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R27.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 [10.8308 9.2959 39.8783 5.3229 5.96519 8.03156 4.28343 4.57238 9.87385 14.3274 0.128621 4.48756 2.93362 3.87426 3.69121 6.3643 6.10742 7.59226 4.15556 28.8795 9.90114 8.32976 58.8321 16.9736 12.2474 20.9299 15.1135 15.3485 5.70095 12.9817 18.1069 24.2232 9.667 6.86292 6.41799 9.37497 11.2159 3.20065 13.1887 14.3102 1.97803 14.516 13.2026 7.40449 6.35116 21.8427 4.56648 35.6777 15.5562 11.2152 12.7 18.076 9.74784].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11963 0.92688 5.6115 0.11788 0.047442 -0.17676 0.0095097 -0.21688 0.15286 0.38663 -0.03119 1.2213 0.13354 0.78598 0.37739 2.4512 0.086344 0.047902 0.75262 0.30746 0.89633 0.76165 4.095 7.0151 0.082492 0.63672 0.96493 1.3105 0.47173 0.15908 0.0062081 2.9351 0.46342 -0.25371 0.090756 0.92676 0.37305 -0.042636 0.44197 0.17976 -0.18403 0.47384 2.2007 -0.41196 0.24754 1.6289 0.20374 1.8803 0.11448 -0.24969 0.84477 0.43537 1.578].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.43357 -0.03231 0.58138 -0.17283 0.21825 -0.015786 0.11499 0.16375 0.0033908 -0.0025692 0.026397 0.51515 0.050278 0.36248 0.3712 -0.18141 -0.037581 0.04574 0.033178 -0.0062209 -0.22812 -0.11617 1.1698 0.36427 0.35476 -0.047015 -0.058158 0.42678 -0.010402 0.017681 -0.0053813 -0.13352 0.098788 -0.004982 -0.037876 -0.23878 0.031978 0.17989 -0.091301 0.061849 -0.077793 0.17821 -0.060129 0.029901 0.026506 -0.058096 -0.095303 0.54413 0.10032 -0.50339 -0.5621 0.25518 -0.21195].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.30854 0.16793 -0.025748 -0.15586 -0.041056 -0.071294 -0.35632 -0.031173 -0.18243 -0.16495 0.033904 0.018901 -0.040021 0.19523 0.038984 -0.0015142 -0.078294 -0.1569 -0.13098 -0.19236 0.03567 0.081983 0.065631 -0.14731 0.046182 -0.15017 -0.018065 0.0572 0.020359 -0.32719 -0.0030094 0.45952 0.054449 -0.020922 -0.37632 0.024066 -0.085401 -0.80611 0.067406 0.043492 0.074432 -0.041311 0.0031827 -0.4624 0.062733 -0.83963 0.049753 0.052222 0.2228 -0.0097156 -0.11618 -0.0947 0.22601].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.044436 0.28988 0.026569 0.14694 0.045138 0.015846 0.35005 0.083122 0.31326 0.047829 0.026961 -0.017318 0.13671 -0.3202 -0.12312 0.026999 -0.14565 0.19776 -0.51618 -0.07133 -0.099938 -0.25802 -0.062743 -0.15149 0.097119 0.053988 0.0081905 0.0053229 0.00015555 0.14607 0.022119 0.060492 -0.039471 0.027458 0.24651 -0.037885 0.075034 0.68557 0.038979 -0.037942 -0.086634 -0.077712 -0.02145 0.16691 -0.0019548 0.12415 -0.024463 -0.052031 0.0091535 0.0059072 0.031335 0.096264 0.14822].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13933 -0.08657 -0.034537 0.031337 0.0081906 0.036913 -0.083006 -0.098497 -0.0039385 0.11092 -0.098125 -0.026042 -0.26775 0.41452 0.082015 -0.017847 0.012925 -0.046017 -0.021836 0.20331 -0.18701 -0.072412 0.057304 0.2932 -0.17078 0.017293 -0.012878 0.00076058 0.0060517 0.11437 0.0095581 0.1292 0.12446 -0.025337 0.46104 0.029282 0.0058485 0.011346 -0.0059938 -0.048727 -0.092627 0.024532 -0.064798 0.29392 -0.051999 -0.011413 0.04959 0.031865 -0.23343 -0.12656 -0.01623 -0.0012557 -0.14889].
