0.095833 0.072186 -0.09772 0.037809 0.066707 0.10483 -0.0032026 0.048909 -0.15422 -0.13855 0.012922 0.156 -0.052267 -0.041666 0.03553 -0.030844 -0.083193 -0.31772 0.39592 0.0058853 0.073534 -0.047865 -0.051197 0.32839 -0.0012195 -0.030434 -0.081457 0.033359 -0.040196 -0.42544].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13536 -0.0012636 0.097379 0.030335 -0.12967 0.093832 -0.15523 -0.53497 -0.11171 0.51412 0.053297 -0.035781 0.071435 0.061545 -0.17479 0.10006 -0.09659 0.25208 0.010304 -0.13344 0.063489 -6.0661e-05 -0.13137 0.0038421 4.6388e-05 0.055342 0.017287 0.065038 0.030033 -0.10564 -0.17735 -0.05476 -0.029858 -0.080578 -0.048845 0.13279 0.17309 -0.16519 0.075017 0.0079236 -0.15014 -0.23769 -0.031084 -0.63135 -0.0099148 0.015085 0.0044005 -0.0034299 -0.17564 -0.1268 0.010025 -0.029622].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.09715 0.059724 0.032875 -0.096814 0.22448 -0.13025 -0.00060785 -0.0065796 -0.073465 0.17271 -0.041973 0.12442 -0.15909 -0.29201 -0.50607 -0.38703 0.2426 -0.013101 -0.028217 0.074553 0.047041 0.028055 0.23673 0.33474 -0.10617 -0.40572 0.32694 -0.30053 0.0085512 -0.29328 0.2989 0.0073843 0.1151 0.012237 0.03612 0.16887 -0.27839 0.097608 -0.16099 0.30868 -0.16907 0.24021 -0.03865 -0.049902 0.11597 -0.092693 0.12837 0.017804 -0.020851 0.11973 0.021377 0.02074].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.010557 -0.020723 0.02227 0.14579 -0.39067 0.065596 -0.016143 0.08575 0.060553 0.32584 0.085998 0.044442 0.2239 0.59276 0.040821 -0.030144 0.002623 -0.02322 -0.012857 0.0024827 0.012339 0.084047 0.0092839 -0.024357 0.096094 0.0017089 0.87685 -0.39393 -0.023802 -0.13728 0.062894 0.057274 0.020916 0.048026 0.020351 -0.7828 -0.27928 0.64434 -0.06156 -0.15571 -0.12787 0.18781 0.13016 0.015428 0.1046 -0.26979 0.031964 0.18526 -0.13998 -0.044108 -0.085594 0.023304].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.041175 0.0037521 -0.053147 0.008021 0.83108 -0.027387 0.01584 -0.024138 -0.33928 -0.080162 -0.20563 0.038777 -0.25241 0.098457 -0.0091133 -0.0020359 -0.13068 -0.14195 -0.068749 -0.044007 -0.23699 0.0033463 -0.76956 0.04354 -0.059722 -0.19903 -0.11458 0.38347 0.037414 -0.023046 -0.41803 -0.0033266 -0.027634 -0.0011237 -0.01982 0.56572 0.35243 -0.16504 0.077487 0.25006 0.013562 0.0018137 -0.05394 0.036542 -0.25945 0.25655 -0.014347 -0.10364 0.12135 0.10269 -0.35995 -0.036958].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.020298 -0.0006609 -0.031881 0.03903 -0.014335 0.0066814 -0.00090143 -0.077077 -0.18114 -0.033417 0.19519 -0.0096086 0.16274 0.0024207 -0.0057846 0.028879 0.14625 0.14814 -0.12984 0.045223 0.21436 -0.084982 -0.092394 -0.20056 0.016695 0.069433 -0.52273 -0.10041 -0.055266 0.20934 0.538 -0.23063 -0.012088 -0.0031479 -0.31032 -0.11982 -0.15124 0.29702 -0.14695 -0.57638 0.095019 -0.16885 -0.30856 -0.091289 0.42901 -0.17789 0.016033 0.059476 0.031446 0.001332 0.32364 -0.021187].