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R98.log
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node103.podcluster
< M A T L A B (R) >
Copyright 1984-2021 The MathWorks, Inc.
R2021b Update 1 (9.11.0.1809720) 64-bit (glnxa64)
November 2, 2021
[Warning: Unrecognized command line option: nospxlash.]
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: 40).
>> Number of workers: 40
>> >> >> >> >> >> -------------------------------------------------------------------------------------------
## 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 [25.97216 25.31668 9.883095 7.890958 7.633739 2.790437 23.91041 5.964988 21.91684 8.03051 28.1109 4.018904 5.587961 4.615611 0.05901759 1.517095 56.4747 4.785901 2.894059 17.95508 9.152436 9.553482 11.2144 16.08181 9.31863 29.99348 2.789951 6.851615 13.07261 2.449225 14.895 15.23375 1.312155 32.9465 14.02804 16.03932 13.78202 105.9022 41.92573 1.637472 46.94447 6.799288 4.67556 18.09476 2.773001 16.37583].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.7316 1.0821 0.32418 0.86227 0.13585 0.22684 1.0809 0.75309 -0.10055 0.78788 0.099868 0.089234 0.67284 -0.22913 -0.014746 -0.26334 0.64632 0.028746 0.2549 0.50333 0.79571 -0.178 0.41457 0.66682 0.315 0.99811 0.17939 0.069118 0.19602 0.31855 0.37666 -0.48444 0.83581 2.9654 0.017554 -0.431 -0.51804 3.8419 4.278 1.2542 3.6719 0.23067 0.25286 0.59177 0.75605 2.0402].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17416 0.056062 0.022815 0.63958 0.19896 -0.22004 -0.16487 -0.29674 -0.14277 -0.10595 -0.01592 0.013687 -0.37373 0.26481 0.21786 0.056577 0.10711 -0.096119 0.21297 0.062938 -0.017391 -0.074688 0.18187 -0.036751 0.1738 -0.066137 -0.032581 -0.016653 -0.4039 0.055152 0.15732 0.03739 0.0086776 2.353 0.42445 0.53824 0.12573 1.2725 0.12147 -0.37876 -0.34754 0.63694 -0.20296 0.02742 0.06051 -0.09442].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.056603 -0.41027 0.049912 -0.12418 0.011017 0.28055 -0.23224 -0.019224 0.21887 -0.068007 -0.18448 0.0012195 -0.22125 0.10278 -0.053965 0.1059 0.14628 -0.10746 0.14489 -0.11445 -1.1302 0.11179 0.011112 0.0058361 -0.24587 0.00059997 -0.12074 0.1595 0.29027 -0.081975 0.21519 0.19008 0.092412 1.0022 0.56366 -0.13039 -0.37447 0.067641 0.087131 0.05602 -0.017032 -0.57678 0.20908 0.17079 -0.048775 0.28765].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.024737 0.27451 -0.015542 0.063194 -0.061748 0.51903 0.19333 -0.036392 0.0063003 0.16558 0.22472 0.088257 -0.014345 -0.010053 -0.26633 -0.13385 -0.085851 0.053634 -0.021036 0.016579 0.098693 0.053812 -0.14969 0.0024626 0.053992 0.014778 0.072723 -0.17057 0.0052047 0.080791 0.13116 0.18838 0.097424 -0.18969 -0.073933 0.17379 0.27768 -0.0068347 0.21622 -0.040355 0.14778 -0.15805 -0.13409 0.20384 0.14656 -0.49946].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.12096 0.1436 0.0051046 -0.073284 0.061563 -0.087621 -0.061854 0.015366 0.022649 0.074851 0.11783 -0.44868 -0.26567 -0.016511 0.34207 0.14309 0.083856 0.042125 0.015497 0.072336 -0.0097575 0.020612 0.15472 -0.15713 -0.3896 -0.13274 -0.51257 0.083715 -0.048875 -0.010299 -0.017376 -0.8633 0.036277 0.47724 0.13527 -0.012687 -0.38416 -0.0086478 -0.097376 0.010241 -0.014425 -0.1057 -0.18858 -0.11326 -0.15645 0.4035].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1341 -0.06618 0.0065764 0.050207 -0.10093 0.36754 0.1171 -0.030908 -0.23468 -0.059624 -0.014727 0.18746 0.2806 0.02588 -0.064928 0.11457 0.0012584 -0.035765 -0.1483 0.072243 -0.031853 -0.13481 -0.0024395 0.079606 0.10172 0.13824 0.22111 -0.05441 0.032177 -0.023028 -0.36916 0.0087899 0.019039 -0.068231 -0.326 -0.001858 -0.51068 -0.072318 0.10931 0.026095 0.014576 0.27225 0.40231 -0.3877 -0.028721 -0.24367].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0058434 0.092632 0.0060806 0.018434 0.035749 -0.22714 -0.0022326 0.069907 0.23757 0.1354 0.038295 0.048105 -0.074446 -0.12388 0.034668 -0.050838 -0.00056868 -0.18813 0.13068 -0.07364 -0.0080641 0.082913 -0.070005 0.072613 0.093431 -0.1427 0.1633 0.48128 -0.18545 0.040518 0.014199 -0.0063225 -0.2429 -0.31169 0.45784 0.0097142 -0.03353 0.050744 0.0027513 -0.028091 -0.13379 -0.17326 -0.38697 0.54912 0.03793 0.49877].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.011281 -0.0081947 -0.001588 0.055036 0.065327 0.36028 0.040073 -0.048375 -0.013451 -0.078303 -0.041467 0.18239 0.10673 0.066651 -0.35798 -0.055883 -0.028133 0.20898 0.015027 0.06709 -0.10929 -0.2725 0.033744 -0.0059501 0.28296 0.13377 -0.14757 0.12483 0.041235 -0.062771 -0.044384 -0.029467 0.2553 0.34833 -0.34268 0.0083394 0.042845 0.033452 -0.0088302 0.032721 0.052669 0.078192 0.24211 -0.42277 0.23149 -0.48476].
