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R28.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.
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 [8.20146 11.1804 18.441 5.29807 1.07583 7.03964 11.6995 2.72025 2.556 3.03325 -0.0931306 6.52785 1.36923 1.18491 13.4228 0.44661 2.41542 26.7778 3.09553 8.82974 29.089 6.37959 12.8849 14.7544 2.28495 0.172287 -0.143374 0.0171466 9.75732 2.58928 3.33809 2.11515 0.419912 5.4072 2.19384 4.91319 5.21936 4.28307 3.42052 3.6204 3.7359 10.5193 0.0838983 15.9808 7.18515 4.61997 4.64035 0.0818153 46.8843 50.071 11.9736 8.075 30.2068 27.9715 0.51665 1.22202 1.04718 8.97284 3.47691 4.65226 1.93388 2.14282 6.14958 0.321667 4.70857 30.0302 5.84783 7.82127].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0071258 1.3922 1.5394 0.18509 0.064062 0.14603 0.31774 -0.10269 0.04841 0.16383 -0.34514 0.92981 -0.027962 0.35508 0.88359 0.12878 0.11914 0.93275 0.30435 -0.031572 0.22409 0.4974 0.29118 0.13234 -0.10809 0.034607 -0.05838 0.26545 0.81955 0.074682 0.3241 0.099491 -0.18892 -0.093709 -0.022494 0.17988 0.018811 0.26175 0.1485 0.047154 0.46978 0.22237 0.1323 -0.1741 0.14799 0.067621 0.011638 0.074732 0.98006 0.52158 0.35269 0.82433 0.14408 1.5211 0.31478 0.40909 0.14343 0.32882 -0.12848 0.60811 1.6417 0.83962 0.086352 -0.11133 0.59272 0.73714 0.29541 0.14537].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0047147 0.032646 0.058902 0.23906 -0.11087 -0.083059 0.053067 0.12357 -0.037294 0.037112 0.016776 -0.13361 0.0040653 -0.43081 1.0817 0.025119 0.18647 0.011085 -0.024875 -0.12887 0.12572 0.1567 0.014279 0.051206 0.0052781 -0.014614 -0.046683 -0.032534 0.011923 -0.0049146 -0.14431 -0.25947 -0.12272 -0.011398 0.024127 -0.22602 -0.028132 0.00092035 -0.010679 0.088622 -0.11124 -0.12073 -0.10864 0.025517 0.037807 0.028097 -0.10374 -0.09545 -0.0027204 -0.14824 0.37235 0.017365 0.38846 -0.29919 0.061352 -0.0012344 0.23742 -0.085374 -0.30066 0.14966 -0.22546 0.17429 0.46266 0.3193 -0.20526 0.060976 -0.016688 0.60785].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.070484 -0.011254 0.93209 0.20151 0.30239 0.26993 -0.0072917 -0.0046261 -0.00079741 0.057422 -0.0029987 -0.09843 0.003795 -0.059409 0.69945 -0.19811 0.17549 -0.15493 -0.12001 -0.045865 0.096444 0.013452 -0.00037118 0.034804 0.0022102 -0.25084 0.038576 0.064455 -0.065349 -0.12653 0.00044569 0.082501 0.0038464 0.085915 0.03696 0.016102 0.013977 -0.044056 0.038716 -0.045045 -0.18168 0.0088332 -0.34013 -0.1027 0.069261 0.012724 -0.087634 0.044324 -0.009941 0.14291 0.093126 0.18356 0.62995 0.045793 -0.017255 -0.018759 -0.053492 -0.27878 0.004608 0.046671 -0.045503 0.16219 -0.14204 0.12131 0.50625 0.067041 0.14449 -0.26127].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.07364 0.012915 0.16199 -0.13989 0.31541 -0.076517 0.0038036 0.025318 -0.012413 -0.13791 -0.068493 0.1416 0.0075395 0.15232 0.0017964 0.21727 -0.083869 0.17439 0.051148 0.030771 -0.067549 -0.16391 0.0107 0.39367 -0.019548 0.21125 0.022822 0.0047693 0.055175 -0.065107 -0.004572 -0.24816 -0.004844 -0.013048 -0.058689 0.022225 -0.0032849 0.19841 -0.041893 -0.020145 0.18003 -0.0033152 0.15042 0.034854 0.0085802 -0.040981 -0.16882 -0.085301 -0.14783 -0.22752 -0.076058 0.11326 -0.75919 -0.14994 -0.075736 0.066824 0.04703 0.21331 0.17975 -0.034332 -0.10324 -0.028962 0.096472 -0.098498 -0.109 -0.12871 -0.0043507 -0.028637].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.12424 -0.013863 0.0061486 0.0027953 -0.13583 0.12053 -0.0024299 -0.019579 0.0073685 0.10352 -0.088822 -0.031367 -0.068916 -0.1424 0.027396 0.037546 0.073086 -0.061764 0.1552 -0.027185 -0.18713 -0.14513 0.0022815 -0.12625 0.0060098 0.025454 -0.047938 -0.31041 0.045237 0.20113 -0.01179 -0.21506 0.0066064 0.02468 -0.0060108 -0.01355 -0.048143 -0.024639 0.039631 0.029999 -0.10369 -0.014002 -0.21437 -0.1427 -0.012241 -0.047356 0.20024 0.065935 0.23309 0.17514 0.068597 -0.15433 0.4772 0.13734 0.14737 -0.064195 -5.395e-05 0.5541 -0.71708 0.058504 0.085254 -0.081947 0.0079002 0.14778 0.077079 0.096147 0.011001 -0.028384].