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.045342 0.00021689 0.082516 -0.16067 0.11699 -0.035171 -0.0090393 -0.14327 -0.22536 -0.25806 0.052105 0.01474 -0.019918 -0.19983 0.011413 -0.047621 -0.00554 0.013579 0.034992 0.089002 -0.65673 -0.042069 0.098907 0.20039 -0.13819 0.10343 0.06412 0.021301 0.030213 -0.25771 -0.40523 0.21239 -0.013112 -0.10175 0.13094 -0.26673 0.12696 0.21557 0.14613 -0.0082589 -0.98457 -0.048068 0.13987 0.15157 -0.24823 0.14444 0.0026657 -0.1604 -0.057934 -0.097205 -0.12332 -0.032112].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0038663 -0.016805 -0.026405 -0.28269 -0.021948 -0.030172 0.0047706 0.21892 0.67655 0.33689 -0.21002 -0.034389 -0.32359 0.07259 0.0073501 0.011926 -0.0278 0.016654 -0.066114 -0.22738 0.094034 -0.10725 -0.35894 -0.056892 0.18618 0.011744 -0.072848 -0.013322 0.083444 -0.077981 0.40339 0.0025407 -0.1128 0.097663 -0.018989 0.29101 0.027634 -0.39545 0.068507 0.0048109 -0.54135 0.11363 -0.41568 -0.063918 0.11835 0.040881 0.00036034 -0.043931 0.038173 0.076397 0.23936 0.057328].
# Iteration 9:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.06577 -0.036759 -0.3091 0.53745 -0.55414 0.092259 -0.094696 0.017689 0.23763 -0.15063 0.37362 -0.036646 0.068641 0.132 -0.016676 -0.0088521 0.031544 -0.029305 0.24723 0.20932 0.024796 0.18608 0.043273 0.036433 -0.082599 0.026153 -0.076779 0.13296 -0.092334 0.042239 -0.11353 -0.073987 0.10981 -0.079059 -0.15516 -0.076703 -0.13762 0.29822 -0.027636 -0.067321 -0.041319 -0.041923 0.32777 -0.13063 0.12762 0.022098 -0.077807 0.17542 -0.027241 0.0014495 -0.46439 0.012054].
# Iteration 10:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.023136 0.04709 0.06136 -0.15201 0.053861 -0.011103 -0.1558 -0.096031 -0.06226 0.0023206 -0.32389 -0.12509 -0.024288 -0.014755 -0.00079273 -0.075749 -0.049316 -0.029343 0.017457 0.011881 0.0077414 0.043243 0.033424 -0.35055 -0.13085 -0.21685 0.16079 0.0089947 -0.0083839 0.13389 0.10932 -0.10537 0.031525 0.035584 0.059633 -0.49867 0.15869 -0.5095 -0.091581 0.087582 -0.036165 0.14042 0.35579 -0.006954 -0.29551 -0.010231 -0.12644 -0.10235 -0.056386 -0.17531 0.40344 0.010231].
# Parameters are learned. Sampling algorithm is now running...
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# Results and figures are being stored...
[Warning: MATLAB has disabled some advanced graphics rendering features by
switching to software OpenGL. For more information, click <a
href="matlab:opengl('problems')">here</a>.]
Done.
Results and figures are stored in Outputs/R7_d18O_stack(1).
-------------------------------------------------------------------------------------------
Time elapsed = 39221 s
MATLAB is selecting SOFTWARE OPENGL rendering.
OMP: Warning #181: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2022 The MathWorks, Inc.
R2022a (9.12.0.1884302) 64-bit (glnxa64)
February 16, 2022
To get started, type doc.
For product information, visit www.mathworks.com.
Starting parallel pool (parpool) using the 'local' profile ...
Connected to the parallel pool (number of workers: 36).
Number of workers: 36
-------------------------------------------------------------------------------------------
## BIGMACS: Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals
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## Stack construction algorithm is now running...
# Initializing...
Data are loaded successfully.
Initializing the age samples...