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 [42.4251 32.4918 25.27 36.9295 18.6089 1.82949 42.2817 17.4274 45.0911 24.1593 19.0008 5.26276 13.14 5.99885 13.5686 5.55588 16.435 14.5071 12.6658 15.4233 8.33897 8.33337 1.91734 22.5638 33.4701 62.8171 7.94725 8.63123 12.0201 5.40699 25.0267 20.4459 11.0214 12.7835 22.1673 35.9395 25.5141 30.2338 49.4724 10.6792 56.6507 10.6224 7.21152 15.3683 32.4497 16.0297].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [5.38 3.6554 2.0095 5.8858 1.7144 -0.32696 5.8245 0.335 7.8193 1.278 0.75147 -0.07561 0.53281 0.91388 1.7462 0.47934 -0.15124 0.91156 0.43745 0.057955 -0.017661 -0.086009 -0.122 -0.063331 6.509 2.2652 -0.22039 0.056101 0.96955 -0.36734 2.4127 1.4528 -0.087349 -0.36534 0.93153 -0.75398 0.41127 1.0727 -0.26813 0.72011 4.2775 0.4417 1.2745 0.4 1.8593 1.2423].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [5.2831 1.2238 0.16479 0.6443 1.1244 0.12771 1.5078 0.69959 4.6938 0.36551 0.36803 0.36556 0.56936 -0.14769 0.85069 0.039236 0.091445 0.29484 0.18149 0.6098 0.32663 1.1961 -0.10902 0.19166 2.1906 2.4145 -0.066681 0.03505 0.48876 0.72964 0.64059 -0.57539 1.6501 0.034272 1.9529 0.089522 -0.084318 -0.23192 0.27494 0.10917 -0.11366 -0.19431 0.22535 -0.042608 -0.774 0.4852].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.20078 0.56722 0.30405 0.080888 0.31622 0.27667 0.4174 0.3018 0.021846 -0.048342 0.2197 0.029011 -0.10905 -0.10618 -0.38037 -0.16924 -0.0071588 -0.011376 -0.64598 0.31585 -0.012871 0.049749 -0.016524 -0.27575 0.24753 1.6085 -0.12078 0.089228 -0.0658 0.11315 0.76733 0.34973 -0.11452 -0.017145 0.072734 0.52357 0.93398 0.17112 0.07715 0.36787 0.29103 -0.20134 -0.012124 0.16094 -0.26975 0.013326].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.17024 1.4124 -0.13859 0.090894 -0.078109 -0.0077687 -0.2748 -0.1661 0.0063039 -0.014229 -0.029546 -0.20462 1.1274 0.073269 0.35956 -0.083602 0.010619 0.010902 0.05435 -0.011437 0.056363 -0.1689 0.038003 0.27535 -0.0098852 0.051341 -0.0055425 -0.048857 0.12879 0.092246 -0.041339 -0.003758 -0.058102 -0.50507 -0.027019 0.38596 -0.17699 -0.32665 -0.14693 -0.48026 -0.0052784 0.36538 -0.1806 -0.17445 0.073163 0.0489].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.28293 -0.1292 -0.14085 -0.025448 0.023674 -0.04122 0.15067 0.092632 -0.19966 0.076684 0.029509 0.10807 0.12009 -0.11195 0.030681 -0.054252 -0.084153 -0.049559 -0.17487 -0.1793 -0.010565 0.066367 0.014223 -0.837 -0.15001 0.15813 0.11485 0.030275 -0.086031 -0.13798 0.034437 0.010273 0.25968 0.057078 0.012252 -0.22398 0.023514 -0.19064 -0.58379 0.6893 -0.051262 -0.23931 0.12099 0.47659 -0.79131 -0.011887].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0014145 0.085155 0.19943 0.029485 0.053707 0.030478 0.066211 0.097649 0.26618 0.0013988 0.035651 0.10773 -0.0060963 0.086041 0.012284 -0.070689 0.073269 -0.095909 0.021823 -0.15788 -0.01477 -0.11541 -0.4914 -0.95329 0.10848 -0.12673 -0.13914 -0.033619 0.031504 0.11334 0.012431 0.0080261 -0.16272 0.066228 0.00014433 0.25335 0.10859 0.36511 0.091624 -0.092399 0.082019 -0.062545 -0.14222 0.064313 0.049867 0.011385].