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R106.log
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MATLAB is selecting SOFTWARE rendering.
OMP: Warning #182: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2024 The MathWorks, Inc.
R2024a Update 5 (24.1.0.2653294) 64-bit (glnxa64)
June 24, 2024
To get started, type doc.
For product information, visit www.mathworks.com.
Starting parallel pool (parpool) using the 'local' profile ...
Connected to parallel pool with 36 workers.
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 [20.89948 14.17428 101.327 38.33886 10.30029 10.82684 5.228036 4.638235 3.186104 6.857463 2.52327 8.178552 3.625494 8.042246 14.68465 12.44502 11.90671 9.918884 10.17789 6.647068 26.91118 6.255418 2.285991 2.355995 5.82082 2.015895 -0.8823948 3.304607 1.031341 3.233854 4.184411 9.362449 5.972212 9.152479 6.45723 0.173649 2.06709 1.388587 26.97077 21.11852 47.11553 3.867717 1.96071 15.66038 20.27242 15.92797 13.35315 23.78553 5.263102 10.77905 8.711371 13.27388 12.33607 3.699588 4.948938 12.74413 86.54285 1.798929 158.4736].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.0109 0.0467155 7.36904 1.74616 0.170403 -1.55125 0.615725 0.101602 0.822963 1.35232 -0.125405 0.468585 0.708694 1.15461 0.536685 1.49407 -1.33284 0.0668621 0.453378 0.613913 1.96305 -0.251152 -0.172785 0.503163 -0.0500258 0.244345 1.12169 1.26563 -0.11813 1.21801 0.467748 0.698265 0.148378 0.380199 0.405311 0.00740176 2.22519 0.779277 7.42022 6.29486 4.40521 0.211612 0.300269 0.0863895 1.08498 3.72098 1.12322 11.548 3.2728 0.303286 1.39002 1.09292 0.998757 0.173027 -0.120223 0.494896 25.4579 -0.191927 7.72026].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.281 -0.0070906 0.95964 0.19247 0.33767 0.13883 -0.93975 0.33943 0.18376 -0.26503 0.085909 0.17309 0.048075 -0.39514 -0.036415 0.53363 -0.29471 0.05439 0.22883 0.82788 0.20315 -0.1613 0.08246 0.025443 -0.18243 0.047769 0.31432 -0.45159 -0.096523 1.235 -0.10602 0.4264 0.35045 0.41837 -0.13226 -0.048365 0.10167 0.24559 2.5658 0.81461 1.5016 0.02445 0.032836 2.7734 0.45987 0.84313 0.11511 2.8532 2.6843 0.20738 0.44164 -0.14942 -0.075125 0.024302 -0.042483 0.47291 6.2047 0.0036712 2.6055].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.091928 -0.23357 -0.063033 -0.010875 -0.33529 0.10765 0.47055 -0.17429 0.51419 -0.27587 0.095137 0.031115 0.13278 0.20178 0.037665 1.3366 0.032355 -0.043666 -0.2169 -0.021242 0.39264 0.03864 -0.02752 -0.063543 0.096759 0.10618 0.084189 0.22416 0.51226 0.020209 -0.048568 0.2527 0.18741 0.046383 -0.32372 0.039785 -0.085319 0.32418 2.4497 0.77703 0.12754 0.30492 -0.064278 0.46723 -0.018495 0.17487 0.61534 1.0045 0.76444 -0.16703 -0.36721 -0.38358 -0.026802 0.28353 -0.03334 -0.48672 0.10626 0.019202 0.0019228].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.051511 0.37111 -0.50162 -0.15611 0.098053 -0.038537 -0.24486 -0.15451 -0.095802 0.47137 -0.077355 -0.033462 -0.75362 -0.034098 -0.19933 -0.29071 0.010052 0.021945 0.33559 -0.12953 0.016622 -0.22643 0.038579 -0.38778 -0.0015769 -0.025717 0.0023775 -0.046575 0.0037716 -0.01176 -0.092281 -0.042768 -0.021925 0.032785 0.18077 -0.086503 -0.031377 0.13789 -0.078676 -0.037289 0.03392 -0.029582 0.076783 0.19245 0.020278 -3.2821e-05 0.035907 0.2465 0.31031 0.33895 0.011809 -0.91169 -0.086636 -0.10545 0.010711 0.17383 -0.027833 -0.041946 -0.41605].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0033378 -0.032106 0.39273 0.1613 -0.078546 0.088432 -0.43066 0.054247 0.24658 -0.11759 0.055992 0.062536 -0.018115 -0.19174 -0.0074453 0.34604 0.013385 0.036622 0.0019492 0.093023 0.032447 0.20576 -0.024952 0.39574 -0.0019275 0.073452 -0.0017509 0.26166 0.094369 0.018763 0.16756 -0.13322 -0.051243 -0.05901 0.14467 0.07482 0.11668 0.021696 0.18786 -0.26039 -0.016951 0.059943 -0.029595 -0.0028342 0.117 0.018495 -0.14009 -0.043114 -0.27306 -0.04767 0.0059393 -0.28173 0.080069 0.083485 -0.00058635 0.20054 0.010962 0.088131 0.32266].
