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R38.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 [24.79465 15.40773 31.45206 37.98404 81.12511 80.01542 41.34584 28.1207 7.757214 38.74558 4.404641 17.4861 14.42782 16.04214 115.1569 5.039973 12.40373 16.11593 23.50073 53.88395 99.19536 75.10966 37.09189 11.25931 27.62852 16.62303 60.65833 130.632 18.80599 7.96015 4.957098 40.08491 42.39326 36.74342 9.336548 1.916421 3.888173 15.98343 13.83546 73.53753 66.22496 95.03345 109.203 42.89456 70.14828 53.18974 41.1408 38.85713 252.2369 78.70422 39.75471 8.878056 6.716154 11.10284].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.98526 0.0877689 -0.0107893 0.11974 0.417461 0.298218 0.171299 0.833048 0.071177 0.391888 0.382511 0.986144 0.514478 0.193276 3.3974 0.107851 0.0680653 0.824739 -0.273706 0.485118 0.850524 0.272554 0.388165 -0.00980891 0.330512 0.338302 0.677057 1.27546 0.648463 -0.179189 0.0927197 0.526222 1.42142 0.346149 -0.158768 0.0323251 0.0696361 1.75943 -0.0369682 6.27172 0.628072 0.66587 1.26841 0.350462 -0.0717419 -0.170693 0.177278 0.170643 10.5969 2.99964 0.507492 0.90045 0.0554773 0.338129].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.026997 0.017376 -0.027475 -0.036459 0.20995 0.02497 0.0093167 0.051156 -0.010947 0.021502 -0.0092572 -0.041212 -0.39656 -0.1578 0.14219 -0.029455 -0.46911 0.18816 -0.00019758 -0.037357 0.61267 0.0014212 0.18293 0.13131 -0.089064 0.15078 0.019356 0.16694 -0.26578 -0.13584 0.02079 0.070283 0.28595 -0.0032125 -0.10005 -0.038511 0.24755 0.35458 0.1003 0.15772 0.007953 0.071554 0.20947 0.12599 0.047373 -0.012643 0.0092148 0.016006 0.078762 -0.0060932 0.15852 -0.39131 0.025645 0.073718].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.13485 0.22548 0.14988 -0.11521 -0.19001 0.079638 -0.13852 0.131 -0.025975 0.052733 -0.060553 -0.60791 0.24574 0.00095559 0.17621 -0.14374 -0.0087365 0.22778 0.10857 0.030694 0.25596 -0.34079 -0.60826 -0.028966 0.33605 0.011563 0.048981 0.22731 -0.16386 -0.16623 -0.020376 0.16865 0.19886 0.11998 0.0070336 0.047672 -0.0042059 -0.0858 -0.015404 0.02751 0.003976 -0.023041 -0.12154 -0.059118 0.11032 0.010348 -0.027511 0.028014 -0.038886 0.23712 -0.5076 0.12803 -0.072497 0.0060357].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1135 -0.10478 -0.14887 0.099427 0.11826 0.044591 0.19369 0.014289 -0.053909 -0.057085 0.045285 -0.40194 0.07575 -0.0013164 -0.016652 -0.099174 -0.0069986 -0.44966 -0.16641 -0.0098688 0.017582 0.17178 0.10084 0.04913 0.052009 -0.028297 -0.14223 0.019192 0.05301 0.2401 -0.027587 -0.084344 -0.50191 0.012175 -0.057804 0.028195 -0.002132 0.085384 0.080526 0.021098 -0.03919 -0.12101 0.01817 0.035533 -0.024605 -0.010538 0.076241 0.12973 -0.026263 0.014632 -0.5207 -0.17824 0.34698 0.0067712].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.029015 -0.12144 -0.011965 0.084529 -0.070581 -0.018403 0.00047087 -0.1731 0.043568 0.033293 -0.11099 0.32109 -0.42445 -0.12698 -0.22337 0.11759 0.0087925 0.078067 0.03411 -0.16325 -0.2382 0.28159 -0.30139 -0.002899 -0.15535 0.006259 -0.013079 -0.0029647 -0.25511 -0.1141 -0.025749 -0.097268 -0.096656 -0.016043 0.05813 -0.017219 -0.056892 -0.025414 0.13276 -0.33863 -0.037861 0.29468 0.10304 -0.013443 0.083139 -0.070591 0.004967 -0.0031575 -0.18409 0.18933 -0.007182 -0.1598 -0.067743 0.0082341].