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.015512 -0.14066 0.022946 0.00093267 -0.0046414 -0.22736 -0.021788 -0.28484 0.043881 -0.0057351 -0.059436 -0.038086 0.053149 -0.274 0.034175 0.55476 -0.20617 0.11314 0.088541 0.35823 -0.0124 0.15395 0.48465 -0.18185 0.073848 0.046662 0.14861 -0.02326 0.096508 -0.22274 -0.12841 -0.15633 0.045767 -0.2124 -0.30535 -0.41606 0.039096 -0.49564 0.013912 -0.0086674 -0.1047 -0.022169 0.045237 0.010788 -0.077986 -0.19287].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.015461 0.15353 -0.16542 -0.081615 -0.011696 0.15774 0.017716 -0.19074 -0.14019 -0.050357 0.010683 0.039463 -0.02247 0.28066 -0.33404 0.70464 0.21195 -0.021881 -0.50201 0.13848 0.036619 0.049021 -0.24231 0.28749 -0.065811 -0.3488 -0.0052636 0.078782 -0.85351 0.22392 0.10731 0.16159 -0.14252 0.097967 0.30434 0.35961 -0.00023405 0.31841 0.021124 0.0092447 -0.1125 0.25094 0.083098 0.046788 0.11962 0.11082].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.58851 -0.013285 -0.87865 0.067369 -0.63925 0.023453 0.03193 0.57429 -0.079681 -0.10552 0.028449 0.0011396 -0.26053 -0.15495 0.092892 -0.041431 -0.065002 -0.009406 -0.034876 -0.24713 -0.0065036 -0.16538 0.19745 -0.70993 0.035511 0.34536 -0.092211 0.00065627 -0.094539 -0.10229 0.038636 -0.10898 0.034211 -0.26033 -0.064222 0.028764 -0.17039 -1.3099 -0.15524 -0.005437 0.21695 -0.20281 0.066278 -0.36869 -0.051514 0.071569].
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 [0.53933 0.073198 -0.058355 -0.74065 0.46263 -0.069067 -0.16779 -0.32041 0.14322 -0.18822 0.21154 -0.044278 0.18138 -0.032987 -0.059357 0.38961 0.85321 0.18071 -0.17733 0.27906 0.61548 0.4765 0.50009 -0.76844 0.47688 0.6297 0.13724 -0.099758 0.097894 -0.0051764 0.22075 -0.031364 0.15667 0.34257 0.042391 0.014796 -0.21702 0.06059 0.42511 -0.0078215 0.13948 1.0534 -0.0030465 -0.039453 -0.24365 0.13557].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0099347 -0.080708 0.92098 0.68672 -0.63004 -0.028013 -0.10314 0.33732 -0.22489 -0.067728 -0.21458 -0.099145 0.078953 -0.083974 -0.72695 0.2483 0.083641 0.068004 0.07109 0.23668 0.075899 0.03268 0.0012981 0.59507 -0.0042981 0.2546 0.082976 -0.11579 -0.24537 0.28345 -0.1549 -0.27469 0.18926 0.1663 0.33524 -0.098289 0.058071 -0.044018 0.1921 -0.10281 0.057439 -0.0091469 -0.2411 0.00090155 -0.086109 0.31913].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.8257 0.035516 0.059936 0.043458 -0.015706 0.27965 -0.18052 -0.19046 -0.4001 -0.29648 0.036844 -0.62473 -0.38227 -0.36335 0.24312 0.048597 0.087802 0.0040817 -0.016542 -0.0066641 0.077109 0.062879 0.040623 0.21388 0.10674 0.019025 0.86253 0.35888 -0.18474 -0.15245 0.43698 0.037767 -0.0032177 0.26378 0.0022194 -0.014192 0.3136 0.10724 0.19246 0.012931 -0.017945 0.36068 -0.030395 -0.0088952 0.12153 -0.071654].