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 [10.081442 28.230643 97.730365 72.328943 39.221169 17.574615 26.018456 120.21335 42.144268 44.122229 48.526654 32.793851 44.320214 45.546366 39.247231 455.81731 70.148629 14.20951 57.101128 51.278171 201.96936 21.767449 24.183617 7.8874053 3.5475805 19.865295 5.3317925 37.66201 18.91794 50.221158 33.123026 13.296957 11.341795 8.1067524 27.030043 17.243694 21.765951 21.035043 132.81087 156.46394 1228.0147 200.60289 57.872593 37.380805 6.7146924 358.18503 45.443542 119.92407 63.796715 13.443029 49.856668 36.86749 33.496711 16.280087 39.90594 42.38369 826.61641 30.112596 376.26982].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.777832 5.12874 6.24571 9.66327 3.15487 0.660923 3.7196 5.03484 4.8419 1.45079 -1.47441 5.85317 4.62848 2.31037 1.86973 34.08 1.98421 -0.0529533 5.35353 6.26624 28.1517 3.09074 1.60021 0.101337 0.52861 0.562067 -1.14544 2.20675 3.20341 2.70852 8.32826 0.594511 0.56041 -0.661586 4.21204 1.38418 0.650478 -0.0933935 15.4905 18.2882 95.608 12.3789 6.87561 2.2436 1.37895 32.5678 5.93867 15.4009 3.19463 0.295738 6.26683 5.5205 13.0533 2.86457 4.56236 2.42391 34.589 2.75947 26.332].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.250945 -0.43574 7.40121 13.5449 1.57473 0.125756 1.56617 6.14626 2.24107 1.71638 0.396531 3.30029 3.08183 7.91877 3.65196 8.85306 2.82074 0.093702 -1.66188 8.0342 9.7278 0.753405 1.74274 0.938119 1.08753 0.0556779 -0.262826 1.06148 0.544412 8.44783 2.84232 0.543819 -1.19986 0.874593 4.99932 -0.37724 2.4676 0.285212 7.77917 3.62721 6.48828 15.1197 0.282962 0.592959 -1.23326 3.95282 1.52337 6.15477 1.96217 0.442785 3.94028 4.06609 7.11066 3.10215 -0.467569 1.90665 6.31511 -0.0415723 11.3621].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.60139 2.4205 9.3803 0.8812 1.1292 -0.18468 -1.8435 0.82102 -1.0566 3.2914 2.194 1.1115 2.4762 6.9456 1.3528 2.6673 0.70911 -0.00065842 -0.45579 2.7996 6.0682 0.90089 0.10397 0.34976 -0.06117 -0.1682 -0.075677 0.40629 -1.5664 2.4259 -0.087542 -1.4737 0.049218 0.82237 1.2225 0.47975 0.1637 -1.1737 3.4829 -0.29991 0.18684 7.7157 -0.098894 -0.43325 0.22805 2.2721 0.44166 2.4263 3.7821 -0.51097 0.97434 0.58418 2.9433 1.3289 1.0142 1.9981 3.9383 0.19418 0.88222].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.31033 -0.2386 0.17984 1.26 0.28191 0.17129 -0.055569 -0.27313 -1.1597 1.4308 1.0738 0.37327 0.055103 0.70273 0.79118 1.3181 -0.11962 -0.0023163 0.096692 -0.37012 0.077059 -0.22423 -0.46033 -0.010192 0.077624 0.19405 -0.089051 0.020423 -0.26686 0.50711 -0.3823 0.35827 0.031719 -0.063393 1.002 0.0099718 -0.012617 0.47897 4.4973 0.53269 0.014546 5.2333 0.05357 -0.083362 -0.013216 -0.028133 -0.87214 1.265 -0.095256 0.29532 1.2121 0.33278 -0.12359 0.081854 -0.13118 0.52088 2.0412 -0.0032524 0.25623].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.51576 -0.39102 0.54921 1.7582 -0.056137 -0.059823 0.028121 -0.10135 0.083076 -0.016822 0.8494 1.0057 0.041157 0.47513 1.7462 -0.1251 -0.24244 -0.042347 0.49101 0.044037 0.23044 -0.16667 0.36901 0.026481 0.016471 -0.19704 -0.056331 0.049785 -0.062663 0.49084 0.3032 -0.20207 -0.04182 -0.046295 -0.15767 -0.0038387 -0.075507 0.13762 3.1393 4.0834 -0.19251 0.58135 -0.3188 0.0421 -0.042545 -0.24408 0.050133 0.98739 0.04183 0.021475 -0.81297 -0.057667 0.47104 -0.032658 0.12139 -0.0098871 0.18712 -0.0069079 0.10289].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.16816 0.52239 2.4414 -1.2372 0.21845 -0.26694 -0.11845 0.50687 -0.13469 -0.076915 -0.083909 -0.030429 0.019687 1.2794 0.23561 0.056109 -0.50117 0.037189 -0.70495 -1.9924 0.11217 0.10522 -0.40792 -0.06584 -0.0010821 -0.20937 0.1998 0.011785 -0.032596 -0.029624 -0.096755 0.16336 0.031802 0.16063 -1.4662 0.0046982 0.037378 -0.32631 0.31242 -1.6207 0.053931 0.2367 0.45513 0.36497 0.046841 -1.1564 -0.10469 -0.19936 0.094612 0.03835 0.28086 -0.083184 -0.048872 -0.08256 -0.010072 -0.28528 -0.02414 0.0056786 -0.49584].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.118075 1.42377 11.0032 0.426668 -0.205915 0.225453 0.126334 0.043714 0.182003 0.0639675 0.0685742 0.04229 -0.100505 0.490445 0.27074 -0.400275 1.01565 0.00800851 -0.21069 0.450924 -0.00960761 -0.184185 0.44174 0.0661567 -0.00807996 0.430017 0.0662174 -0.160192 -0.111404 -0.0374772 -0.234598 -0.0258512 -0.00472337 -0.0360059 -0.105309 -0.00112632 -0.0432024 0.347723 0.0661756 -3.04976 0.0945336 0.22145 0.0322556 -0.0901692 0.00750833 0.0344828 0.0466357 -0.696425 -0.0299064 -0.0485776 -0.100266 0.0147273 0.0485835 0.0043535 0.114106 0.181589 -0.819032 -0.00421524 0.597361].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.057626 0.42305 0.13667 -0.009148 0.10457 -0.068244 -0.013681 0.68165 -0.066632 0.13958 0.020835 -0.11198 -0.053973 0.34815 0.06373 0.11532 0.92965 -0.002723 -0.0245 0.23196 -0.14885 0.21594 -0.2496 -0.0031498 0.0051882 -0.016052 -0.34046 0.17842 0.28271 -0.17982 -0.17752 -0.2112 -0.024458 0.017254 -0.01766 -0.02684 0.094025 -0.080036 0.045492 0.18177 0.050854 -0.20589 -0.39198 -0.40358 0.0010908 -0.44848 0.03524 0.64011 0.028904 -0.0028415 -0.29764 0.11156 -0.068083 -0.011607 -0.42955 0.059481 0.24862 -0.0012627 0.4116].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.047979 0.011981 -1.6685 -0.0009403 -0.042372 -0.08648 0.073494 0.12957 -0.23796 0.018593 -0.037044 0.10781 0.15183 -0.40745 -0.087738 0.037021 -0.040579 -0.030452 0.18969 -0.59567 -0.39147 -0.10639 0.064005 -0.075611 0.003981 -0.11127 0.32194 -0.021058 0.0095812 0.18376 0.44531 0.25424 0.018917 0.0083301 0.17861 0.020759 -0.031243 -0.076157 0.033792 0.068065 -0.045963 0.37481 0.46064 0.44975 -0.0023289 0.46336 0.05505 1.6234 -0.091835 -0.043103 -0.13219 -0.030169 -0.0037952 0.10201 0.38991 -0.018011 -0.47381 -0.15952 -0.02527].