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 [17.7851 19.5187 21.5206 35.3133 53.2818 62.1562 16.3819 23.6477 4.85614 40.8061 5.32018 29.4748 13.2723 14.4199 68.0267 3.50705 21.4667 2.68363 17.035 32.4764 54.2125 47.7504 31.3254 33.167 28.8487 30.6512 51.3373 51.2299 25.7888 7.66722 1.20429 28.4027 16.2389 2.69754 20.5821 1.34469 2.60386 6.67459 13.5422 27.6259 27.5771 63.4591 78.1045 19.7231 38.5906 8.49909 23.4361 22.9389 4.6114 43.1443 37.2761 47.6338 16.1818 10.5247].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.41222 0.22955 0.011855 0.46069 1.321 0.59298 0.11154 0.76281 -0.045161 1.1979 -0.11015 2.1949 0.26856 -0.20736 1.8778 -0.26383 0.82781 -0.045699 0.98052 0.00049676 0.54647 0.95819 0.84074 -2.0886 0.32254 1.1407 2.6992 1.4349 1.6356 0.60151 -0.11201 0.38386 -2.0185 -0.039135 0.26888 0.040112 0.40518 0.1748 0.4729 0.51868 1.2248 0.9665 0.30231 0.32897 0.42315 -0.0090278 0.30779 0.11413 0.026216 0.029444 1.081 0.94494 -0.22811 -0.06777].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.025533 0.12871 -0.025439 -0.50997 0.38786 -0.0094964 0.040522 0.095824 0.011696 0.23044 -0.057311 0.021941 -0.023976 0.00086277 0.25339 0.021361 0.04402 -0.28552 0.014458 0.038362 1.2022 0.25687 0.094885 -0.20494 0.043565 0.038356 -0.0034423 0.018179 0.23364 -0.15619 -0.00081992 0.41532 -0.085195 0.079788 0.010108 0.010864 -0.0020688 0.06089 1.0666 -0.07104 0.00051186 0.092208 -0.029845 0.32616 0.020333 0.031973 -0.16339 0.075053 -0.084873 0.48405 -0.046679 -0.77787 0.074904 0.046908].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.1379 0.050761 0.0050197 -0.063703 0.090205 0.071365 0.11799 0.054811 -0.066552 0.07162 -0.062836 -0.063852 -1.1519 0.27232 -0.24709 -0.017959 0.29858 -0.042484 -0.25229 0.0036943 -0.071581 -0.072047 -0.32967 0.17283 0.085683 0.19655 -0.030656 -0.34666 -0.13382 0.010524 0.10511 0.27081 -0.18642 -0.082486 0.063102 -0.050489 -0.25046 -0.015015 -0.061083 0.20837 -0.035433 -0.011876 -0.094467 0.02484 -0.34938 -0.07661 0.0061753 0.13239 0.42379 0.099939 0.25721 -0.01831 0.0537 0.19341].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.10014 0.04622 0.080098 0.16974 -0.14719 -0.055211 0.014804 -0.094615 -0.071211 -0.0022521 0.090927 0.033892 -0.025594 -0.14952 -0.65946 0.0088962 -0.012131 0.051871 0.097385 -0.0071057 -0.23283 0.13964 -0.67145 0.019914 -0.079217 0.007532 -0.33042 0.20495 -0.0050921 0.037011 0.020814 -0.47126 -0.19485 -0.82995 -0.22628 -0.17248 0.27661 0.065184 0.05944 0.24495 -0.131 0.17239 0.069574 -0.050699 0.29483 -0.038059 -0.15392 -0.017082 -0.11215 0.068974 -0.079261 -0.053481 -0.16059 0.0024142].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.10629 0.020073 0.14769 -0.065649 0.13141 0.0094957 -0.013683 0.04826 0.1433 -0.14152 -0.26965 -0.06803 0.024968 -0.013903 -0.010891 -0.033361 0.023014 -0.014703 0.10284 -0.2343 0.34803 0.021728 -0.2172 -0.024349 0.061684 -0.16673 0.11936 0.21966 0.12275 -0.031579 -0.48033 0.51799 0.54572 -0.24045 0.23308 0.1255 0.0078636 -0.28591 -0.29055 -0.51404 0.15489 -0.37323 0.095782 0.031393 0.031849 0.11824 0.059087 0.0097075 0.042687 -0.058728 0.046515 0.05912 0.13054 -0.066164].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.089943 0.047495 -0.079616 -0.20665 -0.71048 -0.046964 0.017512 -0.066846 0.0063786 0.13698 0.39796 -0.031778 -0.012107 -0.23456 -0.45147 0.029861 0.0023841 0.01508 -0.33891 0.23869 0.002378 0.12507 0.33404 -0.33421 -0.6545 0.1823 0.14417 0.024367 -0.057599 -0.16991 0.35652 0.3564 0.0057323 -0.081173 -0.30021 -0.0221 -0.072044 -0.11115 0.34495 0.099973 -0.33425 0.33127 -0.085792 0.0071681 0.16563 -0.0070631 -0.020239 -0.045818 -0.0032119 -0.43738 -0.048691 0.012624 -0.073209 -0.030492].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.017782 -0.31936 0.10369 -0.16332 -0.20361 0.11389 -0.031204 0.44379 -0.14651 0.026255 -0.16027 -0.047224 -0.006477 0.063368 0.36642 0.0057825 -0.036345 -0.009536 0.32456 0.0013676 -0.43689 -0.20043 -0.13869 0.34477 -0.057958 -0.13764 0.086246 -0.26645 0.090696 0.033 0.59656 0.062444 -0.0052641 0.047639 -0.27162 0.060007 0.11843 0.26578 -0.10254 0.0058774 -0.13467 0.10146 -0.065859 0.0056397 -0.49403 -0.12683 -0.096357 0.047212 -0.36766 0.37803 -0.1288 -0.0017159 0.013222 -0.069245].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.018735 0.27856 -0.17695 -0.41866 0.18711 -0.22829 0.035951 0.11913 0.081429 -0.0075608 0.13083 0.025233 0.019225 -0.61825 0.08402 -0.010903 0.038996 -0.0065609 0.038775 -0.48419 0.43269 0.20596 0.10674 -0.091182 -0.0063317 0.1575 -0.34817 0.27085 0.00048495 0.11837 0.033576 -0.26178 -0.037629 0.22844 1.073 0.038882 -0.28115 0.13679 -0.34247 0.053697 0.37884 -0.26293 0.028547 -0.089987 0.23617 0.13793 0.1056 -0.034591 0.14044 0.1352 0.091275 -0.043411 0.090629 0.11283].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.010264 0.060089 0.12242 0.56252 -0.079944 0.20536 -0.060702 -0.18138 0.090425 -0.0047478 -0.43088 0.11163 -0.029437 0.013762 -0.044635 0.012216 -0.11364 -0.11663 -0.027091 0.42853 0.0083671 -0.0098471 -0.074453 0.014383 0.075696 -0.078047 0.1633 -0.0094831 -0.0011702 0.03654 0.0060713 0.46211 0.009171 0.0426 -0.1653 -0.088576 0.097726 -0.0461 0.49661 -0.072594 0.086102 0.29357 0.12263 0.011443 0.16073 0.0071508 -0.098914 0.010481 0.18436 -0.33602 0.08848 0.021352 -0.0040734 0.013249].
