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R102.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 [39.34437 34.77511 10.43113 14.96431 10.6397 1.655585 32.11914 13.45989 17.55098 14.67883 27.68086 2.090773 3.653843 6.189002 0.207519 10.33109 63.8521 14.4004 7.387099 42.10426 12.58845 4.094164 17.98721 24.88345 17.11615 45.1229 7.306873 7.955199 12.4488 4.617089 17.02678 20.80859 9.996854 38.59305 22.0122 9.851362 18.12739 113.264 30.14098 1.45332 60.18424 10.57561 1.607668 42.85227 3.344269 15.97749].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.86945 0.86917 0.59555 -0.43798 0.070914 -0.28982 1.6206 0.59736 3.0842 2.1321 1.4561 0.36163 1.7682 0.32355 -0.26884 0.67464 0.53872 -0.13698 0.55225 6.441 -0.38439 -1.1472 1.5463 0.96664 0.035586 0.84869 -0.051264 -0.41599 0.71343 -0.61798 1.2286 0.56214 0.68406 6.2479 1.2292 0.62741 0.0088989 5.0385 1.9988 1.4232 2.6287 0.59918 0.59649 2.3086 0.65105 0.79086].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.35729 0.43758 0.013913 -0.051658 -0.1486 0.095109 0.59121 -0.0027274 0.067812 0.058717 0.23902 0.22782 0.30088 0.18879 -0.10061 0.14812 -0.015885 0.083421 0.063224 1.2543 -0.063305 0.087758 -0.13798 -0.025772 0.059923 0.2677 0.065364 0.52439 -0.024654 0.22286 0.12232 0.18572 0.46522 0.97372 0.16869 0.25159 0.16224 0.47474 0.16405 0.56686 0.082337 -0.20499 -0.93273 -0.66047 -0.064084 0.12081].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.14782 -0.034023 0.49076 -0.029094 -0.12365 -0.11496 -0.066522 0.055956 -1.6418 0.085023 0.7838 -0.067928 0.24855 -0.040728 0.050984 -0.0422 0.0018588 -0.11904 -0.20338 -0.43857 -0.039915 -0.28221 0.053076 0.073847 -0.074495 -0.023834 0.0026166 0.001655 0.35331 0.27451 -0.038921 -0.048819 0.11323 -0.19003 -0.0062068 -0.32904 -0.017599 0.22979 -0.011071 0.32546 -0.13732 0.12843 0.048153 -0.21427 0.0070333 0.03045].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.15094 -0.64886 -0.37791 -0.32417 -0.17484 -0.016285 -0.043044 0.0072645 -0.3754 -0.015197 0.015527 -0.29938 0.43133 0.10555 -0.37473 -0.01176 0.11138 0.01003 -0.24272 -0.15446 -0.031196 0.38665 -0.074989 0.07235 0.018347 -0.18622 -0.11781 -0.0029491 -1.489 0.059917 -0.028432 0.21614 -0.24079 -0.066401 -0.20193 0.25646 0.032829 0.48975 -0.06837 -0.017601 -0.062107 -0.16169 0.028472 0.17705 -0.10474 0.29034].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17584 -0.0388 -0.0021451 0.19892 -0.14551 0.10834 -0.01127 0.012462 0.18056 0.014823 -0.062793 0.045177 0.053458 -0.081181 0.25837 0.050674 -0.43676 -0.051809 -0.23269 0.54279 -0.055927 -0.10778 -0.071122 0.0062682 0.053535 0.17461 0.0044781 -0.076285 -0.1401 0.10475 -0.14267 -0.050465 0.22696 -0.20168 0.15279 0.043931 -0.0030797 -0.45603 0.074945 -0.018585 -0.042706 -0.37315 -0.02039 -0.029123 0.11481 -0.4175].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.18067 -0.02022 0.18792 0.14176 -0.5644 -0.16335 0.15152 -0.031788 -0.13077 -0.015134 0.06657 0.50335 -0.35758 0.093632 -0.46144 -0.067744 0.63568 0.0045296 0.54458 -0.16677 -0.070633 -0.20574 0.14676 -0.30794 0.14418 -0.19046 0.098738 0.052486 0.19116 0.027225 0.2153 -0.066364 -0.14217 -0.052123 0.04896 0.010984 -0.077691 0.49522 0.058664 0.0096039 0.38953 0.42671 -0.020829 0.13462 -0.010142 0.41047].