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 [1.60849 1.042 12.1205 1.38313 -0.0156001 1.61821 0.627748 1.21183 0.137562 0.593511 0.435635 0.195584 3.89586 1.26519 -0.559761 0.729784 0.915191 0.27332 -1.06636 -1.44569 5.33062 1.59204 0.579151 -0.611833 0.887884 -0.425906 -0.218867 0.474395 0.309016 1.16419 -0.62577 3.68823 0.105324 1.55619 2.23572 0.604243 -1.75841 -0.35952 2.17855 1.24675 35.3352 5.22369 0.689578 0.846875 -0.334821 4.1354 3.27719 0.531739 -0.0937543 0.255258 1.36184 0.572299 3.04297 0.385868 0.391664 0.0880806 10.6023 2.02091 -0.242494].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0463528 -0.47304 12.4276 -0.0620494 -1.03749 0.0814575 0.473828 1.02092 0.832736 -0.14112 0.0975299 -0.154384 -0.906289 0.265698 0.257397 1.88196 -0.0610446 0.0259653 0.631599 0.167682 0.883404 -0.207029 -0.47062 -1.10203 1.77352 0.111 -0.208731 0.798826 0.0565823 -0.00957783 -0.126502 0.789596 0.0970892 -0.3482 -0.0198813 -0.639388 -0.321922 1.06051 0.000619729 0.728366 0.0469915 1.83589 0.202101 0.485719 0.30846 0.469036 0.121022 -0.118418 -0.293749 -0.928391 0.981205 0.521232 -0.0344556 -0.103893 -0.743697 -0.498193 2.07014 -1.02706 -0.246463].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0543583 0.0859727 10.1453 0.0269617 0.171107 -0.232146 0.0463029 -0.434204 0.096208 -1.32574 -0.138008 -0.648887 0.280953 0.0147957 0.159176 0.112376 0.835735 0.0464879 0.660542 -0.142839 1.74937 0.171538 -0.285795 -0.0923745 -0.681067 0.17159 -0.14963 -0.0675912 0.526372 1.06564 -0.0509519 -0.120795 0.174832 0.479463 0.048655 0.00341582 1.95762 0.605695 -0.256113 0.927032 1.06068 0.650679 1.70417 -0.208873 -0.188937 0.255418 1.00952 0.0140853 -0.742468 -0.0244165 0.110626 0.4722 -0.164918 0.118312 0.140654 -0.223388 3.03678 -0.173965 -0.10325].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.011821 -0.25475 3.8218 0.042585 0.26181 -0.12575 -0.040612 -0.050916 0.21273 0.0049547 0.050287 0.21108 -0.012957 0.066816 0.89187 0.39457 0.31447 -0.004626 -0.041257 -0.15004 0.077867 0.11152 0.47142 0.49493 -0.20526 -0.067365 0.77795 -0.10985 -1.2176 0.071203 -0.34934 -0.14905 -0.29067 0.333 -0.19055 -0.89372 0.115 -0.059473 -0.33098 -0.67529 2.7274 -0.48936 -0.22401 -0.053489 -0.043954 -0.091409 0.25893 0.71879 -0.36594 0.43592 0.016926 -1.3413 -0.13641 -0.14574 -0.060682 -0.031584 -0.026445 0.040885 -0.065494].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.023044 -0.47582 1.9799 0.21233 -0.053377 -0.28242 0.053117 -1.0838 -0.10195 -0.02103 -0.11542 -0.83083 -0.057197 0.043437 -0.79589 0.023894 0.23867 -0.032488 0.00042418 0.17194 -0.45155 0.094104 0.26254 0.46794 0.70636 0.023586 0.035992 0.11543 -0.030758 0.094892 0.35121 -0.26264 0.12657 0.016916 0.18442 0.0212 -0.0051339 0.064569 0.76307 1.1681 0.036284 0.42765 -0.051374 -0.16759 0.01191 -0.66526 -0.029231 -0.34285 0.35934 0.016878 0.00083439 0.055981 -0.2373 0.041708 -1.0941 0.015406 -0.084951 -0.0036095 -0.091307].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.030653 -0.11551 1.023 0.0021365 0.050379 0.28593 -0.032915 -0.1046 0.11064 -0.067499 0.015523 -0.0035663 -0.061738 -0.31799 -0.22614 0.052481 0.20527 0.03557 -0.017272 -0.11504 0.44527 -0.29619 -1.3456 -0.48652 0.13372 0.085153 -0.049079 -0.19381 -0.49105 -0.05241 -0.010407 0.32961 0.0040761 -0.047667 -0.27926 0.29576 -0.020331 0.049501 0.28929 0.55404 0.015039 0.036307 0.0099787 0.21342 0.018804 0.38964 0.039745 0.27834 -0.026663 0.18283 -0.07625 0.33546 0.063122 0.093782 0.19146 -0.056864 -0.11806 -0.051313 0.099259].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.011832 0.9703 6.6837 -0.43997 0.0028356 0.052308 0.02403 0.02712 -1.3161 0.078412 -0.080555 -0.020446 0.049831 0.30568 -0.068732 -0.20614 -0.09074 -0.020833 0.062848 -0.071931 -0.044215 0.20183 0.0079965 0.50816 -0.012258 0.0024987 0.057308 0.19166 0.46666 0.021289 -0.03 0.02308 -0.049181 0.10084 -0.060467 -0.22636 0.10862 -0.018197 0.14526 -0.43261 -0.30314 -0.22228 -0.29497 -0.0081772 -0.049736 0.33553 -0.072614 -0.026476 -0.35699 -0.33956 -0.051976 -0.025551 0.17066 -0.26504 -0.19041 0.069239 0.21512 -0.0026104 0.0094423].