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R25.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 [26.7719 17.2036 9.2936 11.2764 11.1712 19.4789 5.50072 18.5403 11.7118 4.67251 7.63211 3.69541 -0.298231 1.50057 46.0877 5.48011 6.47225 14.4507 20.174 9.43144 36.1131 9.22053 6.69509 14.0107 10.0171 18.5138 4.07174 37.4275 15.5402 11.0363 14.3657 30.9273 10.0326 5.21861 18.7445 0.272201 16.983].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.7908 1.8563 0.19345 0.22284 -0.090491 0.72589 1.5181 0.46827 0.91916 0.25598 0.84034 -0.10619 0.01574 0.084457 -0.16336 0.21446 0.89718 2.3693 0.48651 0.34082 0.97824 -0.32653 0.67215 2.162 0.0087387 1.0785 -0.050429 7.3611 1.6501 0.00047569 -0.40406 1.8323 0.26757 -0.038337 -0.75559 -0.16411 0.62511].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11145 0.027606 -0.14293 -0.23306 0.30668 -0.21907 -0.25725 -0.085527 0.55368 0.036941 0.12472 0.014225 -0.059784 -0.061081 0.31295 -0.013872 -0.24605 -0.57198 -0.22629 -0.64623 -0.27118 -0.1376 -0.063016 -0.81841 -0.071367 -0.11774 -0.08875 1.1926 0.2097 0.084091 -0.064489 -0.0095825 0.056078 -0.008489 0.19344 -0.076375 0.39658].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.20027 0.052245 -0.13339 -0.00038475 -0.046879 -0.29368 -0.52518 -0.019358 -0.087042 0.079493 -0.20833 -0.106 0.26893 -0.0031629 0.036901 -0.0042817 -0.030803 0.83053 0.41849 -0.16539 0.04262 -0.51682 0.83782 -0.048009 0.18133 0.31203 0.071494 -0.35315 -0.072119 0.23724 -0.27942 -0.18224 0.096419 0.065142 0.1992 0.042925 0.11007].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17185 -0.013868 -0.035724 -0.0584 -0.13109 0.11216 -0.68847 -0.086686 0.13807 -0.042988 0.15078 0.089693 -0.1376 0.17444 -0.044035 -0.08326 0.099959 -0.33421 -0.17824 0.41853 0.014203 -0.40198 0.071981 0.036634 -0.3368 -0.66472 -0.17171 -0.010588 0.091762 -0.032532 0.30564 0.18479 -0.15551 0.008466 -0.18121 -0.13393 0.00055446].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.15028 0.0073162 -0.13869 0.11665 -0.019348 0.036994 -0.069067 0.022664 -0.41232 -0.32083 -0.064647 0.015609 0.18348 -0.57332 -0.053447 0.071704 -0.040064 -0.06475 -0.049126 -0.16333 -0.0034504 0.87165 0.024549 -0.050219 0.36808 -0.08713 -0.15417 -0.028151 -0.18093 -0.054178 -0.039098 -0.063553 0.013895 -0.035186 0.14378 -0.1342 0.016379].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.058963 -0.08203 0.23578 -0.00084675 0.11812 0.24404 -0.081927 -0.11289 -0.29677 0.12043 0.096021 -0.024461 -0.012669 0.17292 0.051537 0.011666 -0.0060152 0.38085 -0.26042 0.090387 -0.14288 -0.42193 0.092936 -0.083938 -0.030627 -0.052505 0.26982 -0.13725 -0.10035 0.077651 0.069074 -0.41526 -0.20844 -0.13891 -0.0065681 0.15971 -0.22141].