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.15513 -0.28718 0.19543 0.21978 0.20165 0.11518 -0.12596 -0.12402 0.13629 -0.16608 -0.017198 0.080164 0.21878 -0.10548 0.30786 0.027792 0.081868 -0.19086 0.039896 0.013895 -0.080792 0.28863 -0.12805 0.22168 -0.053761 0.20619 -0.14468 -0.069876 -0.45469 -0.06376 0.0026378 -0.019062 0.22995 0.12398 0.024346 -0.17964 0.081426 -0.68488 -0.01262 0.022933 0.010449 -0.19823 0.02962 0.0052316 0.061997 -0.45062].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.031736 0.32198 -0.98424 -0.13002 -0.13946 0.10385 0.17481 0.14922 -0.067721 0.031773 -0.020188 -0.023347 -0.13258 -0.019799 0.40057 -0.091072 0.013119 0.19619 -0.037038 -0.12061 0.31716 -0.43746 0.049521 -0.1063 -0.095576 0.0061323 0.14462 0.011819 -0.25439 0.25793 0.0010023 0.02656 -0.20243 -0.23838 -0.042425 0.2059 -0.012801 0.25245 0.012713 -0.0032954 -0.50861 -0.082034 0.013982 -0.040309 -0.020641 0.012679].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.19846 0.0238 0.023488 0.030892 0.035622 -0.095936 -0.24835 -0.042598 0.024364 0.15223 0.033205 -0.082973 0.011145 0.10942 -0.47794 0.29518 -0.26022 0.04401 -0.034991 -0.66497 -0.42853 -0.31694 0.068186 -0.095494 0.098187 0.0076627 -0.099107 0.088747 0.74522 -0.29091 -0.0094187 0.1001 0.1777 0.21848 -0.14974 -0.0036556 0.0055859 -0.155 -0.060483 -0.020607 0.0049552 0.073448 0.0001092 -0.022514 -0.02113 0.43585].
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 [87.31087 37.68003 48.33869 42.81742 15.15346 0.05803593 49.92054 32.18143 52.85174 49.18411 14.92425 8.251881 8.649194 9.558396 29.84865 16.28832 53.52084 28.30201 10.63731 105.553 11.49984 10.86483 7.640797 29.79764 49.93561 36.67142 11.00523 8.020115 14.41326 4.102537 39.3388 26.46058 22.79006 5.18231 33.82952 32.7672 20.84228 20.82499 39.06705 16.40947 85.88663 31.67866 17.54102 30.24413 29.45905 23.70927].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [11.5797 8.07906 4.28561 2.53013 3.97081 2.49314 6.36566 1.06128 2.50011 6.28946 -1.16634 2.83209 0.139588 0.762752 6.42148 1.16538 0.0407829 0.0107188 2.03473 0.712406 1.51426 0.470771 -0.56677 2.7496 2.59676 9.18137 1.42625 1.03672 1.69839 0.15957 3.56687 2.56172 3.85396 -0.637921 5.07978 3.49408 7.90047 8.74446 3.41487 0.081493 5.08826 0.84249 0.197774 -0.263443 4.52507 3.18899].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [2.1595 1.7167 1.4619 1.282 3.7779 0.14535 0.32216 1.7298 1.6178 0.22562 0.42871 -0.43176 -1.3357 -0.0061327 1.3068 0.059204 -0.11811 0.90504 1.3831 -0.63439 -0.065124 0.10758 0.021824 -0.071101 0.68843 4.0565 0.011926 -0.0075464 0.45597 0.55126 0.087442 0.67964 -0.91024 0.45676 3.6874 1.884 0.58996 -0.6022 3.08 0.61031 2.0418 0.9924 0.26233 0.43601 1.7257 0.73627].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.2489 0.40478 0.53288 -0.18422 0.19435 -0.16354 1.2201 -0.12646 -0.1473 0.183 0.14746 0.62147 0.59748 -0.25866 -0.10419 -0.022622 0.14854 0.22266 0.3403 0.073699 0.065141 -0.17361 -0.11446 0.57761 0.12234 -0.43165 -0.065359 0.15902 -0.40617 0.21112 -0.30656 -0.44282 0.28304 -0.0038633 0.3419 0.72095 0.48625 0.76606 2.1141 0.025314 0.25301 -0.2552 -1.2477 -0.043706 0.68239 -0.12155].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.010782 0.15725 0.049485 0.1379 0.29406 0.68017 -0.03497 -0.26235 0.24408 -0.077056 0.084231 0.27126 -0.069317 0.35084 -0.021467 -0.050568 -0.1914 -0.008861 0.2581 0.20659 0.0046403 -0.42913 0.15608 -0.46632 -0.045905 0.53591 0.070888 0.002864 0.066891 -0.046716 0.10805 0.3157 0.25527 0.028026 0.029719 -0.59057 -0.0072745 2.4659 0.61754 0.0043412 -0.046746 0.058822 -0.49152 -0.025142 -0.26022 -0.43094].