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.025816 0.2701 1.0467 0.34863 -0.025297 0.060419 -0.14987 -0.16619 -0.58692 -0.44418 0.092122 -0.36075 0.015947 0.0056717 0.27558 0.18293 -0.34911 0.013768 -0.14323 0.13142 -0.06575 -0.11441 -0.015903 0.5328 -0.0080797 -0.059486 -0.0039102 0.0040537 -0.39909 0.016787 -0.13686 -0.3132 0.099108 -0.12279 0.2922 -0.2806 -0.090551 0.0027407 -0.064454 -0.18048 -0.7561 0.12883 0.36737 -0.028321 -0.07411 -0.054193 0.070097 0.10636 0.10539 0.062272 -0.25422 -0.83061 0.13922 -0.078539 -0.0043176 -0.044854 -0.089385 0.055138 -0.19586].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.06501 -0.16955 -1.4217 -0.0019306 -0.29907 -0.57813 0.083411 0.068011 -0.12496 0.36357 0.0064495 0.36298 0.043321 -0.042237 -0.15738 0.035358 -0.13511 -0.0091754 0.10369 -0.31274 0.062722 -0.19898 0.0021639 -0.035881 0.006114 -0.12795 -0.003501 0.012852 0.15707 0.012527 -0.06033 0.25337 -0.13676 0.15959 0.15186 0.091077 -0.0063275 -0.0061903 -0.068007 0.46823 2.6831 0.096355 0.038384 -0.028978 0.080811 0.15732 0.00037276 -0.043755 0.22271 -0.73909 0.27245 0.049743 -0.24182 0.44591 0.17195 -0.0090197 0.090009 -0.099735 0.21776].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.072757 0.69078 -0.47489 -0.03208 0.30872 -0.037736 0.070221 0.26066 0.085337 0.053972 -0.25277 -0.11777 0.0035804 0.041278 0.18497 -1.2465 0.8415 -0.038439 -0.015007 0.30429 -0.13942 0.22066 0.016606 0.085747 -0.050914 0.16483 -0.093711 -0.11047 -1.1504 -0.075092 0.15745 0.029038 0.15624 -0.25458 -0.099006 0.27101 0.070421 0.013065 0.12075 0.23456 -0.22959 -0.63924 -0.3632 0.068443 -0.0037235 -0.060697 -0.22009 -0.91382 -0.040606 -0.13764 -0.28567 -0.0012562 0.30976 -0.11251 -0.12847 -0.00391 -0.061073 0.10313 -0.53436].
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 [0.42341 0.1077 -0.59726 0.020011 0.14956 -0.41255 0.23702 0.074995 0.11676 -0.96699 0.0014927 1.0537 0.5107 -0.07945 0.25551 4.1734 0.47434 -0.042941 -0.42872 -0.29969 -0.078231 -0.32033 0.019409 0.24484 0.21871 0.12593 0.0045463 -0.12531 0.30903 -0.39196 -0.0033837 0.06807 -0.01978 0.059727 0.34517 -0.060902 0.013358 0.29801 1.094 0.93335 5.5997 -0.025619 -0.032269 0.021378 0.089838 4.0648 -0.32009 -2.1454 -0.23019 0.067494 0.0035146 0.15315 -0.021734 -1.5303 -0.43351 0.57335 5.8412 -0.17668 2.4266].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.075958 -0.035745 0.0019119 0.1158 0.17233 0.013628 -0.072493 0.017728 0.23529 -0.25612 0.023679 0.18406 0.015123 0.37792 0.07478 0.57992 -0.038005 0.08952 0.027271 0.070282 0.33393 -0.13245 0.037434 0.054552 1.285 -0.01102 -0.15423 0.066995 -0.018773 -0.13383 -0.20077 0.45899 0.27328 -0.028892 -0.00056666 -0.73902 -0.073329 0.26195 1.6241 0.038863 0.93117 -0.19302 -0.11888 -0.17572 -0.029507 -0.0043141 -0.0085768 0.24353 -0.054775 -0.37137 -0.13488 -0.097863 0.11869 0.33449 0.93622 -0.020416 -0.66963 -0.18442 1.1097].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.25344 0.014471 -0.065544 -0.52645 -0.094268 0.026061 -0.12126 0.057796 0.098106 -0.11247 -0.12953 0.015574 0.058622 0.064183 0.25304 -0.37077 -1.5689 0.0028019 0.23081 0.44313 0.15004 0.047793 0.032985 -0.22298 -0.11473 -0.11122 0.20603 0.083991 0.35076 -0.038658 0.42874 -0.10472 -0.22881 -0.01819 -0.15346 -0.16276 -0.049392 1.3405 0.35916 0.26012 0.85445 1.194 0.081544 0.10208 -0.019752 0.054459 0.079209 -0.059726 -0.22483 -0.52675 0.16772 0.062084 -0.061319 -0.018346 0.07234 0.05558 -0.22009 0.02746 -0.51163].