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.063572 0.042738 0.02704 -0.05593 -0.48417 -0.021579 -0.36471 -0.5111 0.9556 0.10189 0.076968 -0.3289 -0.040915 -0.0044845 -0.034877 -0.4146 -0.013544 -0.043811 -0.050995 -0.11631 -0.058199 -0.13115 -0.14353 0.08061 -0.046999 0.014339 0.16435 0.20129 0.18467 -0.2173 -0.086689 0.56716 -0.4526 -0.23765 -0.2917 -0.34502 0.34539 -0.70662 0.56713 -0.048277 -0.43827 -0.018714 0.15203 0.2563 -0.018479 -0.054118].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.20576 -0.15344 0.0084173 0.10255 0.50563 0.060708 0.10985 -0.042471 -0.011535 0.00039635 -0.20731 0.40336 0.20214 -0.01256 0.042451 0.34946 0.045734 -0.11507 0.021172 0.1064 0.013769 0.08214 0.08324 -0.1057 0.06373 -0.11633 -0.056359 -0.12186 0.0019807 0.39552 0.18428 -0.0020656 0.48715 0.61551 0.27586 0.014745 -0.010495 0.088913 -7.4198e-05 0.40699 0.036585 0.039355 -0.029657 0.21741 0.0070137 0.21091].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.35573 0.20493 -0.39696 0.0023953 -0.10634 -0.037856 -1.0138 0.037229 -0.008564 -0.12845 0.17417 0.099661 -0.15465 0.011759 -0.34407 -0.097285 0.013151 -0.072065 0.1285 -0.30894 0.062795 0.30386 -0.1426 0.095788 -0.18571 0.1061 -0.031107 0.1227 -0.091016 -0.28056 -0.21055 0.008586 0.085438 -0.92529 0.39759 0.14687 -0.0036045 -0.10522 -0.13205 -0.2602 0.2646 0.015033 0.20376 -0.31306 0.046214 -0.24282].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.21925 0.012943 -0.071559 -0.002167 0.13904 0.03829 0.2142 -0.128 -0.0045059 0.12727 -0.048007 -0.69916 0.17253 0.0046558 0.39362 0.0022003 -0.05722 0.16175 -0.26193 0.21572 -0.024813 -0.28933 0.19901 -0.76277 0.12476 -0.006743 0.10088 -0.63314 0.029632 -0.0028997 0.30465 0.014634 -0.61333 -0.23377 0.17023 0.051902 -0.033934 -0.47085 0.12693 -0.091977 0.043513 -0.090053 -0.73982 -0.17434 -0.15609 0.22385].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.31035 0.014191 -0.16856 -0.057237 0.051741 -0.0053273 -0.074187 0.12355 0.0071277 -0.48032 -0.072326 0.078164 -0.39541 -0.0098058 -0.4516 0.17512 0.097992 0.040667 0.41458 0.088698 0.01373 0.25965 -0.087368 -0.043986 0.073937 -0.12384 -0.038617 0.43782 0.04376 0.18028 0.057477 -0.046391 0.22036 0.023445 -0.57918 -0.12194 0.046508 0.64306 0.12397 0.17562 -0.56791 0.057581 0.11329 0.20381 0.024147 0.040491].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.31489 -0.12046 0.35424 0.024061 0.19237 -0.092105 0.088897 0.0052954 -0.27599 0.27365 0.35888 0.052738 -0.055183 0.0014714 0.44009 0.024151 -0.19002 0.0073096 -0.82438 0.014962 -0.14266 -0.17657 0.096238 -0.32171 -0.02092 0.18321 -0.17062 -0.30202 -0.0062601 -0.18599 -0.0008163 0.041596 -0.48503 0.13363 0.23438 0.10202 -0.48894 -0.52637 -0.15709 -0.23811 -0.048429 0.023297 -0.030787 0.21876 -0.37832 -0.23422].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.040122 0.0036736 0.27427 -0.079477 -0.60116 -0.008437 0.0098139 -0.069643 0.14428 0.063617 -0.17138 -0.080092 -0.092736 0.0043453 0.012084 0.12957 0.18511 -0.20258 0.056198 -0.0017006 0.15719 0.15472 -0.00087682 -0.12607 -0.17442 0.0095011 0.12397 0.10095 -0.49349 -0.010719 -0.16373 -0.1595 0.19638 -0.24268 -0.074221 -0.047285 0.30291 0.205 0.16221 0.30075 0.33438 -0.11739 0.034873 -0.47026 0.48052 0.254].