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 [0.088751 0.089811 -0.18627 -0.57924 0.57222 0.26272 0.21905 0.023751 -0.052133 0.075347 0.10088 -0.0026124 0.10265 -0.30946 -0.14865 0.18846 0.26259 -0.51871 -0.056257 -0.23905 0.3033 0.57201 -0.071339 0.1027 -0.22195 0.20292 -1.0398 0.036384 0.27018 0.030515 0.48456 0.057868 -0.16664 -0.21015 0.70279 0.19223 0.022753 -0.10732 -0.062576 0.14493 0.69888 -0.25174 0.087157 -0.025545 -0.22177 -0.0098887 0.012659 0.13206 0.036512 0.070996 0.040066 -0.065525 0.28406 -0.44727].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.28037 0.037354 0.52252 -0.024355 -0.26312 0.1089 -0.46757 -0.018294 -0.14561 -0.73181 -0.0030313 -0.023014 -0.17068 -0.14524 -0.90302 0.11453 -0.0083083 0.10014 0.21376 0.14828 0.099381 0.83175 0.11127 -0.15615 -0.60947 -0.0067443 0.0017285 -0.23376 0.041159 0.013588 0.0047231 0.01914 0.14713 -0.28861 0.18293 0.0095795 0.13427 0.10145 -0.13607 0.54632 0.1234 -0.06689 -0.072093 -0.2645 0.023032 0.021944 -0.41757 -0.043741 -0.00623 0.058769 -0.044052 0.37707 -0.19214 0.44381].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.033328 0.012511 0.16584 0.37133 -0.24698 0.3228 -0.040932 -0.093453 0.014347 0.036528 -0.061584 0.011243 -0.065811 0.13793 -0.00095314 0.0098016 -0.49432 0.11497 -0.024862 0.38699 -0.29893 0.32705 0.24901 0.059006 0.6823 -0.11729 -0.14102 0.093187 -0.054847 0.078436 -0.038203 0.051326 -0.40515 0.16779 0.12922 0.085898 -0.02481 -0.054958 0.062574 0.19942 0.34489 -0.33728 -0.007044 -0.32908 -0.18079 -0.10017 -0.016768 0.0289 0.015195 0.39127 0.18094 0.16103 -0.0062949 -0.15009].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.039113 -0.02077 -0.096789 0.010951 -0.51973 0.085235 -0.032005 0.034692 0.00078897 0.035017 0.039317 0.13355 0.0033575 -0.080247 0.13687 0.058221 0.064935 -0.10148 -0.044258 -0.07916 -0.58704 0.46886 0.085287 0.022427 0.14121 0.083209 -0.020753 -0.57314 -0.53424 -0.067271 -0.00096998 -0.48445 0.039311 -0.098556 0.082151 -0.039681 -0.26727 0.18402 0.010943 -0.14882 -0.11424 0.19135 0.23566 -0.19839 -0.04336 0.1149 0.098245 0.14024 0.011438 -0.0015721 -0.136 0.12041 0.18994 0.13188].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.12116 -0.010012 0.088677 -0.073475 0.23509 -0.22522 0.16901 -0.026658 0.012865 -0.019841 -0.038983 -0.01264 -5.5871e-05 -0.14089 -0.13746 -0.051113 0.058986 -0.02608 0.008495 0.038555 0.0086162 -0.23073 -0.072311 -0.0057706 0.034654 0.0047647 0.031131 0.24752 0.4394 0.06608 -0.046507 0.47204 -0.080586 0.1077 0.49502 -0.035108 0.26061 -0.19281 -0.0092844 -0.6736 0.15807 -0.35104 0.086568 0.03418 0.041186 -0.023234 -0.31486 -0.088325 -0.061921 -0.0027903 0.10299 -0.012854 -0.07031 -0.048403].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17422 0.027893 0.012047 0.035959 0.025056 0.14366 -0.99113 0.022178 -0.074425 -0.030569 -0.089745 0.12718 0.00054488 0.18651 0.14824 0.068467 -0.044004 0.064099 -0.039961 -0.1099 0.0045917 0.12187 -0.0039028 -0.0014929 0.024463 0.012894 0.059494 0.19319 -0.15659 -0.068058 0.042619 -1.2163 0.083511 -0.041509 0.071827 0.084666 0.081931 -0.45674 0.024656 -0.17862 0.016411 0.27893 -0.28682 0.21577 0.0036343 0.022681 0.11136 0.12971 0.15516 -0.18571 0.10999 -0.15678 0.12738 -0.76995].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.062533 -0.1127 -0.016791 0.036812 -0.15923 0.12439 -0.0018527 -0.0090285 0.071807 0.049063 -0.074179 0.14089 -0.0092741 0.042649 -0.30506 -0.10357 -0.059591 0.050487 -0.11112 0.19698 -0.030871 0.12844 -0.0037992 0.0010459 -0.082173 -0.065251 0.16837 -0.075563 0.071407 0.04279 0.0054919 -0.07894 -0.13219 0.014937 -0.24187 -0.11388 -0.044696 0.031842 -0.18507 0.083863 -0.0038138 0.062676 0.22111 0.10716 -0.22004 0.0012032 0.16967 -0.27676 -0.66648 0.1924 -0.010386 0.16906 -0.021557 -0.036675].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.092117 0.12054 0.005463 -0.073456 0.17769 -0.0091096 -0.0056972 0.014202 -0.00096036 0.0016162 0.49579 -0.24738 -0.051793 -0.028558 0.30811 0.052575 -0.016283 0.010749 -0.19792 -0.016088 0.019191 0.0063771 0.04304 -0.18078 0.051114 0.073482 0.063648 0.0032398 0.34732 0.008974 -0.024305 0.069237 0.13276 0.024498 0.0033676 0.068313 0.016466 0.51874 0.15327 -0.038293 0.014918 -0.86554 -0.71743 -0.28018 -0.11007 -0.0074442 0.05425 0.10007 0.56452 -0.23765 0.045494 -0.090726 -0.014267 0.0066999].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.00039944 -0.0059054 0.0077482 -0.36084 0.0189 -0.00079086 -0.037265 -0.023466 -0.0183 -0.0044986 -0.98678 0.27341 0.059393 -0.025932 -0.011542 0.037558 0.072021 -0.025205 0.32139 -0.04846 0.0032167 -0.097851 -0.15333 -0.029975 0.0088403 -0.20179 -0.030656 -0.19397 -0.35793 0.018509 0.0095933 -0.14648 -0.082071 -0.029671 0.055019 -0.03853 -0.0036532 0.080222 0.039608 0.062116 0.073463 -0.23472 -0.10998 0.26272 -0.34901 -0.030769 -0.0053614 0.066343 -0.00066943 0.23542 -0.039089 0.065258 -0.17366 0.046098].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.066118 -0.066443 0.0057371 0.42798 0.017773 -0.046504 -0.18801 0.0086322 -0.012701 -0.0034474 0.1304 -0.65668 -0.0049188 -0.33595 -0.12948 0.0047758 -0.041676 0.029257 0.023752 0.03733 -0.041046 -0.33089 -0.13335 0.22633 -0.010676 0.1999 -0.14808 0.097456 -0.10285 -0.015569 0.00080719 0.18433 0.037148 -0.31493 0.22678 0.026546 0.058404 0.083742 -0.011892 -0.11225 0.018246 0.16856 -0.072023 0.016444 0.675 -0.15646 -0.048084 0.073571 0.13895 -0.030261 -0.10761 -0.0061145 0.059736 -0.069725].