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.34498 0.18131 0.21045 -0.28007 0.20473 -0.34106 -0.17997 -0.10931 -0.036409 0.37716 0.028999 0.2796 0.024303 -0.15909 -0.15086 0.033676 0.16805 -0.047539 -0.03954 -0.031684 -0.27258 0.11827 -0.59125 0.36324 -0.075858 -0.26317 -0.012124 0.21984 0.24055 -0.23726 0.089305 -0.035663 -0.023143 -0.23467 0.36274 -0.17728 -0.0037657 0.045089 0.29322 -0.95661 0.58187 0.52636 0.042874 -0.086282 0.07551 -0.12059 -0.65632 0.065494 -0.080309 -0.13406 0.14583 0.11189 -0.78889 0.062799 -0.25014 -0.46593 1.2679 -0.014444 0.23699].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.32764 -0.17207 0.099526 0.10121 -0.46179 0.23613 0.092382 -0.19977 -0.36742 -0.44964 0.066766 -0.71336 0.36894 -0.45844 0.16314 -0.007406 -0.11657 0.055268 -0.47878 0.039608 -0.1633 -0.017789 0.037073 -0.0098283 0.09264 0.19862 -0.013354 -0.23433 0.098308 0.081726 -0.78514 0.075563 0.011499 0.19466 -0.58673 0.39361 -0.15539 -0.0059535 0.24746 0.78887 0.40561 -0.23339 0.3965 0.089539 0.01567 0.10401 -0.010238 0.44876 -0.35539 -0.03848 0.072215 -0.25269 0.276 -0.09805 -0.10728 -0.089478 1.264 -0.4916 0.29774].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.068604 -0.029451 0.043023 0.16693 0.45753 -0.040485 -0.31115 -0.11571 0.61886 0.068966 -0.14335 0.13715 -0.97916 0.71345 -0.094745 -0.40091 0.0038051 -0.058763 -0.17679 0.0047615 0.35845 0.0007757 -0.034993 -0.83206 0.024352 -0.01594 0.023005 0.27194 0.29569 -0.2278 1.4712 0.0567 0.011424 -0.26002 -0.22796 -0.18408 0.16373 -0.29669 -0.044605 -0.73729 -0.49608 0.066618 -0.049603 -0.020063 0.046888 0.18283 0.34851 0.01856 0.35105 -0.26144 0.021875 -0.1235 -0.046815 0.27032 0.38913 0.70212 -0.25147 0.55109 -0.35292].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.040229 -0.10883 -0.20789 0.021072 -0.0082899 0.011621 0.31397 0.60256 0.61022 -1.1628 -0.053387 -0.1108 -0.023791 -0.37496 0.095074 0.45331 -0.77968 0.077729 0.22364 -0.097928 -0.019664 0.0041724 -0.080379 -0.20169 -0.084367 0.17089 -0.0080787 -0.047276 -0.41756 0.22455 -0.26845 -0.10504 -0.061747 -0.032392 -0.041126 0.21404 -0.35931 0.37277 -0.18327 0.38209 0.21523 0.15843 0.2261 -0.10138 -0.04228 0.017815 -0.71323 -0.31182 0.27589 0.6102 -0.29648 -0.19333 0.050926 0.04857 0.11505 0.037034 0.65893 0.69089 -0.24953].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.18486 -0.061538 0.18116 -0.044321 0.050316 0.042868 -0.054148 -0.23644 0.02115 -0.5022 0.057543 -0.031279 0.027141 0.16526 -0.042674 0.012402 0.40775 -0.0038466 0.30369 0.083154 0.089373 -0.0056001 0.036348 0.65015 -0.17427 -0.082804 -0.20236 0.019748 0.15051 0.030612 0.47563 0.074387 -0.020344 0.075294 0.053941 -0.10078 0.33531 0.072534 -0.25216 -0.23667 0.14744 -0.048812 -0.084051 0.013656 0.033144 -0.054916 -0.65412 0.34172 0.17596 -0.23124 0.28898 0.2711 -0.54314 0.035992 -0.34312 0.21043 0.11887 -0.067795 1.0693].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.23678 -0.13244 0.054486 -0.76197 -0.046861 -0.0067591 -0.30215 0.17077 -0.0014682 -0.21349 0.069265 0.25544 -0.25485 -0.064043 0.036446 0.012012 0.055456 -0.004144 0.11621 0.0086658 -0.44249 -0.0050351 0.099756 0.11678 0.1063 0.019634 0.12326 0.026073 -0.066361 -0.040253 -0.21733 -0.10156 0.078872 0.35334 0.01129 -0.18712 0.019356 -0.13128 0.15918 0.37597 -0.75567 -0.010981 -0.28031 0.11056 -0.21016 0.046924 0.86674 -0.15798 -0.0068229 -0.31218 -0.028932 -0.031083 -0.8124 0.013585 0.15613 -0.24373 -0.086745 -0.006055 -0.41976].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.02707 0.61672 -0.044288 1.3865 0.092619 0.030113 0.34087 -0.51771 -0.00074166 0.27045 0.0075796 -0.026241 0.21798 0.27896 -0.012698 -0.93753 -0.28938 -0.020548 -0.23815 -0.094851 0.43481 0.0049014 -0.043037 -0.27081 0.1437 -0.11976 0.092257 -0.28783 -0.24275 -0.028134 0.12098 0.1629 -0.0055577 -0.12461 -0.00066448 -0.18861 -0.075481 -0.0096842 0.011187 0.25461 -0.79145 -0.080386 0.13181 -0.16792 0.11946 -0.0075715 -0.14272 -0.16421 -0.093732 0.37303 -0.11707 0.29552 -0.037642 -0.14401 0.095632 0.22023 -0.46908 0.0081302 0.044091].