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 [0.01609 -0.0083615 -0.024693 -0.73283 0.51318 -0.16883 0.13064 -0.085676 -0.32629 0.60909 -0.051583 0.62483 0.033243 -0.059887 -0.15607 0.06317 0.36369 -0.00099585 0.056758 -0.016016 -0.51626 0.035475 0.35783 1.6613 -0.23728 0.47066 -0.10092 -0.074958 0.43228 0.22259 0.035246 -0.11344 0.31009 0.25303 -0.21789 -0.18988 -0.13028 0.3615 0.048934 -0.1506 -0.012082 -0.068822 0.46074 -0.98921 0.64926 0.41538].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.94769 -0.1035 -0.04741 0.10367 0.098469 0.0048201 -0.21032 0.089845 -0.33068 -0.058285 0.0085642 0.0142 0.022705 0.22778 -0.062743 0.1237 0.0063826 -0.04539 0.034221 0.064923 0.26825 -0.035731 -0.05528 -0.11477 -0.020253 -0.051785 -0.0058255 -0.34777 0.10467 0.2693 0.46677 0.28872 -0.0048133 -0.04359 -0.072085 -0.0018298 0.52266 -0.0034013 -0.016728 0.22813 0.51153 -0.37016 -0.044261 -0.080071 -0.34566 0.2514].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.042127 0.19933 -0.34446 -0.3454 0.40537 0.20425 -0.41636 -0.070776 0.052523 0.0066358 -0.06128 -0.056073 1.016 -0.15847 -0.036612 -0.15997 -0.16638 0.0072872 -0.15041 -0.020525 0.37511 0.078756 -0.08409 -0.23614 -0.33634 -0.070456 -0.029856 -0.012421 0.34958 0.15694 0.011382 0.012998 -0.43522 0.050602 0.073294 0.020053 0.013569 0.00023477 0.37315 0.014104 0.3607 0.00038297 0.0079165 -0.0012555 -0.58534 -0.37553].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.22841 0.029357 -0.15141 0.25215 -0.060873 -0.026213 0.13641 -0.06411 -0.25011 0.12851 0.042905 0.9695 -0.19095 0.035061 -0.16644 0.015693 -0.29417 0.060526 -0.06289 -0.081206 0.024478 -0.013861 0.031384 0.11521 0.059739 0.25066 0.056714 0.44222 0.12174 0.048626 -0.07372 0.1199 0.2731 0.40074 -0.68661 -0.090166 -0.46913 1.2197 0.09955 -0.093199 -1.3594 -0.03531 0.080934 0.013303 -0.066379 0.51307].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.2173 0.036401 0.23676 -0.02727 0.080504 0.029897 -0.020267 -0.038545 0.28586 0.0061486 -0.14817 -0.10298 0.16108 0.061786 -0.19233 0.0097628 0.35831 -0.72364 0.054164 0.067832 -0.0064616 -0.021854 -0.0061923 -0.019986 0.0048699 -0.63983 -0.42461 -0.48757 -0.18223 -0.38929 0.059042 -0.75253 -0.24247 -0.26992 -0.22601 0.22744 -0.45111 -1.046 0.28728 -0.12097 -0.44636 0.019349 0.05578 0.1962 -0.072858 0.11744].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.13637 0.00073812 -0.26 0.039539 -0.1019 -0.044792 -0.28386 0.15343 -0.19425 -0.067634 0.057626 -0.020789 -0.10366 -0.013044 0.18513 0.04165 -0.18486 0.057924 0.010738 -0.19441 -0.024332 0.010401 0.035126 -0.21004 -0.017917 -0.21351 0.38328 0.35968 0.074573 -0.22032 0.0058005 0.76616 0.20873 0.2633 -0.050173 -0.13484 0.043699 0.54747 -0.16116 0.064462 0.057927 -0.030724 -0.19786 -0.27685 -0.011114 -0.22588].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-1.1075 -0.00080495 0.26238 0.0074039 0.10598 0.019283 0.10776 -0.01108 0.29384 0.042139 0.10571 0.0074629 0.0099084 0.0068802 -0.025307 -0.0083277 0.042272 -0.050258 -0.0021081 0.21203 0.040095 0.00043755 -0.11685 -5.1364e-05 -0.18848 0.26822 -0.0054922 -0.22858 0.1308 0.79687 0.058053 -0.18734 -0.11541 0.16512 -0.37111 -0.83523 0.45734 0.030637 -0.18651 -0.031807 -0.29911 0.038017 0.22293 0.10454 0.070608 0.16187].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.084253 -0.12551 -0.036974 0.0093249 -0.10624 0.011905 -0.20289 -0.0063021 -0.19245 0.19738 -0.076195 0.077706 -0.12766 -0.042452 0.011984 0.078727 0.082623 0.01957 0.00080918 0.010139 -0.052681 -0.01112 0.11477 0.23501 0.14455 -0.58601 0.017516 0.040513 -0.02728 -0.19601 -0.032529 0.2154 0.2095 -0.35939 0.51859 -0.40607 0.16416 -0.2866 0.38539 0.054739 0.18573 -0.023035 0.15847 -0.090817 -0.043362 -0.049103].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.070292 0.12294 0.041018 -0.0067524 0.085801 0.0050811 0.55067 -0.022695 0.12302 -0.029887 0.030734 0.0094289 0.11573 -0.086496 0.019226 -0.01395 0.071441 0.030073 -0.05287 -0.057418 0.015756 0.02696 -0.068648 0.0018835 -0.021201 -0.61547 0.024784 -0.089834 -0.36639 -0.16746 -0.24712 -0.30192 -0.22871 -0.16407 -0.69852 0.38929 -0.47581 0.28716 -0.56919 0.098596 -0.092838 -0.023342 -0.24494 0.16767 0.042741 0.0023869].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.19426 -0.059633 -0.0039671 -0.0089006 -0.13507 0.0078047 0.2082 0.014393 0.0379 -0.21022 -0.012701 -0.023056 0.21451 0.11545 -0.11219 0.15393 -0.013934 -0.010429 -0.0112 0.057237 -0.031249 -0.018174 -0.035415 0.0016074 0.0019564 -0.093155 -0.12507 0.14451 0.37848 0.21798 0.22491 0.29434 0.050663 0.29655 0.34148 0.019654 0.18159 -0.26693 -0.2415 0.20016 0.51566 -0.046166 0.22145 -0.27433 -0.014899 0.12885].