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 [29.17685 23.39256 15.15306 12.04524 13.02433 5.294829 13.81916 8.902618 16.06021 20.73263 6.982368 7.932895 8.240423 9.528926 1.342141 20.06368 16.1385 11.09809 1.059696 17.4587 5.205463 17.4874 67.34332 44.10929 10.85517 196.6557 8.096961 5.01395 24.16472 20.62149 23.79852 11.51704 16.53913 14.29062 3.46583 2.128915 14.70724 4.37136 16.04994 15.44829 8.526746 12.69708 7.006873 11.16848 13.32913 57.90505 7.43693 8.452081 13.82906 15.64724 66.32302 24.43172 10.48218].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.6271 0.43791 1.5888 1.3345 0.55903 -0.043327 1.1991 0.33585 1.6923 0.15935 0.026954 -0.062188 -0.14153 0.030501 0.080119 1.632 0.49273 0.18531 0.18579 0.36751 0.12021 0.52298 0.33903 7.5514 0.34189 3.3384 0.11018 0.24063 0.20447 0.24011 -0.31512 0.065315 0.59998 0.30935 0.15285 0.12077 0.21532 -0.19469 0.48377 0.53766 0.25002 0.47866 0.68998 0.26341 0.11842 2.5287 0.050001 2.9565 0.54068 0.39706 0.49552 0.23108 0.4625].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.64008 -0.51281 0.38504 -0.031874 -0.21353 -0.40855 0.067174 0.071821 -0.05789 -0.057765 -0.010672 0.063711 0.030126 -0.39822 -0.0044249 0.17005 0.36703 2.023 -0.38139 0.075164 0.31033 0.032201 0.52257 0.064077 -0.043323 0.27798 0.16513 0.16622 0.075355 -0.037973 0.042304 0.030157 -0.030001 -0.012147 0.0088325 -0.1045 -0.065157 -0.14952 -0.085976 -0.24395 -0.18859 0.10668 0.0018129 0.079123 0.084538 -0.078763 0.22057 -0.1786 0.019803 -0.14513 -0.0094561 0.043353 -0.21689].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.051162 0.09542 0.19975 0.00061347 0.049925 0.0011792 -0.31135 -0.099938 0.050909 -0.058368 -0.85818 -0.39173 0.095212 -0.057033 -0.041171 0.18141 -0.012134 0.5245 0.12073 -0.0096874 -0.30812 0.0022636 0.24843 0.033416 0.15529 -0.0095713 -0.10275 -0.011402 0.010895 -0.019817 0.20911 0.0038591 0.050407 -0.31569 -0.065256 0.020149 0.061095 0.1716 0.094432 -0.31481 0.19082 0.11305 -0.024658 0.10488 -0.20462 -0.15122 0.19367 0.13674 0.25744 0.028036 -0.059595 -0.012081 -0.081684].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.16684 -0.15642 -0.055889 -0.20954 0.066344 -0.18909 0.32901 0.080161 -0.056024 0.054174 -0.13109 0.5094 0.0098522 -0.218 -0.028068 -0.29923 0.006797 0.23738 -0.087504 -0.058509 0.30711 0.012896 -0.03764 -0.14118 -0.27523 -0.10691 0.10343 0.047269 -0.037413 0.0095714 -0.44424 -0.0054888 0.016762 -0.09148 0.057429 -0.010611 -0.16165 0.038406 -0.23087 0.28154 -0.0031086 -0.3518 0.053376 -0.014732 0.16906 0.099687 -0.02122 0.004408 -0.022981 -0.050788 -0.085013 -0.20088 -0.067386].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.13714 0.12641 -0.01361 0.057685 -0.21489 0.28965 -0.36381 0.052677 0.057143 0.008573 -0.39387 0.021104 -0.0073682 0.19563 0.014301 0.3751 0.042355 0.071534 -0.088926 0.046244 -0.0027645 -0.016769 -0.016839 0.0603 0.37235 -0.23751 -0.030828 0.031932 0.076268 -0.021486 0.26608 -0.035273 -0.090528 0.42058 0.0039586 0.019824 -0.76715 -0.1148 0.25415 0.034389 0.0037748 0.45216 -0.0044919 -0.14915 -0.33104 -0.058485 -0.049763 -0.0002502 -0.38125 0.10677 0.12492 0.2085 0.13891].