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 [30.9898 25.2743 24.3227 19.5864 18.4546 18.2881 11.0889 37.9621 17.897 5.83323 12.6713 2.84999 15.0206 5.2272 11.7321 13.8551 9.4237 7.17593 13.6595 21.6494 46.5534 9.75327 5.56092 15.5771 14.5037 11.5545 7.78401 4.34542 22.3677 22.4055 12.968 43.7527 7.8629 5.46188 9.34773 25.0755 15.8247].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [2.8545 2.8303 5.8803 2.6688 0.2504 2.7126 0.83872 5.2112 1.162 0.25087 -0.63972 -0.063488 1.4066 0.46675 0.58829 0.082315 1.5652 1.1848 -1.5328 1.1086 4.3318 0.29572 0.62257 -0.32441 2.9509 0.88806 0.47311 0.6066 1.4957 3.0899 1.6787 2.5233 -0.092977 1.2773 0.11479 1.7028 1.3907].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.4514 0.27012 0.91744 0.47626 0.80816 1.2415 -0.5194 0.96873 -0.40935 -0.47101 0.044103 0.306 -0.41906 0.36384 -0.006068 0.088863 0.32265 0.1717 -0.18377 0.46516 0.10772 -0.043469 -0.13833 0.51943 1.192 -0.025227 -0.36189 1.0022 0.42679 2.3576 0.86087 0.1342 0.1371 0.27358 0.036979 0.67323 -0.43385].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.18146 -0.26051 0.36906 -0.0067295 0.022885 1.1769 -0.035432 0.52003 0.84849 0.031309 0.27707 0.071557 -0.072064 -0.026249 -0.072566 -0.049874 -0.27562 -0.036573 0.036439 -0.24862 0.91363 -0.16829 0.1688 0.45538 -0.11989 0.63185 -0.17023 -0.23606 0.3204 -0.71431 0.42134 0.079344 -0.056608 -0.37278 -0.06146 -0.19972 0.052014].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.01572 -1.0916 0.12372 -0.071157 0.011966 0.17828 -0.17164 0.5956 0.052695 0.30267 -0.10837 -0.13323 0.10077 -0.12985 0.047248 -0.012147 0.24498 0.064501 -0.0045718 0.099626 2.2822 -0.23462 -0.4762 -0.41703 -0.25544 0.073063 0.24314 -0.27727 -0.12853 0.19737 0.0054024 -0.060929 2.0303e-05 0.079196 0.27505 -0.010818 -0.0017486].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.31943 -0.040844 0.029715 -0.21687 -0.039194 0.0017155 0.13663 0.17551 -0.0085206 -0.29205 -0.070099 0.12797 0.089302 0.079246 0.0055124 0.058768 -0.39575 -0.19719 0.0012906 0.1175 -0.26073 0.6263 0.52928 0.2995 0.081617 0.13428 0.017422 0.54466 0.0067733 -0.34181 -0.011911 0.0082091 -0.039475 0.18619 0.28333 0.16474 -0.0027092].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.32763 0.065458 -0.067054 0.064551 -0.33517 -0.035756 0.039417 -0.023812 0.0087066 0.37247 0.03301 -0.0684 -0.15107 0.013164 -0.031002 0.017395 0.39332 0.20641 -0.02378 -0.37429 -0.42611 -0.017659 0.097397 -0.45389 -0.17479 -0.023215 -0.052232 0.035726 -0.015133 0.089353 -0.36596 -0.33872 -0.02371 0.18196 -0.3446 -0.030416 -0.011915].
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 [0.55279 0.34529 0.71875 0.19179 0.31584 -0.8548 0.056733 0.45453 -0.22175 -0.20836 0.23553 0.30597 0.034474 -0.18221 0.031637 0.10395 -0.14813 0.034294 0.29638 -0.011572 0.44211 0.14797 -0.2053 -0.075939 0.13847 -0.11943 -0.53992 0.065176 -0.45793 -0.29245 0.37838 0.15756 -0.12187 0.092157 0.35755 -0.22883 -0.0047621].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.15585 -0.032848 -0.17426 -0.021423 -0.0135 0.052306 -0.030261 0.038799 -0.3423 0.056355 0.46621 -0.07678 0.11248 -0.26026 0.037935 0.11319 -0.26843 -0.15931 0.34158 0.082781 0.60499 0.065785 -0.15143 -0.88648 0.016408 0.10032 -0.096331 0.11038 -0.19889 -0.0041196 0.03081 -0.12715 0.36829 0.1045 -0.055814 0.04006 -0.071717].