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 [-0.36694 -0.45543 -0.037317 -0.13044 -0.018187 0.20362 0.090692 0.15697 -0.051676 -0.34016 -0.29151 -0.082461 -0.71953 0.031179 0.21836 0.04696 -0.16617 0.017241 -0.1672 0.10405 -0.25156 0.013186 -1.2397 0.10761 -0.24011 0.45005 -0.087842 0.087358 0.089527 0.056476 0.018549 -0.10536 0.24322 -0.091139 -0.14065 0.02523 0.31695 -0.21018 -0.19003 0.99837 -0.1917 -0.072772 -0.0020261 -0.21198 -0.066414 -0.085397].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.36395 -0.84015 -0.81378 0.017136 -0.077453 0.054247 -0.081799 0.020378 -0.025825 0.10604 -0.15265 0.045349 -0.16499 -0.044481 -0.14344 0.36828 -0.084097 -0.022828 0.025406 0.44431 -0.15052 -0.053842 0.014242 -0.016976 -0.46255 0.015547 0.030469 -0.15814 -0.23577 -0.1523 -0.063966 0.029745 -0.19228 -0.031492 -0.26825 -0.18503 -0.049507 0.23143 -0.043442 -0.13815 -0.0326 -0.13191 -0.031839 0.27957 0.73239 0.001606].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.75552 0.56697 0.15769 -0.22239 -0.059327 0.36367 -0.11401 -0.4497 -0.16864 0.16623 -0.15231 -0.11774 0.063172 -0.011488 -0.43212 -0.03901 0.016762 0.04562 -0.23785 0.062843 0.10548 -0.040233 0.066984 -0.13149 0.68411 -0.062677 -0.022631 -0.014837 0.071172 0.217 0.070296 -0.089977 -0.062888 0.94543 0.043873 -0.31256 -0.06436 0.014663 -0.082402 0.023525 -0.020795 -0.077085 0.032051 -0.040428 -0.069303 0.087742].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.25234 -0.030581 -0.052445 0.19329 -0.02469 -0.036754 0.012319 0.42464 -0.22752 0.40024 0.089472 0.093108 0.22755 0.081344 0.21345 -0.027444 -0.04507 0.11452 0.028071 -0.31317 0.36537 -0.067425 -0.037308 0.047637 -0.88639 0.067391 -0.044448 0.017359 0.16065 0.26395 -0.57801 0.090227 -0.29478 0.29948 -0.010261 -0.51348 -0.12841 0.1183 -0.24832 -0.021489 -0.5025 0.089948 -0.18135 0.33446 0.09134 -0.012698].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.031313 0.17083 0.011725 -2.2392 -0.012578 -0.027036 -0.014263 -0.078255 0.12934 -0.42046 -0.23186 0.053939 -0.55615 -0.21592 -0.10773 -0.01017 0.064703 -0.17096 0.0084098 0.49429 0.27472 0.095668 -3.2886e-05 0.0045236 -0.51253 -0.031095 -0.053653 -0.14148 -0.14576 0.021014 -0.41519 0.01776 0.65139 -0.10654 -0.037579 0.074005 0.1097 -0.022032 0.2577 -0.0036932 0.038585 -0.11575 0.31139 -0.057483 -0.21732 0.34251].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.19815 -0.86293 -0.012741 0.094846 0.077996 -0.083057 -0.034935 0.19768 -0.020567 -0.10046 -0.034977 0.53735 0.53419 0.20904 0.13852 0.056119 9.0109e-05 0.10158 -0.0062115 -0.097004 -0.44248 -0.0056715 0.055122 -0.020353 -0.23929 -0.17743 0.040687 0.32071 0.080901 -0.63745 0.80247 0.17746 -0.028969 0.13699 0.00066798 -0.059152 -0.10441 -0.059329 -0.29528 0.032034 -0.49374 0.10464 0.037442 0.059425 0.020623 0.026659].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.20243 0.55724 -0.39469 -0.04746 0.0010478 0.07762 -0.007717 -0.3156 -0.098005 0.42483 -0.0018311 -0.0013595 -0.015514 -0.011639 0.0034496 -0.024839 -0.040279 -0.25212 -0.032781 -0.058397 -1.0887 0.00089827 -0.1037 0.014029 -0.023453 0.15735 0.016847 -0.46414 0.0090183 -0.027582 -0.2842 -0.162 -0.16962 -0.19712 0.012215 0.047033 0.1527 0.050302 0.25268 -0.00032194 0.34574 0.049763 -0.17182 -0.31352 0.29858 -0.49282].