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.027016 0.0040065 -0.035986 -0.095778 0.037039 -0.10174 0.028132 0.026116 0.013029 0.010201 0.12235 -0.036373 0.041103 -0.063971 0.0091173 -0.048929 -0.1062 -0.022322 -0.015873 0.04603 0.21021 0.25008 -0.050928 -0.068631 0.0068591 -0.10371 -0.15469 0.27352 -0.014958 -0.277 0.015538 0.35688 -0.0010956 -0.075021 -0.041622 -0.029428 0.03874 0.18627 -0.26881 0.01983 0.4655 0.012573 0.31987 0.021106 -0.15875 0.32751 0.034745 0.012581 -0.94082 -0.055353 0.0015847 -0.34772 0.056094 -0.049823 0.26931 -0.0066835 0.0064066 -0.023794 0.0012403 -0.018199 0.027935 -0.082355 -0.01055 -0.055414 0.0089448 -0.048473 -0.0045825 0.50196].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.083311 0.0081247 0.02625 0.18235 -0.095811 0.036378 0.0073653 -0.0076425 -0.010277 -0.11781 0.038837 -0.090813 -0.0093219 0.15298 -0.18119 -0.11361 0.071099 0.086219 -0.14821 -0.030856 0.0081237 0.017053 0.048708 -0.12034 0.0012061 -0.071693 0.074246 -0.0026863 -0.046828 -0.047052 -0.0052681 -0.05385 -0.0057247 -0.18608 0.099202 0.041743 0.0048115 -0.30459 0.38811 0.015815 -0.36671 -0.023519 0.017281 0.11561 0.15586 -0.01473 0.0056622 -0.002223 0.24166 0.07365 0.01581 0.13004 0.076012 -0.24271 -0.023788 0.045574 -0.0051218 0.21131 0.0063204 0.020665 -0.08001 0.23447 -0.011605 -0.0053534 0.033688 -0.044442 -0.026066 -0.088438].
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 [3.63933 2.27969 33.0691 1.84031 1.14149 3.05052 1.06765 9.87675 3.15603 4.32812 6.29544 5.67442 10.6219 5.10638 6.34614 7.9085 1.45624 23.0764 12.2768 3.02463 42.371 20.5715 27.8635 23.0231 5.64317 9.46032 4.91947 4.43359 1.29962 10.9158 4.09812 4.04537 5.19346 4.92596 3.36639 13.0666 6.25128 11.3901 1.67963 3.13752 2.39868 5.54202 12.5917 5.96264 7.15978 10.2563 3.29208 7.71242 17.5673 21.6533 21.6775 32.1191 89.1784 96.2911 11.0493 12.9227 6.82305 3.32246 6.8867 2.9975 11.7456 15.955 3.82541 9.07605 4.81913 40.0232 4.33804 8.90077].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.36248 1.0081 2.4694 0.17297 0.015466 0.55233 -0.048619 0.70805 -0.051525 -0.26596 0.23949 0.91361 0.43398 1.0785 0.46154 1.1027 -0.16264 1.812 2.0716 0.3044 0.78892 4.0123 1.9725 3.0958 0.32309 2.5758 -0.096537 0.10866 0.014298 0.43871 0.98466 0.36547 0.06004 -0.45453 0.081316 -0.027635 0.31988 0.62687 0.25992 -0.0095595 0.60121 -0.011136 1.0132 1.2257 1.03 0.91958 0.20105 -0.4696 2.5729 3.7471 1.0184 0.54317 4.9938 -0.46538 0.61627 0.63232 0.40718 0.90235 0.621 0.40195 3.5872 0.80393 -0.040609 1.4301 0.47497 6.1607 0.26216 0.79767].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.18426 0.38742 1.4987 0.31087 0.017726 0.5848 0.18822 0.02307 0.0044486 0.057456 0.0055501 -0.028788 -0.27301 -0.0057449 -0.03549 0.60114 -0.14923 1.0581 0.049042 -0.16892 0.040626 0.64317 0.13885 0.49696 0.16415 0.84531 0.050945 -0.30282 -0.088077 0.76277 0.17449 0.076089 0.050213 0.066201 -0.1565 0.21368 -0.095312 -0.19198 0.69496 0.28937 -0.024319 0.024716 -0.083074 0.050579 0.25691 0.34489 -0.059333 -0.25823 1.0713 -0.11001 -0.16001 0.69767 0.69862 3.4881 0.55089 -0.52189 -0.070131 0.2773 0.035204 -0.44088 -0.54971 0.091977 -0.041172 0.049509 -0.04577 -0.37616 -0.17 0.28688].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.029218 0.079966 -0.66697 -0.13017 -0.0024563 0.024689 0.028461 0.31376 -0.011674 -0.0021573 0.06792 -0.071907 -0.026874 0.88628 0.018864 -0.15222 0.18825 -0.011811 -0.28739 0.0077511 0.23392 0.15426 0.30505 -0.063949 0.29393 0.25068 0.10287 0.23299 -0.0088895 -0.057001 -0.05705 -0.12045 0.095286 0.20907 0.37094 -0.102 0.012054 -0.025847 0.070728 -0.057519 -0.45133 -0.01332 -0.0063134 0.081315 0.31141 0.074093 0.13255 0.020952 0.17029 0.20872 -0.27379 -0.17259 0.041427 0.42551 -0.14221 0.52708 -0.065513 0.080939 0.17149 -0.1358 0.0054701 0.078864 -0.0027924 0.063645 -0.02697 -0.15108 0.11145 -0.010236].