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.86135 -0.046965 -0.00013076 0.66935 -0.21727 0.11621 0.034854 0.087254 0.057504 0.024634 0.040046 -0.088524 -0.038499 -0.012476 -0.24529 -0.062272 -0.029145 -0.50179 -0.26243 -0.88596 0.33329 -0.12131 0.094218 0.79337 -0.045805 -0.035969 0.016588 0.069392 -0.066659 0.24958 0.1077 -0.11399 0.10475 0.092855 -0.055704 -0.0043787 0.077021].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.42633 0.2116 -0.055269 -0.80778 -0.048624 -0.62589 0.035487 0.064622 0.050051 0.19813 -0.19687 0.15022 0.029687 -0.10659 0.46025 0.28306 0.41699 -0.03748 -0.14147 -0.03647 -0.84645 0.12277 0.77256 0.059344 -0.036275 0.09071 0.28258 -0.36838 -0.092634 0.2016 0.27201 -0.29229 -0.023796 -0.10021 -0.0035904 -0.23091 -0.045744].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.14398 -0.37618 0.12783 0.34382 -0.26666 -0.047551 0.02598 -0.10372 -0.10636 -0.048383 -0.0045523 -0.13281 -0.012158 0.17484 -0.037993 -0.17159 -0.25882 0.017455 0.1501 -0.011212 0.045862 -0.048444 1.138 -0.057039 0.2271 0.12048 0.15674 0.18364 0.00023244 0.02443 -0.017206 0.47682 -0.087861 0.048174 0.0049946 0.27832 0.098032].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.40687 0.62862 0.0012674 -0.070322 0.34047 -0.44261 -0.29379 -0.084814 0.095883 0.20908 0.12014 -0.18974 -0.021862 0.14343 0.19213 -0.12181 0.55723 0.013701 -0.055373 0.029034 0.011586 0.014242 -0.26665 0.090222 -0.3778 0.065847 -0.83921 0.035307 0.12143 -0.18002 0.0023616 -0.21909 0.05291 0.19044 -0.0016927 -0.02661 -0.11764].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.71962 -0.31046 -0.28326 -0.40743 -0.23 0.032788 0.2444 -0.040085 0.0011779 -0.062628 0.20443 0.33913 0.042554 -0.08488 -0.31155 0.212 -0.0043149 -0.00053808 0.040462 -0.075184 0.12984 -0.085143 0.26449 -0.24575 0.065248 -0.53037 -0.42827 -0.0841 -0.045642 0.17731 -0.057365 0.21385 -0.0032667 0.021199 -0.017737 -0.0292 0.25756].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.22054 0.061959 0.28529 0.38857 0.2227 -0.15151 0.077612 0.040597 0.0083869 -0.13826 -0.10281 -0.16747 -0.077034 -0.089819 0.51722 -0.12509 0.0045159 -0.10232 0.0099949 0.025159 0.10347 0.015831 0.14579 0.1695 0.33439 0.11857 -0.080433 -0.40977 0.033664 -0.14021 -0.029744 -0.74647 -0.045907 -0.14446 -0.034272 0.037151 -1.3796].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.15043 0.20767 -0.019846 -0.53761 -0.11166 0.2308 0.045335 -0.25412 -0.1762 0.10739 0.12971 -0.0020182 0.071775 0.080735 0.25002 -0.05838 -0.0089923 0.063163 -0.0052628 0.066169 -0.49831 0.051283 -0.14073 0.06276 -0.078232 -0.0204 0.53116 0.18393 -0.0066222 0.17355 0.014617 -1.4834 0.088511 0.076409 0.036799 0.009611 0.35934].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.010651 0.058526 0.0052761 0.06125 -0.085547 -0.10449 -0.038037 0.54339 0.14246 0.052417 -0.26826 -0.13286 -0.0053873 -0.051768 0.013133 0.10111 -0.044474 -0.00025503 0.022312 -0.28947 0.18549 0.075713 -0.26856 -0.21085 -0.002631 -0.032237 -0.21206 -0.12553 0.012865 0.0066609 -0.0020227 0.15566 -0.022791 -0.014676 -0.012011 -0.068866 0.037525].