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.20752 -0.017197 0.042323 0.005827 0.15655 0.14165 0.14925 -0.17389 -0.49849 -0.27877 -0.055602 0.0085483 -0.28876 -0.15782 -0.16269 0.063635 0.17 -0.30038 0.07089 -0.27201 -0.079929 -0.11291 -0.018697 -0.2067 0.043305 1.9088 -0.039791 -0.0053208 -0.064941 -0.1565 0.01891 -0.20802 -0.26139 -0.088533 -0.13662 0.01405 0.03141 1.3614 -0.072907 0.093085 -0.29988 -0.18544 0.33981 -0.020097 0.1902 -0.41472].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.2877 -0.039502 0.030924 -0.057421 -0.40877 -0.084509 -0.25743 0.42648 0.41363 0.27347 0.03118 -0.0013398 0.28566 0.058721 0.16267 -0.058699 0.013314 -0.087605 -0.42494 -0.11927 0.017949 0.76859 0.049545 -0.92796 -0.038926 0.44475 -0.15683 0.0074513 0.0032925 0.23942 0.01652 -0.35306 0.045105 -0.06321 0.06413 -0.16759 -0.16782 1.3454 -0.19129 -0.070426 0.48253 -0.38376 -0.25122 0.063075 0.058086 0.011907].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.15578 0.046526 -0.015435 -0.49504 0.36681 0.036311 0.25351 0.010498 -0.23183 -0.1197 -0.032006 -0.0343 -0.12662 -0.1382 0.055874 -0.11706 -0.020605 0.2187 0.2545 0.15693 -0.01094 0.0099206 -0.18614 -0.42846 -0.14002 -0.051095 0.17557 0.0010055 -0.19731 -0.14498 0.098382 0.28502 0.17896 0.095234 0.07137 0.1546 0.1415 0.96312 0.20021 0.06606 -0.090286 0.71323 -0.074059 0.00094356 0.0018448 0.85523].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13533 -0.29843 0.0098808 0.46575 -0.311 -0.17719 -0.010276 -0.20653 0.27655 0.058599 0.11463 -0.026374 -0.021636 -0.18531 -0.21996 0.19339 0.021231 0.16231 0.010141 -0.15806 -0.060487 -0.040742 0.012339 0.35199 0.15449 -0.24781 0.00040157 -0.027331 0.25004 0.031617 -0.30781 -0.2222 -0.54045 0.050482 -0.0059645 -0.61398 0.007856 0.1138 -0.0076766 -0.089721 -0.47511 -0.14597 0.58662 -0.019787 0.020022 0.0054797].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0050957 0.29448 -0.030869 0.05341 0.12311 0.025539 -0.076676 -0.16502 -0.38786 -0.17822 -0.0053976 0.044331 0.10799 0.41806 -0.33345 -0.028989 -0.069012 -0.20072 0.21816 -0.073196 0.14545 0.022487 0.13464 0.036848 0.026227 0.32294 -0.051394 -0.08587 0.019863 0.10133 0.1788 0.14841 -0.40758 -0.095477 -0.076715 0.25911 0.0083328 0.1662 -0.10562 0.014813 -0.012244 0.11276 -0.14978 -0.014288 -0.0030147 0.077505].
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 [0.96636 -0.5964 2.1346 -0.33769 2.4631 0.55003 0.67128 1.0211 -0.18265 -0.097205 0.6254 0.18048 0.34639 -0.80136 0.35322 1.0825 1.4332 5.2292 0.62336 0.70036 0.6687 -0.27179 0.064935 0.36772 0.81156 0.49914 0.63977 2.2767 -0.67849 -0.31774 0.67761 1.392 0.86852 0.76548 2.2127 0.50771 -0.36398 1.2332 0.11608 0.63796 1.6877 0.67084 0.23462 1.7842 2.1718 0.7933].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.1021 0.50587 1.2743 1.5371 -0.14158 0.016679 0.9361 0.019117 0.3119 0.14356 0.32119 0.2786 -0.11854 -0.21132 -0.058441 0.022471 0.12901 -0.070935 -0.12408 -0.24155 -0.45237 0.074432 0.018769 -0.76285 0.96204 -0.053197 0.47422 1.6087 0.12761 0.13052 0.11905 0.18334 -0.26069 0.25635 1.3478 -0.040882 -0.064862 0.70766 0.52547 -0.13364 -0.44048 0.63917 -0.10593 0.5669 -0.041186 -0.069081].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.072974 -0.16707 0.018256 0.04746 0.34582 0.029245 0.034163 0.012377 -0.24339 0.14367 0.17847 -0.24885 0.32318 0.022491 0.66252 -0.074575 0.058446 0.21034 0.014989 -0.41396 0.084838 -0.11108 0.13049 0.15388 0.22028 -0.34576 -0.047972 0.28132 -0.45095 0.10379 1.4975 0.19232 -0.13192 0.14706 -0.28768 0.67959 0.30596 0.066367 0.043284 -0.0084961 -0.20488 0.90615 -0.087866 -0.30089 1.8932 -0.0030888].