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.26154 0.028352 0.079587 0.050013 0.24685 -0.16029 0.093217 0.00024164 -0.013838 -0.13599 0.50229 -0.054033 -0.0035641 -0.0491 -0.054394 0.0014014 0.0158 -0.20179 0.008454 -0.18902 -0.16447 0.0080006 0.0035445 0.031615 0.055052 0.23484 -0.12872 -0.10924 -0.15709 0.022475 0.13133 -0.052803 -0.27088 0.14165 -0.0063605 -0.0034281 0.12566 0.03882 0.039995 -0.10352 -0.055278 -0.3803 -0.017098 0.14678 0.16748 -0.19449 0.050095 -0.004636 0.27308 0.0012574 -0.075571 -0.20317 -0.02033].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.020762 -0.0097109 -0.10124 0.09747 -0.0047609 0.034746 -0.091043 -0.11965 0.042128 0.1248 0.0030464 -0.027749 -0.035372 0.14009 -0.039442 -0.0078323 -0.036367 0.20351 -0.16715 0.1297 0.19519 -0.0090457 0.018003 -0.082 0.020075 0.040015 -0.12764 0.11168 0.16431 0.0013819 -0.21344 -0.093189 0.30766 -0.20566 -0.028206 -0.0087989 0.012568 -0.011904 -0.4406 -0.20543 0.0092228 0.35578 -0.021402 -0.058921 0.17019 0.029354 -0.026729 -0.062935 0.078646 -0.0021587 -0.056252 0.0079182 0.021253].
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 [0.056379 -0.043842 -0.01534 0.14526 -0.033056 -0.076373 -0.10789 0.10609 0.057714 -0.0099799 -0.21986 -0.0046612 0.0087249 0.067435 0.077001 0.15275 0.0069416 -0.048974 0.21251 -0.12767 0.005204 0.10095 -0.11676 3.1667 -0.038812 0.049253 0.065454 -0.11998 -0.17123 0.33274 -0.0078525 -0.13091 0.028865 -0.0054368 0.58823 -0.53677 0.13856 0.027683 -0.55691 0.02136 -0.156 0.20084 -0.060398 0.055434 -0.075043 0.095819 0.04906 0.056118 -0.12693 -0.10032 0.40268 0.0983 -0.026775].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.01038 0.29971 0.018961 0.057655 0.064983 0.22787 -0.020931 -0.034346 -0.049369 0.088548 -0.00010437 0.15483 0.023609 0.41076 0.057066 0.083118 0.13952 0.0040156 -0.027894 0.018929 0.069865 -0.14124 -0.042285 2.389 0.72845 0.40168 0.0278 0.020763 0.031935 -0.0032121 -0.062671 0.024405 -0.29534 -0.046077 0.21401 0.11076 -0.15122 -0.21285 0.053659 0.10071 0.39317 -0.055109 -0.051238 -0.029805 0.14989 0.23928 -0.051151 0.0042215 0.34784 0.014826 0.14057 0.012516 -0.1822].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.028571 0.17356 -0.2502 0.036971 0.083581 0.0068986 -0.019275 0.032344 -0.018388 -0.025549 -0.073515 -0.00010025 0.051718 -0.11741 0.07155 -0.0012413 -0.072797 0.17277 0.40452 0.044118 0.06925 0.077945 0.030823 -0.0179 -0.028759 0.14092 0.0055854 0.1534 0.013338 -3.8727e-05 0.088117 -0.063838 0.11807 0.064271 -0.044095 -0.0017202 -0.035025 0.07582 -0.028017 -0.028737 0.1363 -0.096511 -0.015288 -0.054224 -0.050428 -0.21387 0.26465 -0.6316 -0.038318 -0.041057 -0.019405 0.0042188 0.23519].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.049442 -0.015332 0.023834 -0.10092 0.10622 0.16096 -0.25638 -0.0021736 0.029039 0.03652 0.0019164 0.050523 0.17386 -0.01405 -0.0060619 0.054425 0.063617 0.0033134 0.0041687 0.019378 -0.039348 0.18458 0.093629 0.024312 -0.12854 0.040783 -0.01302 -0.00031606 -0.032135 -0.06458 -0.010137 0.051708 -0.2222 0.03914 0.097208 -0.0072107 0.00074975 -0.076797 -0.53627 0.21753 -0.055706 -0.20245 -0.1805 0.17577 -0.016546 -0.036666 0.22781 0.55819 -0.11949 -0.043219 0.56844 -0.12604 0.091298].