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 [-0.0097246 -0.52372 1.2619 -0.47347 0.16565 0.088915 -0.36067 0.48319 0.34519 -0.072965 0.061099 -0.71298 -0.42641 0.31098 -0.03611 0.59459 0.14201 -0.030823 -0.14345 -0.085856 1.222 -0.11236 -0.1209 0.071949 -0.049669 -0.25922 0.13718 -0.094086 0.34521 0.28526 -0.062595 -0.6207 0.11557 -0.0064354 -0.0065442 0.74338 -0.36109 -0.087149 -0.17098 -0.069568 6.5399 1.3183 -0.31892 -0.013029 0.18192 1.0336 0.82964 1.1154 0.052259 0.2755 0.0050247 -0.04563 -0.072162 -0.067295 0.11397 0.36362 -1.0976 0.46237 -0.0071088].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.044976 0.31304 3.5457 1.3038 0.07467 -0.69878 0.045483 -0.43544 -0.10885 -0.046597 0.18101 0.14304 -0.060273 0.28895 -0.20641 0.91945 0.41591 0.027412 0.14914 -0.031655 -0.020376 0.0046382 0.063594 0.17936 0.14723 0.0010368 0.073952 -0.37905 0.075071 1.0725 -0.32211 -0.25153 -0.015791 0.026401 -0.04265 -0.056221 -0.58223 -0.11626 0.15136 2.2467 1.8949 0.33043 -0.03289 0.097155 -0.028633 -0.18575 0.06427 -0.17486 0.16457 -0.25372 -0.1002 0.46825 -0.30661 -0.062491 0.0028425 0.19284 -0.71545 0.064217 -0.037749].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.014822 -0.021698 2.0686 -0.70361 0.0038373 -0.044608 -0.4525 -0.0077723 -0.18008 0.080926 0.031221 0.42729 0.13693 -0.013222 0.031785 0.83611 0.51133 -0.015652 0.92455 0.55835 -0.35142 -0.033145 0.069191 -0.13846 0.095361 -0.078625 -0.28123 -0.013205 0.20956 -0.24189 -3.9895e-05 0.2015 -0.37489 0.0012047 0.41792 0.057959 -0.071317 -0.21809 -0.21925 -0.42205 -0.19578 -0.93805 -0.26232 -0.030943 0.4358 -0.015657 -0.0854 -0.23187 0.31421 0.011593 0.26911 0.034256 -0.38529 -0.029806 0.09748 -0.10966 0.71343 0.15499 0.70765].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.10986 -0.01528 -1.5489 -0.44231 -0.29214 0.01164 0.4006 -0.10288 -0.070569 0.29249 -0.020033 0.2222 0.0027274 0.054167 -0.75514 1.0066 0.29363 -0.0079419 -0.21123 -0.56214 -0.37751 0.018062 -0.44196 0.019433 -0.011766 -0.32972 -0.097486 0.26103 -0.10141 -0.35081 -0.020536 -0.35493 -0.11344 -0.033878 -0.087577 0.14653 -0.0055891 0.12405 0.58054 -0.17706 0.66353 -1.7065 0.29682 0.21857 -0.0074306 0.71367 -0.032391 -0.17095 -0.50483 0.63433 0.12583 0.10906 0.054578 0.012704 0.27135 0.046725 0.59428 -0.85536 0.0073195].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.065662 -0.30008 3.4629 0.78017 0.026473 0.044119 -0.78993 0.15036 -0.0074853 -0.42714 0.033349 -0.20365 -0.14027 -0.16673 0.010248 -2.5355 0.017539 0.031968 -0.02682 -0.16086 0.34147 -0.37141 -0.23393 0.17341 0.05468 0.28907 -0.12795 0.10702 0.16232 0.52035 0.0015933 -0.30786 0.0062764 -0.084786 0.25977 -0.16694 0.00091642 -0.24261 -0.11663 -0.079039 1.0732 0.24761 -0.39346 -0.23966 -0.038702 1.4306 0.01313 0.1421 0.78271 -0.048903 -0.072472 0.0049692 -0.054156 0.0087793 0.093343 0.19841 -0.2537 -0.68142 -0.23482].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.28905 0.32958 0.32843 0.33949 0.075629 -0.33736 -0.61092 -0.016137 0.044366 0.3226 -0.012629 0.26478 0.098459 0.16076 0.45468 0.92149 -0.50927 0.0038212 0.067474 0.56257 0.026254 -0.032838 0.42765 -0.3638 -0.042032 -0.041458 0.20035 -0.16272 -0.10939 0.046088 -0.21166 -0.28488 0.10261 0.12212 -0.43203 -0.23401 0.0064717 0.15393 -0.27516 -0.45401 0.733 -0.2635 0.07345 0.43513 0.02409 1.2021 -0.3461 0.028306 0.74502 -0.28458 -0.024847 -0.040888 -0.0073929 -0.0037701 -0.24535 0.043896 0.55186 0.10032 -0.14603].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.07028 0.091781 0.46228 0.029525 0.12865 0.34238 -0.017696 -0.19754 0.10645 -0.012577 0.053946 -0.13637 0.059655 -0.069152 -1.1674 -0.40144 0.028893 -0.066372 -0.050502 0.33103 -0.023328 0.49298 0.71927 0.17498 0.055801 -0.029628 -0.11331 0.094453 -0.24552 -0.13995 0.22422 0.72564 -0.028442 -0.024893 0.22174 0.27119 -0.12143 0.15452 -0.60704 -0.50215 0.1658 0.10896 -0.55526 -0.57293 -0.066902 -0.81554 0.33728 0.0034385 0.0071232 0.090155 0.10565 0.0083783 0.057094 -0.011026 -0.056457 -0.62963 -0.29803 0.033959 0.35625].