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 [-0.012609 -0.071332 0.055055 -0.11912 -0.41619 -0.4542 -0.38708 0.070286 -0.19685 -0.038544 -0.044104 -0.029726 -0.14568 -0.087662 0.048124 -0.078898 -0.055926 0.13388 0.086324 0.21742 0.65308 -0.092052 -0.81753 -0.50731 0.41966 -0.084865 -0.61895 -0.31301 -0.051793 -0.22248 0.027632 0.14382 -0.079457 -1.0345 0.12679 -0.060291 -0.79479].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12733 0.032146 -0.26476 -0.06914 -0.45959 0.34402 0.030805 0.33366 0.040856 -0.029287 -0.11861 0.15395 0.061512 -0.17671 -0.01104 -0.13355 -0.26609 -0.16693 -0.42191 -0.79381 -0.079755 0.094179 0.062353 -0.66028 0.25623 -0.013902 0.00094929 -1.6076 0.025798 -0.027012 -0.24747 0.071526 0.013023 0.11573 -0.065708 0.22531 0.44826].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.57499 -0.61364 0.74317 0.5389 0.057296 -1.2547 0.14559 -0.35843 0.32845 -0.05995 -0.0059204 0.033832 -0.379 -0.1664 -0.10926 0.018754 0.98693 -0.65898 0.7665 0.18264 -0.13294 0.055833 -0.42003 0.091354 0.26323 0.069629 -0.074858 0.008616 0.44936 -0.33909 -1.0107e-05 -0.039751 -0.00065238 0.066105 0.0013852 0.11573 0.032618].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13279 -0.25176 -0.24516 -0.79803 -0.00091314 -1.4985 0.36881 -0.0025915 -0.051078 0.051721 -0.36409 0.063718 -0.043312 -0.15497 -0.25298 -0.12935 0.32387 0.18068 0.30337 0.21622 -0.078868 -0.1189 -0.41065 0.11626 0.22727 -0.010288 0.17926 -0.09113 -0.0090775 0.28695 0.17177 0.19195 0.18306 0.067419 -0.53296 0.081721 0.029138].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.68386 4.1667e-05 -0.31922 -0.012755 0.12013 0.31612 -0.89621 -0.38404 -0.0060137 0.093796 -0.012335 0.15265 -0.016063 -0.16778 0.15656 0.03202 -0.50979 -1.1804 -0.24308 -0.86902 0.29773 0.0088918 0.29582 0.0044116 -0.03772 -0.059844 0.12117 0.045284 -0.019356 -0.066459 -0.096686 -0.10701 -0.19413 -0.32086 -0.0070815 -0.44068 -0.093603].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.38771 0.26505 0.60734 0.00078465 0.0081788 0.023732 0.13362 0.49017 0.043831 -0.025449 0.54795 -0.095694 -0.00072653 0.21214 0.024875 -0.005959 -0.10185 -0.52825 0.46804 -0.19987 0.23084 0.077558 0.054867 -0.0015657 -0.23823 0.04831 -0.46957 -0.081798 -0.003313 0.023633 -1.1822 0.02413 -0.098383 0.092512 0.0051991 0.67803 0.05908].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.37547 -0.031533 -0.045016 0.0082579 -0.099323 -0.40861 -0.0091485 -0.00040764 -0.014306 -0.11354 0.16097 0.090672 -0.063829 -0.079837 -0.12502 0.025893 -0.042571 -0.00086738 -0.05667 0.2132 -0.55308 -0.0075066 -0.074106 -0.24062 0.047749 0.023704 0.54712 0.076937 -0.081954 -0.012381 0.30112 -0.033893 -0.18898 0.1761 -0.11429 0.054073 0.013978].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.61012 -0.10915 -0.10965 0.022707 0.098796 0.33974 0.011333 0.011267 0.0026281 0.12103 -0.11503 -0.23722 0.13774 -0.061204 -0.22948 0.0047519 0.097883 -0.095209 -0.14644 0.0008897 -0.33755 -0.025208 0.023283 0.21666 -0.32604 -0.15295 0.34516 -0.019382 0.081262 0.038593 0.48685 -0.0046172 0.083101 0.0049507 0.11219 -0.01908 0.0079486].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.052132 0.055714 0.09268 -0.0009181 -0.0033022 0.067995 -0.033792 -0.25004 0.019052 0.045011 -0.38414 0.18356 -0.11099 0.14543 0.32778 -0.029646 0.11525 -0.52225 -0.16992 -0.082258 0.18309 -0.23117 0.043664 0.0025404 0.57486 0.15617 -0.082195 -0.022754 0.001467 0.017629 -0.18036 -0.6981 0.16998 0.060883 -0.0052983 0.010787 -0.016921].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.049126 0.059494 -0.0043025 -0.5491 -0.11773 0.064624 0.022461 0.256 0.018293 -0.22615 0.55882 -0.12132 0.12189 -0.1088 -0.24456 0.033278 -0.044984 -0.17105 0.25498 0.012737 0.12829 0.3493 -0.10938 0.0061508 -0.41574 0.0049679 -0.0051397 -0.20745 0.024609 0.0053259 0.20245 -0.068581 -0.1014 -0.0043318 -0.011607 -0.097952 0.0042035].