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 [-0.026763 -0.1721 -0.002517 0.87228 0.27609 -0.098508 -0.0046249 -0.0014627 -0.0083097 -0.0015458 0.35301 0.32167 0.041689 0.097773 0.19444 -0.0068833 0.094171 0.083942 0.014917 0.11399 0.051377 -0.13532 0.18757 1.3704 0.18964 0.67926 -0.025687 -1.1661 -0.011535 -0.15323 0.13828 0.032884 0.00036464 0.36686 0.068703 0.087993 -0.061736 0.30659 0.0070391 0.093492 0.0032444 -0.0088234 -0.038165 0.5052 -0.0088819 -0.018578 -0.017315 0.010586 -0.07571 0.016264 -0.23996 0.045008 0.047109 0.63188].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0081572 -0.0066011 -0.050845 0.0038728 -0.19685 -0.082098 -0.11064 0.16413 -0.073172 -0.90422 0.006894 -0.039151 0.080291 0.00037674 0.17134 0.0091372 -0.17999 -0.20581 -0.067061 -0.0089545 0.01715 0.039327 0.12353 0.29785 0.033762 -0.50114 -0.042206 0.20791 0.25088 -0.0047101 0.0058527 0.23617 0.01814 0.010548 -0.30969 -0.015816 -0.090299 0.023302 0.10295 0.40681 -0.26939 -0.021997 0.022231 -0.0027454 -0.15756 -0.35061 -0.059885 -0.032857 0.10512 0.017538 0.14367 -0.072962 -0.051752 -0.028691].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.10682 -0.3307 0.00025697 -0.13347 -1.6756 0.016089 -0.14293 -0.18864 -0.058854 0.012321 0.16855 0.016416 -0.0016473 0.25766 0.0067583 0.050031 -0.013314 0.17687 -0.32969 -0.075883 0.10893 -0.033304 -0.035275 -0.15824 -0.12082 0.22767 -0.065137 0.12653 0.072929 -0.17372 -0.064613 0.38863 -0.40933 0.01999 0.0088825 0.0013564 -0.20401 0.10886 -0.25669 -0.29386 -0.055328 0.34506 -0.25374 0.62574 0.4907 0.08398 0.26309 0.072322 -0.024176 -0.089537 0.28353 -0.038104 -0.051977 -0.025541].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.20852 -0.10979 -0.126 -0.017182 -0.37119 -0.0093016 0.15271 0.14605 0.0056861 -0.022546 0.29733 -0.40274 -0.10269 -0.0025856 0.031505 -0.31115 0.16302 0.09629 0.068956 -0.1033 0.57623 0.068257 0.10392 -0.069865 0.12255 -0.44205 0.028029 -0.089248 0.12611 -0.26935 -0.068816 0.035369 0.010973 -0.071014 -0.054908 0.048776 -0.068832 0.035713 0.16413 0.080591 0.17852 -0.06321 0.082649 -0.32035 -0.0087138 0.012152 0.14249 0.129 0.41576 -0.90381 -0.25157 -0.026558 -0.63571 -0.077527].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.202 0.35578 0.13725 0.16166 0.28197 -0.020125 0.20756 0.008074 4.1265e-05 0.067411 0.20548 0.30731 0.11249 0.11438 -0.14255 0.047384 0.065868 0.081453 -0.13928 -1.1824 -1.1585 0.10414 -0.040704 -0.020794 -0.37368 -0.11009 -0.0095156 0.18236 0.023634 0.053093 0.070422 -0.053242 0.0092978 0.029109 -4.1191e-05 -0.014778 -0.042655 0.052115 -0.078186 -0.2617 -0.0026988 0.072469 0.031378 0.36048 -0.13481 -0.21092 -0.087593 0.0032259 -0.22556 -0.40629 0.25001 0.030814 -0.048591 0.010771].