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.051051 -0.7681 0.0069596 -0.033116 -0.1105 -0.0063822 0.088056 -0.096179 -0.012629 0.04601 -0.022931 -0.21419 -0.0089819 -0.058461 0.041585 -0.17995 0.034877 0.020618 -0.83871 0.05913 0.01357 -0.003245 -0.0093729 -0.039 -0.55606 0.10438 -0.083569 -0.13793 -0.11163 0.084318 -0.27188 0.034024 -0.044968 -0.040073 -0.28416 0.02436 0.082979 0.09176 0.28231 0.064031 -0.19387 -0.086507 0.016369 -0.014613 0.82411 -0.33626].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13136 -0.0075319 -0.063631 -0.32912 -0.41486 -0.19135 -0.2616 0.17007 0.14868 -0.0072473 -0.028344 -0.31804 0.31068 -0.015209 0.020195 0.14612 -0.030705 0.02295 -0.11414 -0.0032481 -0.013869 -0.050108 -0.0016071 0.024475 0.28762 0.010504 0.0454 -0.14413 -0.47855 9.7587e-05 -0.0764 -0.14235 0.016682 0.062388 0.11688 0.29243 -0.26882 -0.90981 0.0087898 0.0070974 -0.15125 0.14164 0.035689 -0.026631 0.1806 0.6464].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.24994 -0.041218 0.064266 0.39199 0.82801 0.2876 0.11583 -0.32703 -1.1434 -0.19521 0.016004 0.39523 -0.28689 -0.29228 -0.071833 -0.12029 -0.12009 0.016353 -0.23303 -0.14837 0.038105 0.046849 0.0097538 0.0044573 -0.0099563 -0.1223 0.0089371 0.064319 0.27115 -0.07301 0.35242 -0.044541 0.025643 -0.58727 0.10699 -0.015902 0.010224 0.8348 -0.18296 0.039053 0.44428 -0.079776 0.016617 0.026149 -0.05411 -0.17813].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.16327 -0.61263 -0.011234 -0.052145 0.18456 -0.078787 0.071432 0.20418 -0.43212 -0.21514 -0.018765 0.080337 -0.49299 0.29271 0.02966 0.16247 0.14221 -0.18349 0.075183 0.13046 -0.15422 0.0044675 0.0029589 -0.13018 -0.026706 0.01648 -0.016842 -0.16546 0.10998 0.052697 0.059449 -0.16461 -0.087972 0.11862 -0.9189 -0.58588 0.25996 -0.27902 0.11979 -0.043398 -0.12022 0.083299 0.015891 -0.026361 -0.015736 0.13729].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.17473 -0.17694 0.013306 0.060142 -0.0053012 -0.00019703 -0.025877 -0.14643 0.39597 0.21022 0.014451 -0.17477 0.52431 0.10805 0.037025 -0.077533 -0.071566 0.07153 0.032684 -0.076823 0.13742 -0.11344 0.0023657 0.049116 0.0097636 0.10604 0.0046879 0.25435 0.14509 -0.038848 -0.055648 0.22628 0.056941 -0.060384 -0.058949 0.022909 -0.51775 0.28453 -0.077825 0.017558 -0.33981 -0.12655 -0.009387 -0.0037556 0.13251 0.0023458].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.20005 -0.11255 -0.022063 0.02773 -0.050308 0.062523 0.098276 0.045419 0.57686 0.1119 -0.0038372 -0.40405 -0.018984 -0.031196 -0.035608 -0.027455 0.064969 0.096904 -0.13017 0.074854 -0.25271 0.11287 -0.030817 0.086886 0.021747 -0.039535 -0.026196 0.044414 0.055787 0.012303 -0.79448 0.048537 0.00067045 0.058293 0.011877 -0.20647 -0.0815 -0.10698 0.13577 0.04009 0.36725 0.02031 -0.066845 0.036777 -0.085278 -0.069843].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.44925 0.095277 0.0063797 -0.047349 0.027653 -0.084406 0.048772 0.19916 -0.93099 -0.17543 -0.032024 0.47821 -0.15401 -0.074684 0.045074 0.11129 0.0079095 -0.1536 0.011562 -0.35189 0.18924 -0.02712 0.012344 -0.016939 -0.085732 -0.0060878 0.010942 -0.11961 -0.043222 0.024906 -0.048836 0.049863 0.015321 -0.1767 0.042355 0.2194 0.15131 0.094074 0.01445 0.013383 0.006468 0.10213 0.040918 -0.078486 0.069115 -0.074145].