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.10784 -0.068793 -0.10112 0.19187 0.13686 -0.044514 0.23994 0.035555 0.0053405 -0.01791 -0.023786 -0.024349 -0.28975 -0.040378 0.0036521 -0.050917 -0.0021679 0.012443 -0.0037746 -0.15431 -0.026701 -0.30123 -0.22102 -0.12555 0.15256 -0.79014 -0.057283 -0.028772 0.033005 0.059439 -0.63384 0.24315 -0.12087 0.065071 0.002709 -0.022672 -0.24025 -0.64261 -0.049802 -0.0084638 -0.1001 0.10174 0.22346 0.0034112 0.0046092 0.046822 -0.26703 0.072772 -0.10952 -0.0010752 0.036751 0.18928 -0.073196].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.087556 0.085471 0.09802 -0.10702 -0.00081151 0.1224 -0.081147 0.0021379 -0.048377 -0.084288 0.019053 0.018315 0.17088 0.049553 0.0076791 0.055692 -0.060911 0.00020784 -0.0016127 0.15329 -0.050826 0.24362 0.14286 0.10184 -0.015354 0.48391 0.0036792 -0.13202 0.016786 0.022012 0.16784 0.063566 0.30214 -0.24463 -0.013934 -0.027357 0.26007 -0.22887 0.024881 -0.26712 -0.30284 0.09581 -0.0062509 -0.064256 -0.05019 -0.13597 0.25029 0.028053 0.39449 0.047919 -0.022773 0.025343 0.079738].
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 [0.034937 -0.02697 -0.05594 -0.26176 -0.11455 0.032333 -0.11454 -0.0017621 -0.067434 0.40914 -0.27699 0.14929 0.023436 -0.00406 -0.27809 0.36504 -0.38182 0.076659 0.45353 0.47267 0.019023 0.1332 -0.0052092 3.9183 -0.012186 -0.3613 0.0054961 -0.10499 0.04162 0.27125 0.051408 -0.14593 -0.064875 0.17454 0.16464 -0.026142 -0.064392 0.088655 0.023447 -0.063696 0.032258 0.033982 0.38526 -0.33494 -0.016464 -0.091342 0.034702 -0.0073621 -0.47657 -0.20684 0.21847 -0.15143 0.044486].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.030852 0.0023569 0.2402 0.15412 -0.19483 -0.074692 -0.012773 -0.11419 0.087887 0.00672 -0.24745 0.21313 -0.11041 -0.47179 0.15598 0.011477 0.017494 -0.10734 -0.424 -0.1397 -0.025979 -0.02229 0.14457 2.8534 -0.075819 0.21577 0.0064354 -0.0077754 -0.22729 0.11044 -0.28841 -0.15089 -0.28881 -0.17557 -0.19292 0.27504 0.032831 0.046635 -0.0046582 -0.042475 -0.055031 0.26286 -0.0025007 0.055453 -0.0098054 -0.39923 -0.2798 0.013774 -0.27071 -0.026083 0.57509 0.06395 0.29726].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.010483 0.031664 0.012484 -0.067384 -0.16852 -0.076045 0.10431 0.043045 -0.25377 0.2251 0.12534 0.030097 0.09466 -0.044964 -0.011226 -0.017919 0.12637 0.18043 0.15763 0.063694 0.43478 0.097852 0.062746 0.74124 -0.0055879 0.0765 -0.0028105 -0.16709 0.17847 0.05318 -0.079287 -0.37152 0.0028775 0.010191 -0.089318 0.088821 0.049583 0.011074 0.21231 -0.052382 0.036902 0.066319 0.1683 -0.16253 -0.044113 0.007788 -0.007527 0.40359 0.3571 -0.20398 -0.47061 0.005826 -0.20327].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.19106 0.079854 0.12564 0.13262 0.067394 0.025425 -0.026521 0.18481 -0.2753 -0.044201 -0.0040983 0.085688 -0.034581 0.00061698 0.10545 -0.32286 0.013993 0.059703 0.013825 0.23166 0.2029 -0.0099481 0.018558 -0.14819 0.19013 -0.07508 0.0018311 -0.03995 0.16275 -0.61216 0.028979 -0.46137 -0.026939 -0.020058 0.20362 -0.013804 0.27894 -0.22463 0.0043615 -0.23805 -0.21502 0.33112 0.0099896 0.025515 -0.062995 0.077124 -0.29434 -0.014036 0.67073 -0.21066 -0.47923 0.15173 -0.32742].