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 [0.097697 -0.11868 0.16094 -0.05762 -0.019919 0.2692 -0.23099 -0.91121 0.12369 0.064083 -0.024226 -0.0089254 -0.3409 0.060448 0.20349 0.28828 0.59927 -0.009929 0.1185 0.076589 0.88258 -0.014973 0.018303 -0.11083 -0.077521 0.17664 0.064579 0.14738 -0.52429 -0.0096509 -0.12323 0.40133 0.027361 0.10318 -0.043731 -0.20538 -0.13711].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.36244 0.019692 -0.0078685 -0.011801 -0.041707 0.010823 0.282 0.74608 0.40307 0.29859 -0.10241 -0.051177 -0.077463 -0.0058632 -0.12139 0.027801 0.126 0.81164 0.10324 0.0077395 -0.20312 0.072875 0.088539 0.046414 -0.016444 -0.036089 -0.039774 0.011587 -0.49378 0.06143 0.3533 -0.11421 -0.0068685 0.37738 -0.05172 0.21761 -0.030863].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.086829 -0.017179 0.12606 0.01781 -0.080526 -0.19538 -0.14914 0.15526 -0.0092165 0.21235 0.066478 0.040722 0.086283 -0.0074459 -0.1386 0.077793 -0.22633 0.012874 -0.08032 -0.39224 -0.187 -0.49436 0.11822 -0.53612 -0.098659 -0.37015 -0.0082306 -0.022379 0.14974 -0.2066 0.02723 -0.24169 0.11425 0.24463 0.010237 -1.3146 0.11569].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.27964 -0.057108 0.013694 0.69402 -0.38782 -0.075064 0.1641 0.052831 -0.12294 0.20752 -0.20365 0.014192 0.027664 0.041898 -0.097284 0.086356 -0.077181 0.055929 0.056487 0.05974 -0.14944 -0.061288 0.0026414 0.059282 -0.070756 -0.085077 -0.20119 -0.17539 -0.11536 -0.10654 -0.042214 0.0354 -0.93272 -0.15717 -0.23161 -0.051235 -0.0059494].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.18359 0.11738 -0.33122 -0.011067 0.71954 0.18566 0.20292 0.1458 -0.042023 0.03941 0.48976 0.074943 -0.012199 0.15595 0.057074 0.024968 0.087575 0.020915 -0.0043404 -0.017182 0.080921 -0.10214 -0.043166 -0.0097006 0.34099 0.17168 0.32391 -0.95651 0.12745 0.097726 0.13724 -0.0053025 0.066212 -0.31897 0.32528 0.060351 -0.13875].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.085567 -0.10615 0.42069 -0.047244 0.61693 0.25253 0.1658 -0.13763 0.078355 -0.062731 -0.5529 -0.0028586 -0.051118 -0.18924 0.013824 -0.054157 -0.51846 -0.10017 0.00015063 -0.03482 -0.19949 0.0095595 -0.12719 0.079708 -0.01645 -0.0067464 0.081452 -0.071215 -0.069495 -0.009654 0.03689 -0.05597 -0.068186 0.33829 -0.017271 -0.018336 -0.10441].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.012558 0.012586 -0.14176 0.063145 -0.083421 -0.364 -0.36354 0.12765 0.19697 0.014354 0.067765 -0.015993 0.059296 0.16213 -0.010154 -0.072526 -0.047993 0.098736 -0.14856 0.088531 0.052905 0.10771 0.057062 -0.0031986 0.04373 0.0013018 -0.35171 0.04961 0.081678 -0.029435 -0.52146 -0.025042 0.066372 0.15875 -0.058094 0.059561 0.30094].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.062547 0.42563 0.15245 -0.0039403 0.088144 0.29142 0.11475 -0.017016 0.012858 -0.15415 -0.059997 0.03195 -0.036204 -0.44122 -0.15211 0.00054408 -0.2201 0.0024961 0.022982 -0.02586 0.14397 -0.022091 0.0075944 -0.0070235 -0.057486 -0.48434 -0.24976 0.073291 -0.15769 -0.18235 0.025214 0.12004 -0.038369 -0.16496 0.13164 0.011471 -0.057372].