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.098944 -1.2755 0.41799 0.069863 -0.11176 0.047995 0.044854 -0.07831 0.10019 0.0062888 0.12263 -0.010412 -0.050428 -0.001043 -0.1138 -0.011477 0.038566 0.04282 0.038529 -0.19637 0.24339 -0.025284 0.1869 -0.0080073 -0.053913 0.10608 -0.0037392 0.53139 -0.21219 0.03576 -0.32021 0.18409 0.21243 0.19186 0.0322 0.015933 -0.0076391 -0.01997 -0.0427 -0.068901 -0.21778 -0.01354 0.18618 0.06901 -0.33252 0.31747].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.37226 -0.048596 -0.014382 -0.20254 0.10281 -0.01006 -0.078752 0.4221 -0.021476 -0.61914 0.14478 0.014856 0.07145 0.042242 0.10884 -0.064464 0.0088479 0.26964 -0.00063316 0.32217 0.1378 0.028306 -0.10107 -0.072645 0.61723 -0.40105 -0.0048529 0.27429 -0.097116 -0.046332 0.61783 -0.27967 -0.042659 -0.18015 -0.32141 -0.023892 0.0053325 0.01138 0.0099061 0.039758 0.28511 -0.13083 -0.0049406 0.17474 -0.24723 0.02304].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.08709 0.139 0.053683 0.22985 -0.063463 0.0037205 0.086934 -0.42054 0.10553 -0.64107 -0.15715 -0.18163 -0.046274 -0.14226 -0.032385 0.10365 -0.032666 0.038289 -0.012476 -0.3594 -0.085626 0.00035053 -0.0073928 0.097148 0.3116 0.33429 -0.0079872 0.025935 0.077798 0.021611 -0.24772 0.31699 -0.035665 0.10563 0.2882 -0.049936 -0.090233 -0.12984 -0.17854 0.015391 -0.0017409 0.13192 -0.14742 -0.38195 0.55789 -0.84743].
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 [0.16529 0.099373 -0.058419 0.072052 -0.42225 0.046304 -0.008146 -0.13763 -0.021959 0.19087 -0.00385 0.77967 0.1832 -0.17032 0.045932 0.061779 -0.14251 -0.025794 0.10223 -1.8876 0.018974 -0.038368 -0.30352 -0.083537 -0.11828 0.059788 -0.022348 -0.0017359 -0.33023 0.14105 0.30066 0.11481 -0.22211 0.037356 0.22616 -0.00051908 0.45286 0.35261 0.22045 0.40579 -0.26039 0.073605 -0.017112 0.0059206 -0.96658 -0.76793].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.84823 -0.15892 -0.43751 0.049179 0.36127 -0.032641 0.013085 0.069292 -0.57232 -0.13584 -0.50079 0.015016 -0.11864 -0.22814 0.15727 -0.18895 0.079334 -0.087006 -0.0066314 0.40454 0.19539 -0.048326 0.0030693 -0.022742 0.43098 0.51576 -0.014699 -0.035665 -0.6859 0.081684 -0.038369 -0.00019954 -0.013357 -0.05754 -0.19492 -0.5854 0.079107 -0.23927 0.19914 0.0031274 -0.098374 0.078231 -0.047932 -0.11016 0.096304 0.022871].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.18394 -0.25771 -0.008372 -0.48988 0.021277 0.012745 -0.01314 -0.55738 -0.82118 0.30532 0.25322 0.030931 0.028973 -0.085289 -0.016896 -0.23484 0.056041 0.11341 -0.098979 0.074665 -0.014028 -0.019082 -0.04559 -0.11903 0.041111 0.092963 0.30248 0.099975 0.0026764 -0.12278 -0.060068 0.089495 0.035517 -0.072992 -0.12123 -0.20139 -0.0069154 0.0087477 -0.10007 -0.44877 -1.1052 0.036145 0.27181 -0.22952 -0.07542 0.15053].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.80784 -0.28365 0.33826 0.058339 -0.3832 -0.64276 0.15255 -0.51379 -0.029913 -0.39523 -0.38837 0.02549 -0.39269 0.082806 -0.27162 1.0753 -0.022481 -0.076008 -0.00035776 0.10134 0.42877 0.0054522 0.12191 0.098763 0.03058 0.040866 -0.012755 0.16416 0.093641 0.035623 -0.26265 -0.099324 -0.24806 -0.10065 0.1652 0.06786 0.042535 -0.082811 0.25478 0.078528 -0.43837 0.0042468 -0.089774 -0.58321 -0.022445 0.15869].