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0030987 -0.31713 -0.69272 0.040823 -0.0086686 0.066122 -0.15461 0.0047446 -0.053308 -0.0020219 -0.31317 0.053501 0.13203 -0.62626 -0.015672 -0.37111 -0.22827 -0.27157 0.37 -0.29094 -0.076065 -0.82329 -0.59559 0.11938 -0.060863 0.018156 -0.16316 -0.11433 0.010579 -0.055624 -0.052557 0.089998 0.014032 0.038969 -0.33433 -0.057724 0.020908 -0.43206 -0.1395 -0.63384 0.48839 0.028256 -0.03354 -0.027307 -0.039801 0.015446 -0.0419 0.051253 -0.32728 0.065164 0.15194 0.065954 0.11653 -0.014734 0.13937 -0.6416 0.12726 -0.050994 0.0066018 0.12441 -0.031463 -0.0050872 -0.099792 -0.015863 0.0063883 0.096033 -0.0097401 -0.16426].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.034082 0.34708 0.19956 -0.048203 -0.025001 0.029679 0.023878 -0.063008 0.00553 -0.030127 0.31794 0.056025 -0.1977 -0.0026345 0.00083766 0.37537 0.21677 0.30801 -0.40544 0.27593 0.0018539 0.45838 0.055768 -0.23594 0.022449 -0.060342 0.0020668 0.074426 -0.047671 0.11309 0.018984 0.17873 -0.23691 0.20075 0.11724 0.059921 -0.031263 0.47439 0.14659 0.41781 -0.43393 -0.022162 0.012124 0.02556 0.21905 -0.027465 -0.023218 -0.090448 0.17299 -0.30865 -0.57403 0.011315 -0.019421 -0.0042445 -0.004726 -0.13457 -0.087816 -0.041896 0.0067222 -0.016692 -0.017034 -0.11212 0.084159 0.0034875 -0.019656 0.10034 -8.6954e-05 0.19577].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.034848 -0.14608 0.07373 0.049419 0.004401 -0.011409 0.16565 0.076238 0.057443 -0.026867 -0.071184 0.031422 0.061706 -0.021962 -0.015182 -0.15618 -0.070155 -0.083742 0.78361 -0.052976 0.30706 0.021947 0.0067671 0.024793 -0.043649 0.0027321 0.31521 -0.30601 0.055652 -0.28334 -0.0024118 -0.13156 0.12181 0.068836 -0.09236 -0.64036 0.0069211 -0.38436 -0.20781 -0.43133 0.21687 -0.082977 0.015263 -0.0098824 0.03158 0.028407 -0.024603 0.058731 0.18598 0.30824 0.12224 0.018105 -0.0031894 -0.15895 -0.27145 0.070476 0.13201 0.0066076 0.00027678 -0.021429 -0.086975 0.060537 0.0089038 0.011698 0.017106 -0.083121 0.0029801 -0.0054138].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.01155 -0.20209 -0.24284 -0.036573 0.034678 0.036266 -0.33321 -0.045879 -0.0090358 0.046677 0.05133 -0.030247 -0.44061 0.024809 -0.09878 0.28214 0.057974 0.0027305 0.016287 0.071349 -0.017702 -0.12958 -0.098765 -0.21417 -0.12082 0.058129 -0.26323 0.27976 0.003194 0.21696 0.034748 -0.0026513 0.1954 -0.3416 0.11353 0.24652 -0.055345 0.30781 0.24858 0.49505 0.2356 0.055635 -0.028548 0.0094604 -0.23638 -0.0088521 0.092388 0.049878 -0.2315 -0.22659 -0.41639 0.017925 0.0097735 0.18495 0.28198 -0.064306 0.012168 0.03434 0.0018054 0.051654 0.13242 -0.20107 -0.0030539 -0.00041703 -0.0056246 -0.029818 -0.040735 0.0094521].
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 [-0.38625 -0.0075595 -0.38616 -0.58993 0.19767 0.45291 0.001111 0.97801 -0.049096 0.058287 0.21407 0.11734 0.20014 0.21466 0.118 0.21421 0.21772 0.29728 1.6237 -0.50838 0.68612 -0.08732 0.39202 -0.505 -0.025586 0.19364 0.10739 0.016301 -0.22009 0.023569 0.15511 0.38155 -0.33161 0.026057 0.087872 0.00044201 -0.079359 0.0079258 0.34435 -0.0004773 0.059837 0.0085373 -0.037131 -0.021638 0.07973 0.34591 -0.071902 0.091993 -0.25447 0.039199 0.24592 0.19687 0.34071 0.61903 -0.033159 0.043702 0.21791 -0.22824 -0.12721 0.054517 0.095227 -0.057619 -0.058047 0.18377 0.24355 0.0055017 -0.090602 0.10565].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.21291 0.053329 0.7662 0.087445 0.093047 0.23081 -0.35405 -0.11567 -0.046613 0.024818 0.13158 0.13883 -0.02958 0.080675 -0.031926 0.051132 -0.070373 -0.19602 -0.39745 0.14632 -0.14336 0.076507 0.21509 -0.34698 0.24105 -0.03008 -0.36057 0.03225 0.0098732 0.02566 0.085402 -0.070146 0.22651 -0.015852 0.047156 0.24102 -0.088068 0.13219 -0.28799 0.065898 0.34735 -0.36266 0.066071 0.41832 -0.006351 -0.0057487 -0.12411 -0.0051741 -0.007303 0.25626 0.25763 -0.051293 -0.1311 0.067745 -0.31232 -0.0028475 -0.090603 -0.009506 -0.072972 -0.0095548 -0.055385 0.16828 0.0097583 -0.027581 0.0044347 -0.23917 0.11925 -0.053183].