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 [0.089562 -0.31043 -0.27846 -0.056238 -0.33708 0.1418 -0.30906 -0.056547 -0.16053 0.26856 0.11937 0.11851 -0.059674 -0.013454 -0.048067 -0.15246 0.011584 -0.0053303 -0.032065 0.16658 0.31253 -0.35119 0.42145 0.071969 0.067261 -0.018676 0.047781 0.24877 -0.13232 -0.26005 0.026801 -0.17314 0.0040421 0.036072 -0.35081 0.026014 -0.064642].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.048937 -0.19512 0.026322 0.069013 -0.019111 0.17802 0.11104 -0.29762 -0.62867 0.0036823 -0.1299 -0.087762 0.020796 0.063966 -0.15279 -0.22802 0.21811 -0.19201 0.10758 -0.076976 -0.10964 0.116 -0.068682 -0.57878 -0.23944 -0.069425 -0.24744 -0.093161 0.13361 0.055319 0.019572 0.013859 -0.078324 -0.19713 -0.3302 -0.036863 0.61246].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.32672 -0.042364 0.053013 -0.56051 -0.45108 -0.57718 0.075778 0.80685 -0.095509 0.074648 0.057003 -0.32935 -0.14651 0.012718 -0.10248 0.14629 0.0024048 -0.3355 -0.49995 0.17862 0.42465 0.01345 -0.24584 -0.094056 -0.34759 -0.22704 0.10137 0.069607 -0.0048671 -0.0096481 0.04559 0.26899 0.21884 0.18536 0.30111 -0.058149 -0.15805].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0065409 0.0078181 0.12469 0.035322 0.15005 0.2642 0.056075 0.00039411 -0.13696 -0.023348 -0.13298 -0.038716 -0.06358 -0.096931 -0.12197 -0.24075 -0.0086713 -0.016182 0.10366 -0.01964 0.24429 -0.40619 0.1607 0.15364 -0.73706 -0.53164 0.0046313 -0.17922 -0.17267 -0.086205 0.43346 -0.1251 0.14544 0.18348 0.096649 0.025384 -0.22957].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.030002 -0.52716 -0.26455 -0.19781 0.07719 -0.22112 0.11608 0.0058562 0.1536 -0.11448 0.49464 0.0478 0.0035706 0.21815 0.24141 0.25504 -0.0043334 -0.0074275 0.16003 0.032146 -0.65438 0.89247 0.0088431 -0.32458 -0.13931 -0.46195 -0.12152 0.038731 0.083855 0.044054 -0.14681 -0.027315 -0.25919 -0.26199 -0.17987 0.03239 0.16188].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.031551 0.11542 0.15227 -0.015671 0.010946 0.18824 -0.25135 -0.045228 -0.027956 0.14772 0.013691 -0.011213 -0.011858 -0.4962 -0.6233 -0.19248 -0.01398 0.013268 -0.77524 0.016422 -0.44175 0.1308 0.048878 0.1391 0.10867 -0.33198 0.12263 -0.07826 -0.60807 -0.0076393 -0.0060481 -0.012408 0.21179 -0.012798 0.16984 -0.36611 0.13526].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.062698 0.00074286 -0.12738 -0.24163 -0.090617 0.031288 0.051382 0.023308 0.020742 -0.092518 -0.53289 -0.10025 -0.013539 0.3189 -0.015581 0.26012 0.0055004 0.0014278 0.61916 0.12305 -0.069176 0.053368 -0.0098894 0.11209 -0.00929 0.3613 -0.015991 0.060669 0.44314 -0.0090845 -0.54533 0.048198 0.031321 0.071348 -0.019243 0.39097 -0.010568].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.01508 0.01269 -0.24946 0.16013 0.058203 -0.0068856 0.12366 0.029771 -0.093953 0.053784 -0.11182 0.090468 -0.0022838 -0.32879 0.020258 -0.17185 -0.099865 -0.027441 0.027973 -0.17945 0.60527 -0.016053 -0.022359 -0.34779 0.062241 -0.22949 -0.1096 0.23421 -1.8665 0.012857 0.14444 -0.19904 0.018318 0.014484 -0.0095954 0.020301 0.048953].
# Iteration 9:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.29863 0.012332 0.20986 0.19691 0.027114 -0.37243 0.078033 -0.036001 0.097441 -0.18049 0.052157 0.014727 0.031952 0.37121 -0.0051135 0.18822 0.097059 0.033282 -0.061451 0.082122 0.18307 -0.046892 -0.07541 0.38755 -0.081075 0.32978 0.11547 -0.0872 0.84258 0.019567 0.074049 0.10346 -0.078085 0.15077 -0.084159 -0.075531 -1.0655].
# Iteration 10:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.28269 -0.1122 0.19192 -0.014188 -0.12007 0.28033 -0.018661 0.0098819 0.0099353 0.20776 0.043241 -0.012091 -0.11649 0.18215 0.031805 -0.093077 0.0016929 -0.0066831 0.082068 -0.018722 -0.091918 0.0085257 0.087462 -0.025956 0.091916 -0.93574 -0.0061314 -0.29727 -0.30585 -0.046244 -0.25534 -0.33799 0.078986 -0.159 0.11644 -0.032824 -0.0067603].
# 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/R25_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 10917 s