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12565 0.005714 -0.089566 0.047429 -0.036042 0.010757 -0.0081871 -0.17165 0.62689 0.05011 0.0023798 -0.058283 0.015468 -0.16476 0.057902 0.11354 -0.021307 -0.036675 -0.03281 -0.30678 -0.0041007 -0.038353 -0.0065973 -0.017827 -0.45811 0.15211 0.0021825 -0.049117 0.056798 -0.012721 0.011991 0.30676 -0.24059 -0.027776 -0.054438 0.022055 -0.30195 -0.3997 -0.015826 0.27585 0.44816 0.21198 0.0027447 -0.0099878 -0.46464 -0.14065 0.16521 -0.0026674 -0.0036461 -0.038962 0.50594 -0.69282 0.3115].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.036653 0.0015032 -0.086952 -0.2672 0.0056502 0.0084397 -0.36291 -0.10977 -0.24445 0.010042 -0.018131 -0.0054801 0.015834 0.10713 -0.0093977 0.12236 0.026444 0.013794 -0.03634 0.31896 -0.01634 0.055623 -0.018448 0.10953 0.47263 -0.089744 -0.0036058 -0.13628 -0.13826 0.040631 -0.063009 0.06962 0.13709 0.03264 0.062116 0.00029311 -0.11692 0.20151 0.099755 -0.37213 -0.041971 0.4665 -0.00017654 0.040328 0.30371 -0.74051 0.49034 -0.093648 0.089826 0.13944 0.28834 -0.13358 -0.30942].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.17456 0.021141 0.1601 0.26108 -0.15367 -0.019445 0.28085 0.17275 -0.099384 -0.049073 -0.00061148 0.060371 0.0073389 0.010362 -0.089011 -0.067817 -0.0013216 0.0085176 0.045227 -0.086031 0.055859 0.0034279 -0.088871 0.027247 -0.016171 0.084338 -0.0012574 0.17573 -0.073285 -0.028199 0.064543 0.055405 -0.080624 -0.015542 -0.00039462 -0.039863 0.28521 0.017786 0.19153 0.090426 -0.13936 -1.9908 -0.0057965 0.20981 -0.26177 1.2058 -0.32068 0.090251 -0.003547 -0.36757 0.19201 0.075077 0.29105].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.082498 -0.0074905 0.013944 -0.55756 -0.20608 0.018746 0.10047 0.047113 -0.13512 0.041955 0.019573 -0.0043737 -0.0015866 0.028042 0.025218 0.038073 -8.5883e-06 -0.098389 0.015862 0.33414 -0.061365 0.0060047 0.012772 0.014443 0.15176 -0.0064045 0.017845 0.015557 -0.1021 0.0026042 0.00018737 -0.47086 0.16013 -0.016885 -0.069611 0.034273 -0.10219 0.027169 -0.23779 0.37425 -0.23574 -0.217 -0.099457 0.014769 0.81707 -0.071127 0.12976 -0.005718 -0.017508 0.13827 -0.067841 0.012159 -0.24518].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.22898 -0.11978 -0.13308 0.45545 0.57123 -0.0046671 0.0092376 0.050435 0.083797 -0.013483 -0.071291 -0.092951 0.0085723 -0.060341 0.045956 -0.11338 0.0041449 0.11726 -0.011765 -0.39333 0.037533 -0.0058693 -0.40997 -0.041095 -0.19074 0.017601 -0.022335 -0.23199 0.17784 -0.18952 -0.19386 0.32949 -0.029134 0.022133 0.071677 0.0041604 0.0085107 0.31891 -0.11062 -0.30581 0.17132 0.14293 0.098865 -0.062881 -0.11996 0.012156 0.011539 0.0088713 -0.18764 -0.04959 -0.0024329 -0.23866 -0.12214].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.34193 0.12629 -0.012414 -0.072897 0.032074 -0.010304 -0.074866 -0.070054 0.31312 0.016564 0.075706 0.065915 -0.0016301 0.058367 0.0092627 0.26629 -0.016246 -0.033141 0.00034065 -0.74137 -0.26799 -0.010739 0.46523 -0.10046 0.26237 -0.0045305 0.018758 0.16237 -0.11569 0.18888 0.17706 0.18385 -0.043235 -0.022089 -0.046995 -0.008259 0.179 -0.76165 0.43542 0.27653 0.19309 0.043596 -0.012559 -0.028868 -0.42858 -0.066544 -0.37342 -0.035935 -0.017655 0.17791 -0.21807 0.26552 0.36959].