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.036805 -0.16188 -0.045147 -0.0045358 -0.027997 0.018136 -0.020464 0.18554 -0.034318 0.061392 -0.36006 0.06406 -0.13636 0.07523 -0.71443 0.52456 -0.2086 0.065354 0.020239 -0.0026895 -0.011597 -0.2393 -0.030594 -0.53661 -0.062716 -0.28133 -0.39374 -0.26416 0.24105 0.55443 0.0061718 -0.12098 0.16538 -0.025035 0.37498 0.13084 0.014233 -0.27366 -1.1325 -0.27791 0.12183 0.11102 0.76328 -0.036726 0.080923 0.051815 -0.025898 0.018248 -0.28843 0.23681 -0.024009 0.01855 -0.02781 0.031645 0.18399 -0.0084891 0.46432 -0.020725 -0.017852].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.25632 0.067947 -0.047142 -0.51382 -0.091996 -0.10735 0.058957 -0.70051 -0.0066844 -1.7558 0.35353 -0.015491 0.13285 -0.17924 -0.022235 0.85898 0.083946 0.0016606 -0.0056973 -0.087586 0.01866 -0.014872 0.22682 0.030826 0.06604 0.41438 0.55645 -0.56789 0.11948 -0.10833 -0.20774 0.052731 -0.54837 0.051888 -0.59209 -0.14635 0.11158 0.20778 0.0097962 0.14619 -0.011034 -0.062631 -0.14474 0.17943 0.0056055 -0.010833 0.0067235 -0.073083 -0.27607 -0.15883 -0.0058815 -0.033025 -0.041048 -0.055265 -0.088246 -0.0071171 -0.084198 0.010067 -0.068971].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.36759 -0.90107 0.05536 0.22088 0.078661 0.075859 -0.039365 0.59666 0.054883 0.73951 -0.0044531 0.17068 -0.31788 0.17538 0.017243 0.76457 0.097796 -0.017599 0.055992 0.097528 -0.058 -0.027064 -0.018447 7.7569e-05 -0.0108 -0.12463 -0.018717 -0.13311 -0.36668 0.19029 0.17919 0.073923 0.3808 -0.013747 -0.41576 0.040329 -0.05928 0.023346 0.11825 -0.22168 0.0064139 0.042299 0.14582 -0.11288 -0.033931 0.29691 0.0042036 -0.10394 0.54732 -0.017436 0.013153 -0.002119 -0.19427 0.048902 0.23492 -0.087796 0.090269 0.028152 0.065286].
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 [-0.87402 -0.15717 0.019435 -0.0038394 -0.056327 -0.061719 -0.62352 0.049459 -0.043479 0.1943 -0.051229 0.40539 0.28229 -0.01172 0.37914 0.33636 0.14136 -0.034441 0.50091 0.017921 0.21147 -0.011607 0.12806 0.086803 -0.17674 -0.076364 -0.97206 -0.026962 -0.099614 -0.29789 -0.2616 0.032533 0.55957 0.15629 1.3166 0.072364 0.21924 0.25694 -0.23117 0.12574 1.5709 -0.21347 -0.28536 -0.043412 0.06464 0.0043057 -0.90972 0.067805 0.21842 0.027322 -0.061201 0.12571 0.080756 -0.022065 -0.2405 0.098843 0.55806 -0.12866 0.97373].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.43485 0.30299 4.6863 -0.28645 -0.2541 0.11011 -0.31368 0.28802 0.33386 -0.09885 0.0016844 0.019236 0.34798 -0.065014 -0.22137 1.7137 -0.17785 -0.037447 -0.13034 -0.055276 0.18739 -0.012819 -0.042106 0.22264 0.13868 -0.09622 -0.037532 -0.057834 0.31201 0.18797 0.12547 0.062112 -0.078591 -0.031646 0.020585 0.022251 0.11359 -0.29771 0.205 -0.28024 0.52716 -0.093982 -0.70145 0.044786 -0.051582 0.076689 0.74592 -0.22509 -0.13766 -0.039756 0.0091476 0.094188 -0.7096 -0.056522 0.1268 0.22194 -0.16109 -0.989 0.2264].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.80897 -0.1982 0.58128 -0.70911 -0.13868 -0.79026 0.17414 -0.19301 -0.20654 -0.24308 -0.045521 -0.41678 -0.056377 -0.28589 -0.12807 -0.21603 0.045095 -0.003629 -0.19066 -0.0092043 -1.3706 0.049172 0.050651 -0.41475 0.072001 -0.0045596 0.024672 0.050896 -0.93662 0.45304 0.12229 -0.1244 -0.11018 -0.016108 0.24594 0.17694 -0.21018 -0.099247 0.116 -0.69822 0.13094 0.11798 -0.094099 0.22588 -0.027413 -0.22046 -0.029359 0.10001 0.39387 -0.35971 0.41867 0.023186 -0.27078 0.055607 -0.40374 -0.48306 0.084551 0.12747 -0.033701].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.051044 -0.12679 0.39296 0.011108 0.12407 0.042218 0.42427 0.015268 0.010161 -0.11627 -0.11848 0.049231 -0.20332 -0.20275 -0.045553 0.14153 0.1259 0.020898 0.56925 0.054872 -0.28009 0.015294 -0.44955 0.02037 -0.2444 0.044473 -0.7492 -0.017527 0.32044 -0.14623 -0.051006 0.27731 -0.050649 0.035079 -0.0079465 0.2921 0.1333 -0.12366 -0.25394 0.12387 1.8699 0.18147 0.28907 -0.19349 0.26128 0.93948 -0.03504 0.11575 0.21498 0.0079033 0.26649 0.071885 0.70046 -0.02981 0.1779 -0.04826 0.69176 0.19471 0.038951].