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0697 -0.033608 -0.1098 -0.77315 0.083952 -0.097097 0.062696 -0.020149 0.0010382 -0.014108 -0.12866 -0.45396 0.037316 -1.1959 0.12599 -0.28839 -0.73071 -0.01242 0.20385 0.10136 -0.25797 0.011216 0.044757 -0.03891 0.3138 -0.5704 -0.0066866 -0.1393 0.08717 0.12965 -0.013897 -0.011124 -0.029725 0.038364 -0.11395 -0.11771 0.022018 -0.00030064 -0.3747 0.26237 -0.046191 -0.015157 0.025969 0.090014 0.15687 0.18258 0.080325 -0.12262 0.26883 0.41939 -0.17592 0.043882 0.0016969 -0.0047629].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.081376 -0.46724 -0.18349 0.0048645 -0.11977 0.097983 -0.38737 0.026615 -0.047407 0.0074246 -0.13282 0.32252 0.045611 0.17319 -0.66246 -0.091543 0.037748 -0.19157 -0.55999 0.036052 0.12161 -0.085773 -0.065953 -0.0094789 -0.073504 0.30401 -0.12933 0.031044 -0.0064679 0.065278 0.01568 0.048467 -0.070988 -0.27861 0.062616 0.07285 -0.051258 0.0011207 0.12232 -0.037923 0.089334 -0.0099125 -0.011845 0.11766 -0.031472 0.055222 0.0049664 0.42042 0.0641 0.054155 -0.24808 -0.26952 -0.025236 0.027661].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.21966 0.37574 0.38792 0.098579 0.096618 0.018298 0.57198 0.010775 0.040967 -0.0096037 -0.03466 -0.41722 -0.058339 0.064762 0.23836 0.52606 -0.50441 0.20584 0.55654 -0.13406 -0.4655 -0.042532 0.039301 0.26574 0.018286 -0.021348 0.10652 0.059782 0.0026537 0.010662 -0.026112 -0.054166 0.088976 0.27183 0.030632 0.014908 -0.13302 -0.010776 -0.11558 -0.018727 -0.034474 -0.019227 0.009487 0.0073606 -0.13327 0.052335 -0.015042 -0.66585 -0.1758 -0.067378 0.32887 -0.084205 -0.04161 0.0534].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.19037 0.065206 0.0043566 -0.069937 0.035648 0.0022351 -1.3732 -0.011774 0.0033349 -0.13213 0.05789 0.4375 -0.088165 -0.002562 -0.11776 -0.02453 -0.53487 -0.0090597 -0.12173 0.10407 0.27516 0.013698 0.0096093 0.138 -0.13934 -0.46604 0.035304 -0.24069 -0.01614 -0.23174 -0.075422 0.061004 0.0010603 0.002855 0.026878 0.015538 0.18904 -0.20856 -0.076506 0.015565 0.0037895 -0.051675 -0.0083422 -0.5275 0.19636 -0.20401 0.011121 -0.011686 0.55297 0.049472 0.1069 -0.24714 0.074278 0.020637].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.16565 0.068328 -0.013109 -0.05287 -0.024072 -0.13857 0.001156 -0.031765 -0.02528 0.065593 0.29789 0.21552 0.16091 -0.045112 0.10839 0.08037 0.38518 -0.27617 0.001792 0.036849 0.27956 -0.16308 0.0048683 -0.12445 -0.030848 0.3602 -0.3262 0.35188 0.0061798 0.089161 0.039743 -0.19614 0.0058479 -0.12358 -0.054094 -0.11663 -0.10044 0.17047 0.40009 -0.037933 -0.074913 0.0078867 -0.054945 0.061362 -0.14147 0.061296 -0.067339 0.0078491 0.1269 -0.055562 -0.14829 0.59891 -0.23534 -0.35698].