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0028525 0.012495 0.31121 0.082622 0.17085 0.073888 0.035203 -0.28123 0.099516 -0.058669 -0.015603 0.042151 -0.062825 0.64831 -0.10258 0.49333 0.49112 0.044041 -0.1826 0.16044 -0.17069 0.032291 -0.0037724 -0.17855 -0.019266 0.39104 0.030181 0.11819 0.62006 0.00054151 -0.057585 -0.023744 0.064216 0.20643 -0.045958 0.018235 0.038809 -0.1604 0.014423 0.10253 0.061761 0.029956 -1.0122 0.30716 0.13565 0.47677 -0.31511 -0.36747 -0.45489 0.21944 -0.11956 -0.17501 0.07419 -0.25101 0.18285 -0.14235 0.44776 -0.72032 -0.0058886 -0.14367 0.020028 0.118 -0.11963 -0.38998 -0.16452 0.070989 0.057108 0.12622].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.016614 0.05339 -0.0076556 -0.26405 -0.00096714 0.6169 0.1556 -0.17202 -0.048737 -0.13265 0.10703 -0.043968 -0.053306 -0.045103 0.079539 0.0014728 -0.16669 0.052956 0.075023 -0.055805 -0.080691 0.0036512 0.38185 0.045624 0.051437 -0.053212 0.081421 -0.019734 0.33481 0.040077 0.24996 0.049328 0.0040893 0.14905 0.055919 0.025134 0.037972 -0.026591 0.12129 -0.060935 -0.021343 0.035951 0.20055 -0.11292 0.28684 0.33807 0.051568 -0.03485 0.055527 0.35568 0.017089 -0.0010478 -0.20514 0.11336 0.16878 0.039563 0.016688 0.097922 0.11154 0.073142 -0.53468 -0.054281 -0.32702 -0.43707 -0.065458 -0.63879 -0.010948 0.2585].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.20785 0.01251 -0.491 0.46044 -0.019363 0.015685 -0.057715 0.1743 -0.01236 0.68024 0.016995 -0.086936 0.038318 0.031729 -0.28013 0.39796 0.14382 -0.056046 -0.3032 0.11751 0.063682 -0.096122 0.0018912 -0.00085321 -0.10436 -0.021679 0.0061514 -0.042258 0.013331 0.0025845 0.011471 0.029019 0.021295 0.086258 0.014653 0.39572 0.0057357 -0.010261 -0.2151 0.0018044 -0.024708 -0.022511 0.032819 0.098946 -0.16921 -0.077571 -0.15537 -0.10872 0.090316 0.074618 -0.0027 -0.020845 -0.28618 -0.039598 0.0027762 0.0012112 -0.022387 0.077545 -0.040977 -0.15675 0.31519 -0.031187 -0.028437 0.5243 0.082773 0.19997 0.014963 -0.066539].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.14359 0.098875 0.35609 -0.033612 0.01611 0.035092 -0.053364 0.015675 0.091816 -0.0037865 -0.11408 0.044482 0.013099 0.033897 0.29107 -0.77791 0.015735 0.17737 -0.044806 -0.41873 -0.57577 0.052301 0.21805 -0.056261 0.050524 0.068307 -0.016493 0.039317 0.012027 -0.037527 -0.14375 -0.0069643 -0.021179 0.014644 -0.017818 -0.25707 -0.019004 -0.11395 0.20742 0.051668 0.055357 -0.023515 -0.068947 -0.0019623 -0.15053 0.0954 -0.20771 -0.17788 -0.22637 0.067837 -0.085862 -0.024835 0.65374 -0.00075485 -0.079621 -0.017384 0.020488 -0.034155 0.035917 0.18231 -0.0077052 0.023979 0.67574 -0.045827 -0.12158 -0.024855 -0.013406 0.074428].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.052301 -0.077064 0.059853 -0.10803 0.00041429 0.018245 -0.010159 -0.31063 -0.023497 -0.12475 0.057038 0.11343 -0.00054627 0.0071126 -0.0055504 -0.13922 0.030151 -0.073403 0.40581 0.38788 0.6835 0.038943 -0.96859 -0.022946 0.042909 0.010947 -0.10415 -0.056245 -0.21762 0.035711 -0.026652 -0.022249 -0.017226 0.051076 -0.096708 -0.034119 -0.0023093 0.14245 -0.035681 0.029032 0.005034 0.034309 0.053804 -0.081881 -0.59829 -0.1691 -0.12351 0.30674 0.13225 -0.062173 0.0058856 -0.2976 0.65621 -0.18391 0.097647 -0.61518 -0.025145 -0.052255 -0.15906 -0.058599 0.0034005 0.046593 0.030672 -0.064499 0.13758 -0.32872 0.0011514 -0.17784].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.055634 0.066201 0.08996 -0.089928 -0.010655 -0.0040065 -0.019023 0.29917 -0.10923 0.12403 0.2188 -0.00058666 -0.13519 -0.073143 -0.32371 0.23556 -0.089547 0.070356 -0.053889 -0.082286 -0.13687 -0.05393 0.11179 0.056529 0.030199 0.0014636 -0.025911 0.054744 0.064478 -0.0065748 -0.087925 -0.0079448 -0.080532 0.15033 0.084912 0.18309 0.022766 -0.045795 -0.019794 -0.21179 0.0030602 0.0039946 0.0070638 0.10207 0.32881 0.18606 0.22121 -0.21499 0.1074 0.053182 0.08193 -0.28687 -0.016016 0.044514 -0.021211 0.36268 0.0256 0.028855 0.043703 -0.19101 0.0024923 -0.01205 -0.011159 0.14216 0.0020684 0.31457 0.011164 0.16277].