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.016192 -0.1781 -0.031484 -0.0098464 -0.005365 -0.00012307 0.052073 -0.17675 -0.014281 0.24441 -0.042782 0.056057 -0.20249 0.075314 0.086778 -0.24809 0.14743 -0.0077742 -0.097735 -0.14345 0.23134 0.010134 0.41738 -0.019253 -0.27161 -0.01616 0.005697 -0.024455 -0.18594 0.090362 -0.10395 -0.19747 0.0076307 -0.012061 0.049158 -0.10883 0.033956 0.39272 0.0876 -0.89707 1.6488 0.052357 -0.17875 0.36332 -0.22339 0.75048 0.13348 -0.088209 -0.16238 -0.0068796 -0.48563 -0.0093441 -0.32614 -0.11254 -0.20301 0.079009 -0.11638 -0.010458 -0.00056552].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.019472 0.21619 -0.039144 -0.38402 -0.096257 -0.092933 -0.051684 -0.061283 -0.18832 -0.019629 -0.3427 -0.14773 0.41291 0.1373 0.019213 0.24592 0.17503 -0.038014 -0.22683 -0.11676 -0.18968 -0.010591 -0.24561 -0.036074 0.23383 0.027242 -0.33161 0.026203 -0.13468 0.086565 -0.091901 -0.29732 -0.62315 -0.069285 -0.010064 -0.3937 -0.24549 -0.012365 0.089585 -0.13941 0.04979 -0.094492 -0.00097217 -0.69356 -0.541 0.46537 -0.36472 0.073045 0.055867 -0.21112 0.15453 -0.27843 0.15373 0.50195 0.33658 0.020695 -0.56142 -0.31066 -0.037637].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0070514 0.18541 0.080025 0.39422 0.037097 -0.048984 0.052951 0.014393 0.17385 0.013635 0.28379 0.13827 -0.077509 -0.020095 -0.00016922 -0.006296 0.030727 0.010483 0.19122 0.25962 0.12675 0.013614 0.30332 0.050207 -0.051158 -0.076976 0.32528 -0.07405 0.30065 0.0055697 0.11112 0.2846 -0.11925 0.074611 -0.1106 0.6094 0.05397 -0.2374 0.01348 -0.45023 -0.025763 0.083621 -0.023459 0.16675 -0.081351 -0.13721 0.2551 -0.05587 0.043597 -0.31834 0.25053 0.26284 0.23001 -0.082599 0.0082164 0.0071834 -0.03605 0.25159 0.037547].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.039976 -0.10031 -0.93362 -0.065519 -0.083711 0.13727 -0.12364 -0.088215 0.030424 -0.0045477 0.08033 0.013036 0.074231 -0.17319 0.0011117 0.011714 -0.51987 0.066833 -0.51165 -0.071284 0.098451 -0.055661 0.060936 -0.014024 -0.37352 0.037513 -0.043564 0.073309 0.053072 0.022421 0.08453 0.19255 0.067298 -0.097807 0.08943 -0.046922 0.0020557 -0.25345 -0.044955 0.46343 0.19627 -0.28275 0.10989 -0.11712 -0.025465 0.26442 -0.092873 0.033993 -0.34546 0.49548 0.050157 0.012914 -0.02039 0.099382 -0.40743 -0.095645 0.012136 -0.092159 0.01001].
# Iteration 9:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.03394 -0.76678 0.2232 0.053898 0.046865 -0.031425 0.077487 0.34697 -0.012738 -0.12713 0.10846 -0.0071663 -0.73728 0.20872 0.00094126 -0.46667 -0.015831 -0.035802 0.60203 -0.42665 -0.026823 -0.015234 -0.075304 -0.099883 0.39819 0.025488 0.055586 0.013915 -0.20513 -0.29638 -0.21797 -0.48419 -0.05946 0.063101 0.010894 0.1484 0.14865 0.50782 -0.18884 -0.69388 -0.082741 0.24694 0.060383 0.20311 0.092748 -0.0058832 -0.31794 0.029787 0.53613 -0.77776 -0.41545 -0.097735 0.04754 -0.0012526 0.40285 -0.13486 -0.025262 -0.010605 -0.39274].
# Iteration 10:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0098287 -0.14346 0.56095 0.020199 0.024515 0.030074 -0.11829 -0.13695 -0.090951 -0.12744 -0.32584 -0.022552 0.057862 -0.010069 -0.010142 0.45516 0.013243 -0.0020781 -0.35559 0.319 -0.19727 0.01244 0.16969 0.11853 -0.080652 -0.054026 -0.0021164 -0.079142 0.14241 0.168 0.10451 0.30715 0.051033 0.02097 -0.017581 -0.12979 -0.046353 0.43126 0.046236 0.018339 -0.053308 -0.13059 -0.14493 -0.50098 -0.2191 -0.38442 0.27055 0.013991 -0.17807 -0.83411 0.42392 0.12527 -0.1937 0.00064514 -0.19108 0.15172 -0.96282 -0.08031 0.36679].
# 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/R106_d18O_stack.
-------------------------------------------------------------------------------------------
Parallel pool using the 'Processes' profile is shutting down.
Time elapsed = 25830 s