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 [-0.025414 0.45038 -0.018981 0.078343 -0.011703 0.12577 0.036498 0.17213 -0.093132 0.12996 -0.021459 0.037546 -0.24187 0.037075 -0.20306 -0.11706 0.24156 -0.23145 0.025482 0.099421 0.1597 -0.22215 0.2534 -0.34407 0.16633 -0.20716 -0.020734 0.034782 -0.35095 0.24449 -0.24016 0.13509 -0.0925 -0.53289 -0.050037 -0.048515 -0.12466 -0.057983 0.088464 0.083619 0.52607 0.3364 -0.47337 0.042019 -0.025707 -0.04248 -0.23965 0.27621 0.058451 0.65486 0.23969 0.21036 0.12428 0.14133].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.10488 0.015146 -0.048629 -0.04224 0.10015 0.56443 -0.093795 0.19047 0.01387 0.0093589 -0.047629 0.73369 0.043963 -0.41756 -0.24347 -0.0017085 -0.051036 0.12977 -0.080976 -0.01336 0.084653 -0.012151 -0.017865 -0.045227 0.19376 -0.037542 -0.083848 -0.72391 0.84694 -0.41859 -0.16603 0.0028859 0.1368 -0.16324 0.3001 -0.0027678 0.045054 0.055933 0.1747 0.033285 0.043432 -0.84357 0.79357 -0.064206 0.09303 0.093183 -0.059591 -0.014891 -0.15572 -0.038369 -0.036926 -0.24027 0.085219 0.047893].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.006022 0.34497 -0.034079 0.02667 0.077707 -0.31729 0.11967 0.14402 0.070243 0.0018298 0.023954 0.11353 -0.040691 0.023001 -0.17335 -0.08034 -0.031475 -0.076654 -0.30808 0.093535 0.14576 0.078822 0.31713 0.056843 0.067578 -0.72768 0.32998 -0.64209 0.03457 -0.01668 0.071721 -0.14939 0.17598 -0.31092 -0.1076 0.013285 -0.48461 0.18639 -0.19564 -0.11448 -0.016262 -0.82795 0.049353 -0.46925 0.07016 0.074878 0.237 -0.058854 0.045585 -0.28658 0.023709 -0.087184 -0.087497 0.068789].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.13831 -0.14099 0.039291 0.35977 -0.020987 -0.0033149 -0.063579 -0.012017 0.011641 0.018659 -0.61725 0.014127 0.086575 0.28693 -0.02968 -0.074392 0.29516 -0.092103 -0.059416 0.13449 -0.086927 0.017825 -0.056868 -0.069443 0.1876 -0.16756 0.11379 0.0029105 0.061333 -0.021521 -0.088425 -0.19504 -0.42466 -0.59578 -0.078038 0.022436 -0.027909 -0.0081006 -0.040354 -0.11372 -0.08345 0.10982 -0.059409 -0.019496 0.058552 -0.037341 0.063252 0.26779 0.008679 -0.085015 0.076194 0.93324 -0.0051085 0.024243].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.081771 0.29331 -0.027797 0.13803 -0.14128 -0.35909 0.030769 -0.13165 -0.27464 0.0023268 0.029203 -0.19843 0.058959 -0.05932 0.040827 0.00014638 0.21547 0.064492 0.094582 -0.0758 -0.01106 0.10417 0.048499 -0.057933 -0.84784 0.0073643 -0.048826 0.0093358 -0.51158 0.021766 0.25374 0.15932 0.49092 0.15456 0.17004 0.019957 0.39315 0.052358 0.2845 0.098231 0.015843 0.0016578 0.002374 -0.19639 -0.054502 -0.0034575 0.022304 0.14472 -0.049846 0.19517 0.011801 -0.40938 -0.056082 -0.0044783].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17886 -0.10068 0.046487 -0.66375 0.1415 0.44669 0.0042734 0.12845 -0.39148 0.001593 -0.0088648 0.21341 0.083532 0.034423 -0.0059269 -0.051125 -1.0056 -0.19696 -0.04336 -1.5936 0.18755 -0.020918 -0.11862 0.16823 -0.025888 0.13325 -0.2411 -0.070493 0.069396 -0.043851 -0.14991 0.026583 0.050601 0.012341 -0.12204 -0.13343 -0.48809 -0.004627 -0.026569 -0.00059149 -0.062665 -0.15377 0.0053411 0.2111 0.072595 -0.058152 -0.1817 -0.059702 0.06923 -0.0082598 -0.086277 -0.28804 0.078363 -0.19181].