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 [0.015144 0.031683 0.67937 -0.15958 -0.015754 -0.21758 1.2776 0.087784 0.29913 0.000576 0.3237 0.24654 -0.15553 0.26008 0.091005 0.097003 -0.24231 -0.027434 -0.015335 0.068119 0.65041 0.04911 0.37494 0.030102 -0.37373 -0.19927 0.0079631 -0.046841 0.062976 0.21949 0.27468 0.25658 0.072449 0.21559 0.11351 0.016358 0.084072 -0.57923 -0.02865 0.42358 0.082389 -0.38081 -0.63129 -0.11384 -0.0075355 0.12305 -0.018943 0.033737 0.8695 -0.17952 0.1605 0.82822 0.82231 0.51843 0.22181 0.18623 0.20018 -0.11282 -0.01003 -0.03013 -0.60868 -0.002021 -0.080208 -0.024192 -0.048413 0.74184 0.35094 -0.1539].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.049039 -0.17901 -0.013951 0.063812 0.030272 0.16789 0.28284 -0.43192 0.020538 -0.0092892 -0.0028299 -0.27277 0.41562 0.14268 0.10479 0.016832 -0.74632 0.012693 0.094323 -0.068366 -0.058926 0.30033 -0.23749 -0.18011 -0.01125 0.099316 0.15304 0.1287 -0.1189 0.12701 0.032982 0.0018249 0.039245 0.047421 -0.098255 -0.14967 -0.33875 0.26634 -0.26318 -0.07143 -0.19967 0.097137 -0.27267 -0.51033 -0.33765 -0.087088 -0.06083 0.024164 0.40278 0.1118 -0.49185 0.35375 -0.070462 0.089888 0.21912 0.023322 0.45215 -0.018732 -0.095955 0.18597 -0.1783 0.19857 -0.16275 0.30174 -0.05238 0.09752 0.030047 -0.04873].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.2284 0.018363 0.57421 -0.45177 -0.09529 0.16512 -0.084897 -0.070388 -0.067102 0.37041 0.039286 -0.011352 0.22215 0.083869 0.0017162 -0.062704 0.04586 -0.12401 0.0078921 -0.068601 -0.25769 0.11663 -0.030062 0.27934 -0.16701 0.10136 -0.35564 0.010923 0.014494 -0.033099 -0.084289 0.075064 0.036664 -0.10039 -0.10887 0.16118 0.2198 0.24628 0.12042 0.081994 -0.026812 0.15912 0.05786 0.062319 -0.39089 -0.18077 -0.020466 -0.0013501 0.17712 0.047801 0.41576 -0.30296 -0.078623 -0.0071977 -0.30907 0.30706 -0.37426 0.050515 0.023044 -0.16574 0.016464 -0.099446 0.20547 0.16325 -0.29622 0.0052266 0.084012 -0.057571].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.081722 -0.04116 -0.35049 -0.25319 0.032631 -0.19597 0.12745 -0.27386 -0.19227 -0.058785 -0.30434 0.081328 0.07007 -0.087233 -0.083663 0.16496 -0.14397 -0.031724 -0.059575 -0.37556 -0.086456 0.0057112 -0.0098525 0.035918 0.19992 -0.18104 0.36946 0.013009 0.058683 -0.78014 -0.1968 -0.14981 -0.030407 -0.23974 0.0031331 -0.015513 -0.010406 -0.44128 -0.13306 -0.083945 -0.050859 0.059656 -0.10645 -0.20688 -0.10258 -0.090521 0.16764 0.31336 -0.44822 -0.047522 -0.14602 -0.052663 -0.026668 0.067719 0.2004 -0.12731 -0.67956 -0.03737 -0.025627 -0.23554 1.2055 -0.016852 0.02085 0.14347 -0.0072469 0.013912 0.10877 0.045854].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.25566 0.12937 0.22834 -0.64699 -0.06173 -0.2622 -0.011042 0.29474 0.16107 -0.098739 -0.012119 -0.0067551 -0.1979 0.11803 0.072298 -0.021237 -0.13628 0.036397 0.038645 0.38241 0.26846 -0.87545 -0.06499 -0.071047 -0.64369 0.2733 -0.20655 0.035002 -0.06591 -0.19495 0.35511 0.019725 0.029258 0.54524 0.036683 -0.048039 0.0054601 0.42937 0.23014 0.080025 -0.11988 -0.12795 0.2328 0.4521 0.22806 -0.33932 -0.077828 -0.12063 -0.10128 0.00059628 0.38888 0.22113 -0.016214 -0.2173 0.089334 0.029516 -0.0046988 0.055476 -0.033545 0.24309 0.018729 0.00038183 0.003845 -0.034015 -0.09114 0.021664 -0.034732 0.0052304].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.082031 -0.19524 -0.14671 -0.012305 -0.014987 0.28589 -0.048698 -0.0016775 0.11373 0.16262 0.41121 0.013414 -0.19887 -0.0018914 0.056972 0.07034 0.13844 -0.014033 -0.055358 0.025569 -1.1303 0.05971 -0.0050085 -0.11577 -0.15749 -0.0033877 -0.21035 -0.42275 0.13152 0.042259 -0.10896 0.26259 -0.0006266 0.0038698 -0.056644 -0.11881 -0.005985 -0.13639 -0.020226 -0.039292 -0.058899 -0.032537 0.032047 -0.37016 -0.97861 0.079912 0.18749 0.069743 -0.03717 -0.032483 -0.046796 -0.60659 -0.40076 -0.33527 -0.1161 -0.40174 0.14365 -0.045509 0.026986 -0.0028322 -0.065513 -0.0027791 0.033011 -0.010164 0.072997 -0.0097695 0.048084 0.0051165].