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 [0.0389 0.13281 0.10537 -0.1829 0.028947 -0.098427 -0.72223 -0.2095 -0.10176 -0.30559 -0.048697 0.14775 0.19133 -0.082577 0.028246 -0.14587 0.57116 1.607 -0.027177 1.5504 -0.50184 -0.020891 -0.064961 0.6416 -0.23037 0.74717 -0.11473 0.048725 2.2133 -0.084219 -0.68715 0.011204 0.47504 -0.091979 -0.12585 -0.0094915 -0.42701 1.6671 -0.023222 -0.20355 0.37209 0.5049 0.27552 -0.1606 0.070944 -0.043027].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17254 -0.75257 0.4649 0.472 -0.020132 -0.0010827 0.050905 0.017511 -0.0693 0.012817 -0.12521 -0.1562 -0.033003 0.072443 0.1157 0.0089668 0.51677 -0.10445 0.032597 -0.11023 0.091069 -0.14795 0.023876 0.03219 0.39645 -0.050121 -0.41114 -0.70555 -0.13801 0.043967 -0.084763 0.032993 0.2868 0.07432 0.20228 -0.18967 1.1447 -0.096351 0.19171 -0.047699 -0.0064519 -0.18974 -0.11709 -0.091443 -0.10133 0.63143].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.007428 1.0226 -0.036921 -0.060172 0.16764 -0.026844 0.39453 0.11822 0.46305 -0.10349 0.030869 0.057069 -0.047453 0.24707 -0.041076 0.094142 -0.07459 0.42537 -0.015515 -0.17487 -0.026853 -0.0056157 0.15795 -0.023765 -0.27528 0.032058 -0.08686 -0.057563 0.13675 0.082424 0.046519 0.11332 0.052858 -0.38641 -0.10356 0.015042 0.074319 0.071663 -0.21414 -0.18195 0.00063835 0.15662 0.050813 0.048512 -0.083436 0.13048].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.24243 0.12798 -0.076947 0.036283 -0.015941 0.043402 -0.045619 -0.024622 -0.42435 -0.13509 0.068951 0.2243 -0.59351 0.046231 -0.13112 0.060495 -0.11249 0.37717 -0.024677 0.15946 0.041757 0.36355 -0.09503 -0.12354 -0.06374 -0.25113 -0.032224 -0.67799 -0.95774 0.37933 0.10122 -0.21279 -0.12084 0.013713 -0.34382 -0.18499 0.056787 -0.0033248 -0.04692 0.27035 0.23695 0.23233 0.054157 0.080741 -0.028167 -0.088666].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.18458 -0.01101 0.071026 -0.14643 -0.070612 -0.022637 0.12033 0.047009 0.1854 0.12465 -0.083863 -1.0773 -0.088682 0.025308 -0.15362 -0.10325 -0.24792 -0.14096 0.017456 -0.12679 -0.095221 -0.67622 0.34628 0.09237 0.0071291 0.0077201 -0.012089 0.085649 0.34794 -0.10029 -0.43041 0.20543 0.1063 0.021148 -0.07525 0.17014 0.0065822 0.20974 0.06375 0.20278 0.057616 -0.15064 0.14368 0.12751 -0.13565 -0.0097416].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.026295 0.046891 0.01577 0.15207 0.11808 -0.050779 0.055448 -0.010702 0.22502 -0.053739 0.057263 -0.18959 0.015786 0.075642 0.21052 0.017156 0.10753 -0.32583 0.010528 0.089564 0.07182 0.081241 -0.12691 -0.04781 0.0040211 -0.68752 0.022062 -0.4592 -0.075191 0.17259 0.055935 -0.0035247 0.013234 0.035302 0.4247 -0.057282 0.081499 -0.03881 -0.10962 -0.12495 -0.52475 0.13529 -0.059966 0.042468 -0.60327 -0.16525].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0084299 -0.035364 -0.015448 -0.011953 -0.24757 0.079672 -0.1034 -0.11514 -0.52178 0.054463 4.8841e-07 -0.075846 0.0038668 0.0183 -0.072258 -0.011084 0.29035 0.22365 -0.00092294 0.048807 -0.14307 -0.29393 0.10615 0.061557 -0.015525 0.37243 -0.032386 -0.32914 0.099925 -0.85132 0.049597 -0.16397 -0.044733 0.001852 -0.46361 0.0010388 -0.014272 0.017083 -0.33846 0.059851 0.45259 0.0086427 0.15409 -0.034845 0.0083351 -0.076553].