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13071 -0.050176 -0.023591 0.52356 -0.029708 -0.11696 -0.22302 -0.056309 0.5833 -0.015421 0.033593 -0.2166 -0.44723 -0.17735 -0.0050861 0.092857 0.048781 0.28714 -0.34434 0.28221 -0.010575 -0.027636 0.12538 0.01776 -0.25501 -0.14877 0.26574 -0.15154 0.2184 0.0017428 0.08897 -0.70261 -0.30379 -0.057701 -0.06243 0.097174 0.57009 0.00011216 -0.030615 -0.01187 0.051291 0.14808 0.052886 -0.0087125 -0.11307 0.16209 0.05439 -0.25807 -0.15753 0.0085177 0.12158 0.16152 -0.039104 0.19762].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.16605 0.14213 -0.0080107 0.0091555 0.022176 0.10109 0.19285 0.051782 0.043672 0.015482 0.0033575 0.19214 0.577 0.17647 -0.067119 -0.013193 -0.33522 -0.089046 0.3896 0.014379 0.0086147 0.064034 -0.0089826 -0.15152 0.32964 0.03979 -0.28352 0.18445 0.086826 0.0051431 -0.038598 0.13491 0.1279 -0.022454 0.17359 -0.0092533 0.055176 -0.08875 0.081796 0.0296 -0.015424 -0.034639 -0.016278 0.005599 -0.15396 -0.13458 0.36952 0.28142 0.1552 0.00054321 -0.17136 0.16616 -0.0071816 -0.00038658].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.15114 0.084852 -0.097678 -0.3303 -0.012371 0.012527 0.033352 -0.10119 -0.17964 -0.0017799 -0.013949 -0.20661 -0.18162 0.015671 0.090651 -0.022259 0.25662 0.0073622 0.051691 -0.042628 -0.008571 0.0033159 -0.051603 0.14283 0.02915 0.12165 0.065187 -0.021407 0.18153 0.040103 -0.14414 -0.16395 0.26166 -0.1473 -0.05491 -0.035101 -0.038052 0.087602 -0.26788 -0.046534 -0.2227 0.0026942 -0.031324 -0.075485 0.24903 -0.30727 -0.25403 -0.29769 -0.047574 -0.033746 0.16235 -0.45333 0.0347 -0.13909].
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 [0.10123 -0.032986 0.23757 0.01675 -0.13239 0.15264 -0.030171 0.14445 0.26662 -0.41047 -0.1349 0.20894 -0.27932 0.041872 0.020437 0.021281 -0.86847 -0.39631 -0.55819 -0.14356 -0.76261 -0.62706 -0.54147 0.031424 -0.23219 0.12588 -0.27864 0.16756 0.088538 0.028174 -0.28393 0.37894 -0.18039 0.10902 -0.20763 0.024044 -0.094408 -0.023786 0.062088 -0.17615 -0.035991 -0.51924 -0.11863 -0.20239 -0.33299 -0.6496 -0.15453 0.17736 0.057427 -0.6256 -0.24068 -0.038656 -0.029796 -0.046762].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0018363 -0.076214 -0.14332 -0.18744 -0.012156 0.024076 0.00269 -0.1267 0.044376 0.094102 0.015442 -0.072122 0.042501 -0.092193 -0.05411 0.39221 -0.13373 0.0070701 -0.44984 0.01344 -0.53878 -0.0052892 -0.054151 -0.097292 -0.0048766 0.33275 -0.065996 -0.064489 -0.036516 -0.084667 0.074361 0.00115 -0.0019247 -0.49276 0.015677 -0.011783 0.0051786 0.1179 0.48546 -0.27335 0.64993 0.39886 0.024737 0.63314 0.96351 -0.033979 0.056129 0.12293 0.02232 0.037453 0.17178 0.43557 0.0085311 0.057567].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.030523 -0.012811 -0.066018 0.087674 -0.022468 -0.24265 -0.18227 -0.13246 -0.00026628 -0.010449 -0.028361 0.070425 0.42757 0.0218 -0.63069 -0.1141 -0.25461 0.22912 0.009807 -0.11102 0.0082478 0.0138 0.24821 -0.04323 0.017734 0.015758 -0.0059196 0.02069 0.21905 0.15597 -0.011872 0.026056 0.026746 -1.273 0.13704 -0.030618 0.050455 0.068813 -0.067946 0.043471 0.0083347 -0.0059554 0.21081 -0.027286 0.034799 0.40281 -0.35012 -0.032647 -0.054097 0.026541 -0.0003096 0.075592 0.5863 -0.13397].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.045118 -0.043856 -0.00298 0.075453 -0.059219 -0.04799 0.13345 -0.011495 0.0076311 -0.12482 0.076275 -0.1741 0.020353 -0.016153 -0.084207 -0.093998 -0.46468 0.12712 -0.050082 0.26031 0.33776 -0.032052 0.093562 0.29634 -0.17333 -0.077864 0.11267 -0.18657 -0.30446 -0.10162 -0.033077 -0.035048 0.091283 0.68264 -0.10466 0.10917 0.71658 0.20743 -0.014711 -0.55454 -0.047518 0.092055 -0.54052 0.084652 0.038026 -0.087872 -0.47182 0.027428 0.079089 0.0048792 0.017613 -0.5255 -0.47901 -0.093102].