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.20538 -0.047752 0.013274 -0.41934 0.10143 -0.096926 -0.16371 0.087563 0.050476 -0.015928 0.14318 -0.33624 -0.033148 -0.15836 -0.13992 -0.076043 0.23165 0.04667 0.026484 -0.047104 -0.02149 -0.040355 0.077753 0.18513 0.091275 -0.024941 -0.023739 0.18349 -0.0032492 -0.0041009 0.12736 -0.43801 -0.013312 -0.1208 -0.023557 0.12392 0.0017062 0.093903 0.023802 0.047424 -0.0083309 0.075113 0.017494 -0.13641 -0.39783 0.20044 -0.010337 0.11921 0.45471 0.072208 -0.20102 0.88586 0.42149 0.33528 -0.2529 -0.57455 0.068371 0.044986 -0.0061634 -0.12374 -0.0013927 -0.15247 -0.067396 0.044482 0.038826 0.010579 -0.0067829 -0.013188].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.19088 -0.0023831 0.065171 0.44061 -0.012196 -0.19519 -0.1435 -0.44111 0.067897 -0.013982 -0.14905 0.1321 0.41517 0.15552 0.13437 0.0036236 -0.081839 -0.1243 0.0021133 0.16155 0.14268 -0.054427 -0.00010365 -0.020451 -0.056635 0.025959 -0.046647 0.083161 -0.012319 0.081516 -0.0014114 0.26013 -0.0058716 -0.075808 0.093916 0.034974 -0.040237 -0.51565 -0.0077133 -0.063514 0.15472 -0.075517 -0.0027603 0.56691 0.3615 -0.26521 -0.44824 -0.012107 -0.018639 -0.012238 0.1804 0.1377 -0.025939 -1.1935 0.26911 0.70801 -0.21321 0.0046064 -0.13982 -0.10119 0.042854 0.14523 0.068014 -0.074481 -0.060219 -0.045543 -0.02959 0.013724].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.28688 0.040632 0.059213 0.0034331 -0.053438 0.06667 0.27706 0.12975 -0.35291 0.025097 0.0036368 0.20789 -0.18982 -0.13949 -0.14838 0.047562 -0.15057 0.13564 0.02714 -0.0031788 -1.0176 0.061424 -0.031277 0.024343 -0.11549 -0.076996 0.093842 0.068293 0.018242 -0.091857 0.06154 0.078511 0.023047 -0.17828 -0.012187 -0.45295 0.035373 0.032123 -0.0057503 0.056185 0.10002 -0.2283 -0.011294 -0.0033194 -0.042367 0.30656 0.28904 -0.12437 -0.86416 -0.025791 0.036708 -0.0076854 -0.0078346 0.26339 -0.25241 -0.064776 0.25857 -0.14032 0.1501 0.12708 -0.16175 -0.042109 -0.033965 -0.029628 0.051411 0.0083219 0.010005 -0.027309].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.098156 0.044655 -0.1007 -0.24718 0.096635 -0.28298 0.060081 0.24787 0.0053118 -0.0017453 -0.4945 -0.12619 -0.091258 0.15229 -0.0085374 -0.016578 0.16537 -0.20182 -0.01016 -0.091552 0.094946 -0.19684 0.011007 -0.11034 0.10436 0.12115 -0.079867 0.081673 0.0045768 0.15074 -0.062073 0.10116 -0.0080584 0.31615 0.0050237 0.062073 -0.029 0.001297 0.012446 0.0079404 -0.17083 0.08439 -0.01061 -0.0035458 0.019588 0.014513 0.1435 -0.07507 -0.0032843 -0.30288 -0.14825 -0.0024414 -0.045423 0.06642 0.16884 -0.1113 -0.1238 0.096878 0.012157 0.092263 0.17907 0.013275 0.043635 -0.24734 -0.085531 0.033775 0.02954 -0.035958].
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 [-0.11773 0.0234 -0.51791 -0.030707 0.35851 0.005949 -0.76572 -0.12021 0.43588 -0.15518 -0.019681 -0.053657 -0.29541 0.05211 -0.66198 -0.24363 -0.32385 -0.21276 0.018115 -0.023137 -0.68158 -0.023831 -0.71327 0.15806 -0.025218 0.028189 -0.12002 0.081843 -0.12804 0.097281 -0.18268 -0.025295 0.084222 0.0026073 -0.0067269 -0.091287 -0.0030804 0.2233 0.083579 0.081646 0.75399 0.30907 -0.32488 -0.13854 0.022384 -0.067243 0.16773 0.053371 1.3929 0.045314 4.9474 0.0058964 0.57178 0.43999 0.77213 0.13056 0.26721 0.16208 -0.307 0.22512 -0.027029 0.0044378 -0.71778 0.058007 0.061224 0.093003 -0.17679 0.024462].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.026203 0.12317 -0.13342 0.16263 0.35958 -0.052894 0.34143 0.036532 0.21637 -0.10082 0.046872 0.014387 -0.0065013 0.12853 -0.016837 -0.042186 0.071 -0.57095 0.14995 -0.10743 0.0074057 0.62669 0.30626 -0.12443 0.072563 0.11126 -0.14046 -0.2625 0.020735 0.32631 -0.055409 -0.12314 -0.014098 -0.052125 -0.22929 -0.072698 0.063064 0.023019 -0.049067 -0.0039586 -0.20029 0.034016 -0.063846 -0.2401 -0.54406 0.0078662 0.046978 -0.10451 0.34388 0.42819 0.029114 0.31857 0.94112 0.36371 -0.72805 0.15733 0.23272 0.47826 0.053918 -0.58795 0.10267 -0.19729 0.24016 0.17574 0.56047 -0.26821 1.071 -0.36042].