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.074954 -0.49009 -0.0454 0.015363 0.24618 -0.04701 0.071718 0.13394 -0.0079487 0.0025168 0.078577 0.26096 -0.0087675 0.03802 0.074994 -0.26008 -0.034163 -0.18056 0.0011221 0.027218 0.16188 0.22576 -0.14028 0.00078243 -0.034866 -1.6666 -0.025211 0.61948 -0.49193 -0.27747 0.64326 0.14748 0.043773 -0.057171 0.16068 0.1081 -0.15991 -0.46735 0.41778 -0.33568 0.00064815 -0.13904 -0.15883 -0.01933 0.051181 0.38491].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0068242 0.44581 0.046139 0.0090996 -0.20323 0.028035 0.0052256 -0.027291 -0.072119 -0.10608 0.022833 0.2066 0.0097204 -0.26024 0.082707 0.31143 -0.39009 0.21386 -0.081363 -0.029118 -0.044883 0.08201 0.2258 -0.00882 -0.12264 -0.11324 -0.029014 0.047167 0.55586 0.47102 0.0070729 0.018929 -0.0077897 0.051796 0.12352 -0.19576 -0.10187 0.38156 0.014541 0.30785 0.015952 -0.38808 -0.56416 -0.055057 -0.35434 -0.055738].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.015011 -0.33518 -0.15719 -0.11201 0.067041 -0.024601 -0.40653 -0.12623 0.074235 -0.051225 -0.017894 -0.54233 0.011643 0.018416 -0.0046054 -0.1364 0.15647 -0.26328 0.03978 0.013058 -0.11514 -0.043674 -0.12345 -0.0099574 0.15213 -0.19046 -0.011492 -0.11788 -0.58325 -0.54532 0.00021192 -0.029645 -0.0309 0.0037865 -0.16028 0.094615 0.19668 0.1392 -0.027122 0.13493 -0.35086 0.31115 0.44116 0.07241 0.51313 -0.23228].
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 [-0.29834 -0.036744 0.0022057 -0.13947 -0.069199 -0.0026719 -0.32987 -0.0069891 0.10353 0.057333 -0.019962 -0.00029267 -0.028901 0.91542 -0.081317 -0.025603 0.23471 1.7107 -0.072398 -0.084745 0.37973 -0.12665 -0.087178 0.12472 0.47399 0.082772 0.039004 -0.27932 0.7228 0.0033164 0.032759 -0.0047423 -0.18618 -0.018025 0.066247 -0.28392 -0.20162 0.15615 0.20663 0.1708 0.15046 0.12864 -0.023718 -0.0031323 0.022171 0.37455].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.48997 0.055757 -0.55038 -0.48966 0.15789 -0.033902 0.35736 0.24842 -0.23143 0.15713 -0.0044182 -0.057015 0.0021348 0.092779 -0.14414 0.083526 -0.39075 0.0048365 -0.029058 -0.027254 -0.020571 0.22251 -0.019 -0.21458 0.20507 -0.036825 -0.048588 0.59796 -0.035109 -0.034914 -0.11035 -0.77487 -0.56293 -0.27621 -0.49545 -0.59108 0.077978 0.60208 -0.12625 -0.047363 -0.88211 -0.23493 -0.12307 0.090224 0.0019769 -0.0034087].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.051888 0.2937 -1.8806 -0.12331 -0.074979 0.064319 0.14918 0.16386 0.0047522 0.29405 -0.0070837 -0.28907 -0.078936 0.24938 0.14148 0.14403 -0.013779 -0.77107 0.054807 0.15063 0.2735 0.15669 -0.063187 0.00064933 -0.46424 -0.047329 0.035663 -0.28613 0.11457 0.024596 0.22903 0.4642 -0.062714 -0.14483 -0.075101 -0.0092113 -0.26319 -0.44133 -0.061931 0.14148 -0.020116 0.0097284 -0.06465 0.14964 0.20611 -0.084018].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.068932 0.68731 -0.24643 0.05204 -0.085537 -0.0022044 -0.0028864 0.013519 0.0014909 -0.96163 -0.00259 -0.0030342 -0.015966 -0.12545 -0.070771 -0.0381 0.049634 0.055253 -0.59848 -0.17695 0.021119 0.17197 -0.58128 -0.091299 0.41847 0.07541 0.012161 -0.40061 0.16993 0.036092 0.25344 0.12156 0.088689 -0.062856 0.34436 -0.53628 -0.024149 -0.21439 0.060873 0.047168 0.024428 0.1177 -0.0051055 0.57351 0.02035 0.0084739].