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.064163 -0.040254 0.0022395 -0.051017 -0.22318 -0.15037 -0.027581 -0.077534 -0.12288 0.059423 -0.057619 0.15446 -0.04657 -0.044066 -0.12333 0.14763 0.40366 0.095175 0.075255 -0.044749 -0.47531 0.059228 0.00026763 -0.16675 0.45607 0.0089103 -0.04162 -0.20041 0.26015 0.19156 0.031231 -0.029401 0.026118 -0.11638 -0.11538 -0.13818 0.15806 0.057702 0.011758 0.059558 0.083417 0.26928 -0.10552 -0.010241 -0.30533 0.0042039 0.53657 -0.47378 -0.0069674 0.013971 -0.26087 -0.089423 0.53876 -0.063658].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.062113 0.1136 -0.079996 -0.10232 -0.033003 0.14182 -0.22859 0.0076813 0.031277 -0.17421 -0.058584 -0.073142 0.053525 0.066442 0.1818 -0.68853 -0.3005 0.081747 0.002751 -0.01189 -0.5803 -0.22137 -0.055936 0.078399 0.024122 -0.066527 0.042388 0.39128 -0.17085 -0.007626 -0.015608 -0.11602 0.15987 0.077093 0.20331 0.15096 -0.092246 -0.15311 -0.1039 -0.0075905 -0.37596 -0.74207 0.0015755 0.032391 0.41507 -0.18336 1.1778 0.16049 -0.02799 -0.02726 0.26109 0.16482 -0.45671 -0.24414].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.1389 -0.02339 -0.028793 0.084294 0.31248 -0.29503 0.32879 0.01774 0.070072 0.2391 0.091562 0.095517 -0.10007 -0.19083 -0.019756 0.1454 0.33511 -0.22314 -0.20176 0.052517 -0.69037 0.25191 0.053375 -0.048338 -0.034425 0.12418 -0.013416 -0.010256 0.17887 -0.51008 -0.0070008 0.16397 -0.11459 -0.0087514 -0.03303 -0.043912 -0.042653 0.05476 0.10192 0.09975 0.3773 0.5111 0.10376 -0.026881 -0.29982 0.39236 -0.0023246 0.068946 0.020535 -0.17471 0.19037 -0.20393 0.494 0.52791].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.19758 0.083078 0.10641 0.085985 0.020154 0.13902 -0.045978 -0.063573 0.026445 -0.0040174 -0.23913 -0.34374 -0.041641 0.17165 0.053086 0.0029258 -0.77936 -0.044034 0.18951 0.0094933 -0.049453 -0.051454 -0.0069219 -0.25795 -0.00097469 -0.004445 -0.15322 -0.31674 -0.12863 -0.018191 0.015594 0.0048913 0.10942 0.068557 -0.066354 0.003576 -0.020815 0.073616 -0.0080982 -0.014827 -0.23274 0.21537 -0.15369 -0.15844 0.2638 -0.39422 0.010712 0.23297 0.019607 0.031384 -0.23268 0.17602 -0.024762 0.027412].
# Iteration 9:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.00011357 -0.076242 -0.10144 -0.024605 -0.094059 -0.0021231 -0.15056 -0.32213 -0.10484 -0.0070601 0.20483 0.29659 -0.080865 -0.14827 -0.0069812 -0.29336 -0.67788 0.28722 -0.0027702 -0.041521 0.019513 -0.32094 0.0053077 0.18062 -1.44 -0.00018092 0.17153 -1.3348 -0.18901 0.098923 -0.008389 -0.056221 -0.13061 -3.0265e-05 -0.037629 -0.017438 0.18646 -0.0518 -0.0097396 0.047933 0.16961 0.02528 0.15307 0.1092 -0.082492 0.43884 0.0096971 -0.1937 0.011513 0.062466 0.16203 -0.081048 -0.13908 0.088702].
# Iteration 10:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0014734 0.063589 0.11027 0.029721 -0.055475 8.7224e-05 0.18972 0.40608 -0.0162 0.014218 0.002264 -0.031284 0.18515 0.049283 -0.048503 0.28659 0.11332 -0.33664 -0.12362 -0.45442 0.034325 0.31379 -0.083457 0.20934 0.31381 -0.038207 -0.0068139 -0.2895 -0.12144 -0.030119 -0.023645 0.059263 -0.13464 -0.010433 -0.058689 0.0011545 -0.080237 -0.02558 -0.17691 -0.11049 0.058317 -0.00023347 -0.52927 0.061087 -0.39272 -0.21697 -0.046508 0.048744 -0.0080401 0.0095622 -0.018838 0.10305 0.16766 -0.029804].
# 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/R38_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 44506 s