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 [0.082309 -0.041497 -0.031911 0.34586 -0.34756 0.011744 0.10226 -0.039424 0.12517 -0.24791 -0.053786 -0.14692 -0.085011 -0.076952 0.26587 0.4094 0.35574 0.75995 -0.086478 0.071975 -0.48326 -0.0056651 -0.030768 2.8429 -0.20513 0.23431 0.029116 0.056175 -0.037922 0.3767 -0.020056 0.31506 0.15084 0.21329 -0.082075 0.098742 0.14141 -0.23202 -0.50339 -0.2696 -0.26009 0.47076 -0.2191 0.24061 -0.041951 0.078966 -0.10414 0.52906 -0.098216 0.046646 0.14467 0.58758 0.79531].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.05224 -0.27061 0.0097225 -0.12073 0.055622 0.038367 0.040096 0.013388 -0.13109 0.010626 0.052579 0.085526 0.013018 0.010029 0.093313 -0.038112 -0.032585 -0.025342 -1.1047 -0.2026 0.030063 -0.0050691 0.0086183 2.3034 0.0076516 -0.22566 0.057398 0.045043 0.14991 -0.10178 -0.1341 0.0079483 0.38766 0.10055 -0.0065785 -0.060035 0.028554 0.039815 -0.093327 0.024026 -0.054636 -0.0015088 0.084327 -0.034226 -0.21067 0.16701 -0.16268 -0.2594 0.32549 0.36895 0.024371 0.093426 0.085197].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.012822 -0.055742 0.088521 0.039627 -0.89434 0.20831 -0.0094777 0.021883 -0.042151 4.5889e-05 -0.064794 -0.075732 0.13358 0.025356 0.018911 0.047469 -0.096646 0.22674 0.079448 0.2828 -0.35809 -0.12015 -0.086645 -0.32706 -0.047014 -0.069146 0.056089 -0.033213 0.11163 -0.84761 -0.089433 -0.072288 0.22086 0.10613 0.066663 0.011818 -0.51106 -0.13683 -0.012118 -0.063141 0.12826 -0.1887 0.15634 -0.12925 0.17872 0.0037683 -0.074715 -0.23533 -0.039438 0.028077 -0.22497 -0.070397 0.22331].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.038955 0.27005 0.018002 0.24118 0.21255 -0.00048669 0.013442 0.13856 0.021097 0.075824 0.018617 -0.036634 -0.027427 0.044441 0.027547 0.11466 -0.016083 -0.14865 0.099206 0.55193 -0.019597 -0.15909 -0.21273 0.11839 0.080909 -0.020816 0.030999 0.048303 0.073947 -0.029305 -0.30665 0.034153 -0.073771 -0.071727 0.0034725 0.020176 -0.11737 0.10295 -0.27392 -0.3507 0.079458 -0.19145 0.066688 -0.0036979 0.051573 -0.053237 -0.073153 0.037979 -0.030385 -0.43975 -0.18386 -0.066686 0.036253].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.017428 -0.1816 -0.11238 -0.19631 0.051579 0.0055025 -0.0088163 0.014951 -0.0044304 -0.033769 0.086555 0.036203 -0.013225 -0.01016 -0.015609 0.12164 0.05038 0.20237 -0.15847 0.11126 -0.040119 0.043957 0.23803 -0.032753 -0.0021882 0.079581 0.064473 0.0016739 -0.14803 0.011941 0.2844 -0.0010626 -0.19672 0.14999 -0.017921 -0.15378 0.39453 0.068276 0.2164 0.24656 -0.093193 0.25843 -0.00036224 0.014469 -0.023596 -0.0015658 0.092193 0.45776 0.015667 0.35581 -0.18427 0.025109 -0.019547].