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.078982 -0.0039508 0.44485 -0.024603 0.03771 0.038259 0.0014772 0.049813 -0.7264 -0.27409 -0.16664 0.017574 -0.03169 0.080243 0.045105 0.047409 -0.096359 0.0098184 0.24632 0.12457 -0.020071 0.058874 -0.01773 -0.034714 -0.19089 -0.025628 -0.0017522 0.6176 0.03936 -0.27459 0.050571 -0.0041804 -0.020401 0.033602 -0.37666 0.022977 0.0049767 0.059091 -0.014184 -0.050434 0.033415 0.044682 -0.10797 -0.10061 0.17432 -0.0043483].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.20109 -0.088162 -0.33963 -0.25741 -0.048691 -0.030415 -0.0019862 -0.037655 0.50257 0.25943 -0.025795 0.0036813 -0.06708 -0.18356 0.0024238 -0.063122 0.27506 -0.13535 -0.27594 -0.13479 0.011345 -0.18562 -0.036388 0.15546 -0.59269 0.0047587 0.015563 0.001107 0.058593 0.17181 -0.15883 -0.014495 0.062102 0.014781 -0.31625 -0.085259 -0.039753 0.051103 -0.048993 0.054698 -0.003443 -0.10065 0.038634 -0.46771 -0.12659 -0.010591].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.19133 0.075454 -0.017731 0.039506 -0.22829 -0.06726 -0.056934 -0.053128 -0.095305 0.0081429 0.14212 -0.0073843 0.095985 0.19751 -0.015523 0.066424 -0.019266 0.19123 0.19938 -0.20029 0.0096293 0.061918 0.064223 -0.028511 0.80528 -0.1803 -0.012835 -0.17796 -0.26548 0.080898 -0.0063619 -0.17723 -0.00024038 -0.0068644 0.4209 0.07942 0.0016867 0.0039496 0.02591 -0.024597 0.007472 0.19015 -0.070327 0.55047 0.10306 0.015288].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0067107 0.019284 0.28765 0.19443 0.30866 0.11666 0.058866 0.06067 -0.075229 -0.0028433 0.13276 0.0094171 0.018907 -0.028634 -0.18596 -0.014167 -0.082215 -0.02863 -0.15411 0.32894 -0.0037121 -0.08336 -0.05865 -0.21753 0.063415 0.14083 -0.075246 0.080798 -0.2001 0.022544 0.17367 0.11502 -0.058366 -0.043505 -0.19187 0.0053961 0.010073 -0.177 0.032489 -0.083864 -0.18522 -0.056724 -0.049793 0.061396 -0.083403 -0.020372].
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 [-0.080508 0.6876 1.6417 -0.013652 -0.10415 -0.091523 0.07974 0.042472 0.3709 -0.25624 -0.13426 0.096976 0.0070998 0.88023 -0.1509 0.32683 0.32633 -0.23338 0.20734 0.065218 0.52597 -0.012288 0.15453 0.059859 0.1248 -0.30374 -0.058953 0.25206 -0.24202 0.23284 -0.018807 0.13921 -0.12049 -0.6083 0.015458 0.042139 0.14402 -0.22254 0.043485 -0.0083016 -0.83959 0.034665 0.081499 0.020655 -0.032705 -0.11717].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.33265 0.20113 -0.10112 -0.21068 0.12317 0.13068 -0.097873 0.019807 0.08545 -0.31661 -0.060236 0.031386 0.0071227 0.13596 0.37417 -0.0278 -0.3532 -0.1314 0.0010111 0.051103 0.36807 0.019938 -0.81971 -0.036392 -0.21182 0.19445 0.15478 -0.035304 0.62927 0.24046 -0.077951 -0.33556 0.13519 0.19095 0.096582 0.011534 0.13118 -0.20159 0.014551 -0.39203 0.41734 0.009415 0.045034 -0.30676 0.026184 -0.04401].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.51775 -0.031784 -0.15513 -0.27163 -0.51594 0.23594 0.17962 -0.044648 0.088267 -0.127 -0.010807 -0.33404 0.31623 -0.064591 0.25035 -0.026497 -0.19675 -0.051122 0.030822 -0.22678 0.32386 0.0047808 0.062812 -0.13149 -0.53277 -2.0734 -0.092114 -0.12566 -0.62047 -0.97312 0.27504 -0.18697 -0.12791 -0.582 0.017844 0.057636 -0.027185 0.057229 -0.021008 -0.006899 -0.018768 -0.33241 0.030735 0.0893 -0.083497 0.53226].