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0017197 -0.016571 -0.088622 -0.059353 -0.040095 0.12279 -0.053566 0.3781 0.021781 0.31591 0.16361 0.078655 0.025936 -0.27845 -0.03221 0.093095 -0.12131 -0.040668 -0.025572 0.014678 0.18301 -0.037632 0.043423 0.042172 0.22954 0.011165 0.24002 -0.0037664 0.29332 0.066815 0.070472 -0.023721 -0.097771 -0.076598 -0.081884 -0.013017 0.04197 0.00014841 -0.017105 -0.014777 0.016392 0.017233 0.022342 0.22798 0.20559 -0.02122 -0.12754 -0.17845 0.0044088 0.45393 -0.43373 -0.10248 -0.16151 0.042407 0.10297 0.38691 -0.0056585 0.0019164 0.014956 -0.15055 -0.2589 0.076986 0.11419 0.061656 0.27881 -0.19323 -0.090037 0.018494].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.10718 -0.0034783 -0.080691 0.21646 0.0088653 0.061083 0.061183 -0.084283 0.023379 0.0026846 0.37989 -0.55659 0.19583 -0.019067 0.035645 0.062159 -0.059454 0.2228 0.050224 -0.012069 0.038717 -0.0065678 0.020394 -0.19203 -0.1876 0.37195 0.17192 -0.32333 0.35744 0.040614 -0.087165 0.04268 0.0027566 -0.043141 0.15295 -0.17129 0.12606 0.05236 -0.11245 -0.0084313 -0.033733 0.082894 0.056839 0.31137 0.0074692 0.25484 -0.063217 0.0078437 0.38311 -0.044172 0.077279 -0.34151 -0.93007 -0.16595 0.14678 0.024444 -0.38366 -0.028994 0.10827 0.1023 0.31239 0.028292 -0.034036 -0.043227 0.10447 -0.25587 -0.019537 0.26372].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.04574 -0.10081 -0.27473 -0.26156 -0.074248 -0.053459 -0.40241 0.043128 -0.11167 -0.060693 -0.2239 0.0512 0.096204 -0.16417 0.20909 0.10086 0.046681 -0.16513 0.0081445 -0.46847 0.010847 -0.11828 -0.0036153 0.017829 -0.005979 -0.053748 -0.14987 0.41909 -0.035426 -0.21314 0.04531 -0.070629 -0.044042 0.0031962 0.12322 0.48194 -0.0053356 -0.12804 -0.019249 -0.017276 0.15418 -0.04637 0.12087 -0.11498 0.014689 -0.28699 -0.0088921 -0.0013581 -0.60798 0.15531 -0.063143 0.47319 -1.2269 -0.063981 -0.39013 -0.058298 0.36442 -0.17222 -0.17558 -0.034341 -0.21173 0.078453 0.046619 -0.030664 -0.053585 0.27122 0.010459 -0.043941].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.026315 0.074655 0.26351 0.011967 0.070044 0.066653 0.012913 0.030433 0.075881 -0.026235 0.2747 0.027995 -0.17363 0.15584 -0.19382 -0.1735 0.045059 0.15306 0.00075091 0.47093 -0.0065327 0.1198 0.025995 0.31835 0.031963 0.017522 0.027246 -0.17035 0.0034067 0.21302 0.046833 0.04728 0.061724 -0.084154 -0.13008 -0.099797 0.010333 0.23448 0.07916 -0.069173 0.2271 -0.015425 -0.10341 -0.19946 -0.0068492 0.14551 0.061248 -0.00027046 0.37227 0.093211 -0.13357 -0.36153 -0.32003 0.29926 -0.22475 -0.138 0.001246 0.23896 0.26327 -0.21244 0.25571 0.1321 -0.065488 -0.020103 -0.25073 -0.45473 0.0077166 0.0051849].
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 [0.11754 0.019717 -0.19472 -0.086098 -0.39045 -0.3076 0.23088 0.19027 -0.088551 0.27099 -0.18743 -0.010817 -0.50527 0.5088 -0.29768 0.029923 0.21808 -0.56168 0.053389 -0.011841 -0.11529 -0.72273 0.092993 -0.28527 -0.31706 0.02157 -0.028566 0.045145 0.1121 -0.091038 0.044651 0.016428 0.0048787 0.014041 0.058044 0.051854 -0.056162 0.10211 -0.45892 0.12817 -0.070695 0.12916 -0.32176 0.24897 0.029461 -0.16475 -0.12356 0.014846 0.23899 0.26627 -0.1437 0.063085 0.60365 -0.018312 0.072241 0.93744 0.12171 0.35343 0.016713 0.058063 -0.047125 0.53304 -0.084971 -0.13935 0.017809 -0.029319 -0.58357 0.22219].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.46995 0.13501 -0.3796 -0.068847 0.070185 0.10273 -0.046227 -0.54634 -0.0036489 0.18922 -0.062978 0.012379 -0.03111 0.13911 0.16146 -0.10503 -0.44976 0.28664 -0.080909 0.03837 0.0014021 0.30618 -0.33865 -0.024608 0.048295 0.056842 -0.38596 0.044731 -0.017435 -0.29924 -0.10074 -0.16107 0.069 0.10238 -0.0089079 -0.17104 0.13221 0.1508 -0.18311 -0.016603 -0.4847 -0.65144 -0.10106 0.15457 -0.052902 0.057351 -0.031429 0.11579 0.13037 0.24794 0.33236 -0.15843 0.17157 -0.38304 -0.22796 -0.30419 -0.11087 -0.24924 0.0067599 0.34979 -0.13082 -0.13251 1.1213 0.28877 0.034614 -0.026471 0.32933 -0.056146].