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 [-0.26534 -0.05134 -0.16251 -0.014713 0.050968 0.049676 0.006563 -0.016756 0.3667 -0.03482 0.1411 0.10101 0.053552 -0.079926 0.21859 0.01012 0.01145 -0.51335 0.15777 0.10039 0.029126 -0.079091 0.33382 5.1551 0.0017273 0.14049 -0.090312 -0.26697 -0.035797 0.93492 0.34013 0.1774 0.06029 0.010587 0.031861 0.055436 0.086987 0.13458 -0.044463 -0.057704 0.3092 -0.22251 -0.38004 -0.096075 -0.26932 -0.2288 0.10688 -0.45913 -0.24248 -0.13891 -0.0072199 -0.19958 0.11085].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.090382 -0.32396 -0.064551 0.054918 -0.06289 -0.27299 0.073794 0.010293 0.045736 -0.18934 -0.40962 0.027826 -0.061405 -0.29447 -0.0042914 0.074048 -0.060885 -0.088626 0.0010196 0.0061254 -0.056652 0.0073645 0.098665 6.496 0.063658 -0.22897 -0.098214 0.021788 -0.046018 -0.10964 0.10338 0.23381 -0.063328 0.04861 0.15847 -0.095869 0.027747 -0.0092173 -0.16146 0.42774 -0.13227 0.059921 0.55595 0.018698 -0.027663 0.083521 -0.039106 0.45839 0.027159 -0.12354 -0.077641 -0.079859 -0.0055812].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.023765 -0.31763 0.15185 -0.027396 0.38077 0.039476 0.29084 -0.014738 -0.09142 -0.35509 0.058417 -0.011971 -0.031419 0.069296 -0.34389 -0.099654 -0.097536 -0.21535 0.18908 0.057615 -0.052793 -0.047862 0.0042304 -0.35738 -0.024719 -0.063155 -0.011521 0.18924 -0.043564 -0.017253 -0.21665 -0.37868 0.12164 -0.14056 0.14319 0.0345 0.034907 -0.095396 -0.13418 -0.81481 0.069026 -0.014627 -0.033439 -0.0018405 -0.14067 0.053225 0.01186 -0.070218 0.0056314 -0.0054487 -0.13468 -0.018682 -0.011627].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.24358 0.1112 -0.023346 0.28719 0.36769 -0.080476 0.47795 -0.027368 0.14813 -0.017277 0.52279 -0.02821 0.049903 0.030417 0.0060752 -0.043976 0.10108 -0.14798 0.0033506 -0.26307 0.75049 0.0059892 -0.24296 0.029595 0.019281 0.11493 0.042726 -0.063807 -0.02873 0.025214 -0.059291 -0.086141 -0.15501 -0.040028 0.0067594 0.058787 0.0048009 0.088778 -0.070226 0.17776 -0.0076081 -0.022196 -0.084891 -0.070295 0.11515 0.043334 0.044375 0.0047371 -0.053324 -0.03827 0.13668 0.066809 -0.033253].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11555 -0.31165 0.038602 -0.035097 0.005117 -0.19844 -0.84623 -0.22591 -0.11057 0.023877 0.0059879 -0.0042775 0.031437 -0.075058 -0.057288 0.11064 0.020609 0.14629 -0.13348 0.027339 0.0023486 0.016695 0.16532 0.001282 -0.078246 -0.17538 0.020881 0.33517 -0.078693 0.034158 -0.013756 0.065839 0.12206 0.037739 -0.13751 -0.021364 -0.011943 -0.092397 0.025187 0.0032917 -0.0011961 0.037189 0.012282 -0.5687 -0.038917 -0.019454 -0.11988 -0.521 -0.11112 0.010378 0.042799 -0.0013079 -0.23074].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.039574 0.37303 -0.011813 0.075835 -0.059374 0.29011 0.068377 0.36234 -0.19215 -0.0068615 0.042892 0.018852 0.00054418 0.07192 0.00092584 0.19739 -0.1362 0.068433 0.12582 0.16029 0.0056511 -0.0013441 -0.23935 -0.49907 -0.1754 0.0083098 -0.044322 -0.27634 0.013189 0.023354 0.41747 -0.017324 0.11275 0.041859 -0.013273 -0.031491 0.012952 -0.065118 -0.020075 -0.018173 -0.010644 -0.048433 0.034107 -3.5501e-05 -0.1754 0.0079123 0.097027 -0.1325 0.141 -0.016657 0.020748 -0.028915 0.32026].
# Parameters are learned. Sampling algorithm is now running...
-------------------------------------------------------------------------------------------
# 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/R27_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 39526 s