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.23755 0.19203 -0.075677 -0.034444 0.52615 0.064972 0.78177 -0.0049468 -0.28179 0.49177 0.27657 -0.0046292 0.37836 0.23219 -0.16436 -0.20411 0.24289 -0.16683 -0.0017924 -0.36642 0.22368 0.0027854 0.041528 -0.28611 0.038085 -0.16709 -0.055686 0.058685 0.0042888 0.00268 0.2914 0.029446 0.34817 -0.029981 -0.17165 -0.046496 -0.0083723 -0.29177 0.0088399 -0.0026084 0.27945 -0.011328 -0.048419 -0.14281 0.016003 0.01874].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.045913 0.054144 -0.059264 0.008236 0.056697 -0.10553 -0.053025 -0.00031423 0.27152 -1.2935 0.039521 -0.035242 0.015988 -0.22806 -0.052531 0.16698 -0.54745 0.17855 0.0051337 0.19458 -0.16869 -0.040377 0.0082754 0.33656 0.19602 0.11836 0.062297 -0.0024219 -0.23509 -0.0014918 -0.13339 -0.064886 -0.29595 -0.01167 -0.14925 0.047206 -0.17956 0.60454 -0.080753 0.33619 -1.4749 0.013405 -0.3147 0.47517 0.014437 -0.025757].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.18509 -0.33421 0.060276 0.021816 0.24472 -0.48699 -0.56522 -0.020416 0.0038077 -0.11051 0.0045419 -0.09696 -0.2348 0.1905 0.29605 -0.0036277 -0.28759 0.0086156 -0.039357 -0.095111 0.10404 0.036854 -0.020823 0.07935 -0.25777 -0.10623 0.019096 -0.37534 -0.14312 -0.003931 0.13829 0.27801 0.088941 0.12776 0.30513 -0.080301 0.20722 0.15031 0.053195 -0.44447 0.159 -0.070007 0.50227 -0.42349 -0.076005 -0.041704].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17449 0.3722 0.063876 -0.29523 0.043303 0.66285 0.36896 -0.015179 -0.022009 0.1256 -0.027711 0.11271 0.18017 -0.23762 -0.093191 -0.00094175 -0.31281 0.14575 0.038968 0.057688 -0.080278 0.0031738 -0.19131 -0.44762 -0.17758 0.14739 0.0075149 0.32323 0.3357 0.005509 -0.011168 -0.094651 -0.29064 -0.51406 0.017996 0.073283 -0.044546 -0.10674 -0.088603 -0.0654 -0.31906 0.070024 0.12743 -0.184 0.027771 0.017837].
# Iteration 9:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.033733 -0.27377 -0.1326 0.094158 -0.26332 0.073076 -0.18247 0.033273 -0.00059052 -0.086644 -0.056153 -0.09764 0.063766 0.25636 0.23161 -0.26249 0.47756 -0.11174 -0.013614 -0.53658 -0.065322 0.0045605 0.14984 0.29348 0.68929 -0.15561 -0.072169 0.11484 0.023479 -0.054349 -0.032149 0.16495 0.54887 -0.019319 -0.11744 -0.045128 0.055985 -0.45769 0.10326 0.23378 -0.046399 -0.11464 -0.12309 0.19211 0.024774 -0.031303].
# Iteration 10:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.23821 0.28252 0.038135 0.18703 -0.015611 0.0061146 0.1215 -0.045282 0.021017 -0.12145 -0.017127 0.037481 -0.0021915 0.0232 -0.11944 0.2342 0.073118 0.030611 -0.15864 -0.16657 -0.18239 -0.01722 0.036401 0.14039 -0.067621 0.1659 0.038073 -0.43347 -0.064845 0.055078 -0.051842 -0.18845 -1.3852 0.069713 -0.30094 -0.072047 -0.10975 0.56648 0.00054832 0.20867 0.35845 0.068508 0.060843 0.32486 -0.059136 -0.00062733].
# Parameters are learned. Sampling algorithm is now running...
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# Results and figures are being stored...
Done.
Results and figures are stored in Outputs/R100_d18O_stack.
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