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.049427 -0.029307 0.52058 0.3643 -0.077234 0.0062261 -0.038488 0.053739 0.00010697 -0.32935 0.068362 -0.016003 0.84682 0.0097349 0.020071 0.11923 -0.011581 -0.22174 -0.0087922 -0.03517 -0.091872 -0.40459 -0.065585 0.028886 -0.21049 0.14633 0.084353 -0.11227 -0.26792 0.0084609 -0.015859 0.14384 -0.022125 0.12834 0.032103 -0.029458 0.070753 -0.040155 -0.015958 -0.068298 0.036371 0.069447 -0.10734 0.038376 -0.054417 0.064608 -0.040083 0.03506 0.64964 -0.10804 1.1903 -0.017053 0.42453 0.15251 0.047628 0.56531 -0.25078 -0.011736 0.22901 -0.34317 0.079595 -0.0091448 0.32863 0.51715 0.020639 0.16303 0.051289 -0.053981].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.25871 0.0089527 0.80158 0.35625 0.0013776 0.60557 -0.025819 -0.039223 -0.14301 0.20659 -0.023008 -0.14339 -0.21675 0.1888 -0.70165 0.19578 0.0025635 0.28269 0.08939 -0.089007 -0.067949 0.29204 -0.0011341 -0.12047 -0.074973 -0.080489 -0.010359 -0.15991 -0.15499 -0.11141 -0.032867 0.038605 -0.016671 -0.079639 -0.33852 -0.022514 -0.088634 -0.27662 -0.04283 0.056772 -0.066707 0.099149 0.01318 -0.078492 0.068649 -0.27535 -0.0080598 -0.075625 -0.060144 -0.036561 0.43004 -0.32992 0.016708 -0.0030107 0.092541 -0.18203 0.051468 -0.18771 -0.10276 0.068789 -0.054877 -0.07023 0.30989 -0.062223 0.0016377 0.39488 0.26425 0.057337].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.2642 -0.0042541 -0.57824 0.30266 0.0048192 -0.097099 0.1531 0.030726 0.022524 -0.11319 0.010405 0.053832 0.1781 0.0066369 0.019458 -0.00224 0.020855 0.13292 -0.092504 -0.019835 -0.26736 0.33542 -0.17405 0.091386 0.1681 -0.12879 -0.010003 0.29349 -0.0053487 0.11059 -0.013712 -0.008399 0.012626 0.11096 0.061997 0.021665 0.037314 0.21432 -0.013429 -0.044279 -0.35795 0.30065 -0.33784 -0.13414 0.022708 0.46056 -0.031835 -0.12182 -0.00099299 0.20832 -0.15271 0.678 -0.27176 -0.018579 0.032747 0.22204 -0.078292 0.42341 -0.024722 -0.03282 0.32324 0.029333 -0.22162 0.05566 -0.0013033 0.78605 -0.11802 -0.010956].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0099233 -0.0024852 -0.046799 -0.089571 -0.04411 0.018633 -0.25727 -0.10159 -0.011814 -0.03252 -0.25859 0.20758 -0.029282 -0.0059916 0.0038359 -0.0039085 0.0045788 -0.17554 0.13355 -0.025351 -0.079185 0.062231 0.14853 -0.0039349 -0.12803 0.11921 -0.099071 0.19647 -0.074106 -0.45969 -0.00488 -0.2926 -0.004851 -0.18409 0.24956 -0.096775 -0.065269 -0.0269 0.04878 -0.15208 0.87171 -0.21691 0.30169 0.17549 -0.34996 0.09758 0.046563 0.14736 0.0074776 0.004398 0.19615 -0.0021233 0.25407 -0.036803 -0.012871 -0.0099272 -0.1071 -0.45657 -0.18738 -0.0054091 -0.019018 0.015604 0.15366 -0.068928 -0.02348 -0.32479 -0.026152 -0.06099].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.005752 0.0042601 0.066071 -0.11062 -0.098769 -0.29076 0.21327 0.035892 -0.010795 0.08008 -0.26048 -0.32646 -0.026265 -0.012148 -0.0069602 -0.037176 -0.2122 -0.075773 0.06759 0.18249 0.00089677 -0.079176 -0.023664 -0.041963 -0.1679 -0.048026 0.11608 0.17904 0.11911 0.44238 0.015536 0.096004 -0.018982 0.14759 0.1587 0.09597 0.12792 0.15556 0.003192 -0.24751 0.54249 0.057078 -0.033885 -0.042696 0.24552 -0.0036866 -0.037125 0.064826 0.055997 -0.19974 -0.13881 0.026663 0.018648 0.058122 -0.037154 -0.17002 0.17822 -0.0078801 0.08395 -0.066903 0.030422 -0.003746 -0.034444 0.076718 -0.061936 0.41703 -0.0037931 -0.13208].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0017431 0.0027014 -0.13682 0.10121 0.054001 0.36997 -0.31264 0.073826 -0.17581 0.020938 -0.01166 0.32485 0.0056038 0.030588 -0.022301 -0.27118 0.23644 -0.0075414 -0.11756 -0.010484 -0.37108 0.014535 -0.016854 0.021327 0.19186 -0.3929 -0.01076 -0.10465 -0.074921 0.012465 0.0042533 0.20981 -0.063901 0.0091434 -0.30208 -0.15586 -0.0097463 -0.044254 -0.0092153 0.14391 0.070969 0.076066 -0.051713 0.030014 0.086384 -0.092133 -0.033532 0.0039694 -0.095534 0.19395 0.1384 -0.029489 0.00080224 -0.2303 -0.17715 -0.21607 -0.33416 0.3301 0.18181 0.090762 -0.11304 0.020837 -0.25147 -0.21648 0.080964 -0.077957 0.090137 0.20055].
# 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/R28_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 16507 s