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.39706 -0.57668 -0.089542 -0.19556 -0.26201 -0.43153 0.07496 -0.075523 0.43784 0.055666 -0.032673 -0.56359 -0.23331 -0.34195 0.13426 -0.080318 -0.24961 0.36414 -0.73335 -0.047735 -0.034158 -0.80848 -0.027483 -0.17591 -0.02361 0.67005 0.44448 0.022426 -0.90493 0.089417 0.048505 0.035191 -0.0077881 -0.050188 0.0023826 -0.04219 0.13302 -0.41758 0.028749 -0.015274 -0.017427 -0.13455 -0.3322 -0.074616 -0.95603 0.21341].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.32754 -0.1139 0.22623 0.11188 -0.52808 0.94098 0.092327 0.070957 -0.70007 -0.16327 -0.061314 -0.12233 -0.35549 0.55894 0.21285 0.03643 -0.18734 0.061764 0.051908 -0.054894 -0.14214 -0.016711 0.12964 0.19632 -0.15804 0.41746 -0.32792 -0.002892 0.54152 0.25302 -0.084839 0.15155 0.036471 0.042704 -0.012377 -0.25627 -0.015067 0.97638 -0.0037947 0.082018 0.034154 -0.012955 0.49354 0.071919 -0.094318 -0.12434].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.22053 -0.32969 -0.013069 -0.18338 0.15794 -0.026125 -0.011853 0.00085086 -0.068722 -0.26759 0.052877 0.086356 1.2092 -0.024211 0.014284 -0.071633 0.4315 -0.083848 -0.01348 -0.10907 -0.54282 0.0083784 0.0075921 0.017144 0.011069 0.44543 0.083548 -0.059437 -0.03439 -0.14785 -0.0072705 0.083361 -0.41049 0.02239 0.013681 0.21448 -0.055592 0.52263 0.029022 -0.051294 -0.047812 0.042784 -0.08871 0.018086 0.04598 0.25802].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.3916 -1.2548 -0.31296 0.21601 -0.40131 0.025921 -0.019414 0.02277 0.10413 0.41477 -0.0076693 0.014269 0.27842 0.047643 -0.11858 -0.02051 0.044277 -0.24462 -0.050633 0.20714 -0.22426 -0.032159 -0.12561 -0.032985 0.10448 0.2418 0.10173 0.049626 -0.09846 0.14795 0.15898 -0.24715 0.7735 -0.0012633 -0.00073254 -0.14942 0.060548 0.065754 0.060714 0.056226 -0.020987 0.098454 -0.019914 -9.6782e-05 0.048416 -0.63254].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.072576 0.1217 0.16032 0.072203 -0.017474 -0.19955 0.030361 0.0050025 -0.21582 0.0097566 -0.027002 -0.12314 0.14189 -0.0081036 0.18395 0.13523 -0.076946 0.24951 -0.012289 -0.19317 0.12041 -0.041501 -0.019906 -0.042973 0.027269 -0.80958 -0.16159 -0.016296 0.10092 -0.00025372 -0.20001 0.28612 -0.025129 -0.067123 -0.094743 0.22776 -0.29865 0.0080185 -0.085843 -0.098223 0.077485 -0.47022 0.045432 -0.24104 -0.40511 -0.024471].
# Iteration 9:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.090417 -0.20045 0.10057 -0.35845 0.32032 0.22798 -0.37061 -0.024149 0.14144 -0.11461 -0.018799 0.16052 -0.5618 0.013736 -0.33986 0.010214 -0.078212 0.043106 0.034058 0.13566 -0.3927 0.064128 0.086232 0.070816 -0.060561 -0.99443 0.074436 -0.035628 0.0029644 -0.067815 0.18878 -0.40858 0.045995 -0.004142 0.088441 -0.02231 0.33023 -0.52921 0.070348 0.080755 -0.0038789 0.40321 -0.088731 0.16148 0.37911 -0.021753].
# Iteration 10:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.024189 -0.030256 0.18462 -0.073428 -0.57253 0.0020172 0.031431 0.057821 0.068667 -0.37671 -0.013185 -0.16936 -0.063441 -0.014651 -0.18467 -0.05923 0.28808 0.045844 0.019423 0.03679 0.45849 -0.014333 -0.20299 -0.12643 0.039155 -0.07806 -0.15653 0.061188 -0.0099661 -0.060427 -0.0044941 -0.20281 -9.4436e-05 0.043352 0.0051232 -0.030973 -0.0057526 0.044624 -0.01611 -0.056737 -0.039081 0.012021 0.0026458 -0.56769 -0.076193 0.13182].
# 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/R102_d18O_stack.
-------------------------------------------------------------------------------------------
=>> PBS: job killed: walltime 86507 exceeded limit 86400