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R37.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 [68.39532 10.74242 68.63385 32.30939 13.35442 6.554541 58.41889 15.5011 22.72683 11.08336 61.11864 18.77022 52.95435 27.15936 10.62399 81.92558 13.28976 34.6558 32.6514 29.30031 72.87725 150.0711 50.40661 9.976935 13.63109 6.069026 58.39247 51.91648 6.047777 12.29378 25.53075 16.98593 131.814 133.03 33.37845 88.04063 36.64373 12.42222 22.97077 127.4712 21.35171 45.03291 26.36876 44.07425].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.21641 0.807729 2.40692 0.419862 0.389185 0.0103168 0.084446 1.01032 0.15019 -0.0640203 0.398883 0.515006 3.04743 2.67963 0.214751 1.64659 0.00825013 2.07427 1.21987 0.230979 1.67135 2.01036 0.39944 -0.0781234 0.58565 0.083963 0.745996 1.01952 -0.0462634 -0.0256699 -0.352263 1.15508 15.0238 1.70703 1.74854 4.01224 3.59361 0.25757 -0.166459 1.19178 -0.749335 4.3068 0.051184 1.67506].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.33159 0.1022 -0.15788 0.052859 0.038388 0.49488 0.16354 -0.32937 -0.14944 0.16197 0.037011 -0.015218 0.23301 0.32676 0.14886 0.091966 -0.0343 -0.51935 0.033514 0.02796 0.072169 -0.45517 1.2279 -0.018938 -0.14504 0.01058 0.090694 0.2165 -0.0075806 -0.24894 -0.0019088 -0.018742 -0.012558 -0.21782 2.0132 0.14404 -0.02549 -0.039863 -0.15381 -0.5277 -0.39764 3.8022 -0.39697 -0.10619].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.012884 0.17948 0.58142 -0.42456 0.026996 -0.053272 0.12086 0.17727 0.019461 0.0689 -0.01427 -0.028026 0.12669 0.047227 -0.059988 -0.065991 0.037519 -0.027117 0.050569 -0.076478 -0.1392 -0.068327 -0.27821 0.055885 -0.017878 0.068752 0.013701 -0.019929 -0.0086369 0.2157 0.013434 -0.069907 1.0454 0.0037359 0.34329 0.18797 0.13358 0.12549 0.21371 -0.511 -0.0075854 -0.17496 0.34635 0.029193].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.085818 0.025299 0.54747 0.22813 0.031099 -0.066551 0.35229 -0.17046 0.00024643 0.025462 0.021013 0.018088 0.045025 -0.031285 0.017318 -0.069541 -0.034324 0.073789 -0.33726 0.057975 0.17577 0.067533 0.040763 0.09579 -0.00096484 -0.051089 -0.0015281 -0.14327 0.0046022 -0.073231 -0.0028732 -0.0356 -0.64862 0.18748 -0.062806 -0.35927 -0.018727 -0.4678 0.18841 0.24852 -0.052198 0.22496 0.017881 0.10195].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.01294 -0.022652 -0.022667 0.036791 -0.15797 0.13159 -0.40949 0.1434 -0.020148 -0.11385 0.0045167 -0.10163 -0.0021594 -0.098314 0.1505 0.066098 0.05644 -0.002414 0.10406 -0.036441 -0.15917 -0.012307 0.088228 0.0051652 -0.14981 -0.014074 -0.00031147 0.084439 0.0033361 0.045589 0.0018386 0.046752 0.028024 0.20072 0.034151 0.34196 -0.099991 0.27131 0.021624 -0.83583 0.068401 -0.1012 -0.010456 -0.029081].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0059621 -0.05281 0.017812 0.196 0.014957 0.00084634 -0.46101 -0.010977 0.016497 0.07781 -0.01666 0.11069 -0.032447 -0.23213 -0.16856 -0.069854 -0.011685 -0.057614 0.18705 0.066624 0.12117 -0.24893 0.11302 -0.08406 0.17559 0.067378 -0.018346 -0.079351 -0.048442 0.027547 0.0013154 0.0088402 -0.040629 -0.15014 -0.0046191 -0.049208 0.087159 -0.072617 -0.13645 0.12839 0.0012404 -0.10296 -0.0010905 0.024265].
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 [11.56809 10.76482 77.0294 32.78581 2.536842 21.01187 58.05054 3.526101 48.52601 10.04786 11.55908 23.79679 34.93455 2.134584 47.09437 52.67639 58.28612 56.68221 56.33853 36.29237 90.82399 77.23746 219.4447 24.54913 59.1937 2.4673 22.14736 95.07009 11.14682 4.187116 15.00734 18.06355 24.93306 20.93589 49.94349 49.97423 58.07601 4.243737 12.17914 486.1127 7.8762 68.26962 19.81783 99.18868].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.130886 0.910715 1.74884 5.96526 0.150079 0.902469 1.2228 0.0846474 2.49617 0.211595 -0.0291918 0.973557 3.55593 -0.367099 2.97351 4.83283 2.90184 2.36009 2.82047 10.1905 6.59828 8.70963 11.0113 1.19202 6.57172 0.0953458 0.235717 2.92992 0.0119305 0.833695 0.870175 0.895558 0.406944 1.54907 2.08144 1.32965 7.71029 -0.363891 0.654015 32.1279 0.136551 4.01214 2.3512 5.59221].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.47998 -0.41666 1.4582 -0.15267 0.046399 0.26029 0.82232 0.0085401 0.0013304 0.012855 -0.061353 0.3917 -0.47214 0.052252 1.3592 0.019184 0.75989 0.26978 2.8464 1.1804 1.4839 0.1237 0.2157 -0.1839 4.5742 0.015459 0.16155 2.2454 0.072617 0.2386 -0.044062 0.79297 0.20781 -0.19418 -0.26491 0.78275 2.0147 0.56232 -0.044417 6.655 0.032232 0.66253 -0.21976 1.7122].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.25554 0.17637 0.29837 -0.13066 0.10449 0.22351 -0.12614 0.026626 0.06644 -0.0011396 -0.072502 -0.027176 0.15651 -0.73235 -0.0021873 0.51019 0.2132 0.41343 -0.88866 0.28464 0.16868 -0.45417 0.4889 0.020134 -0.015796 0.01419 0.47794 -0.16395 0.055597 -0.027473 0.29207 0.064369 -0.15913 0.065453 0.025676 -0.011413 0.076664 0.26412 0.62389 0.4035 0.1543 0.2925 -0.13757 0.34579].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.08528 0.069368 -0.011493 0.17587 -0.025564 0.067011 -0.0070782 -0.0014805 -0.0091746 -0.1007 0.029167 0.02926 0.10363 0.15888 -0.037029 0.04009 0.22374 -0.24773 0.078041 -0.27775 0.0061024 0.55048 0.22173 -0.074397 -0.1918 0.024977 -0.39359 0.059784 -0.013717 -0.08478 -0.089733 -0.13387 0.22242 -0.029164 -0.26394 -0.050601 -0.049657 0.021336 0.00020022 -1.0177 -0.051248 -0.002353 -0.03865 -0.21031].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0032409 0.039977 -0.61232 -0.15486 -0.013198 0.036839 -0.066011 -0.0078053 0.014838 -0.13207 0.04123 -0.24093 -0.030339 -0.17479 -0.21825 -0.15046 -0.015374 0.11286 -0.10747 0.16645 -0.10046 0.80186 0.0075049 0.071341 0.31968 -0.020473 0.29766 0.067709 0.0092179 0.11967 0.084955 0.52942 0.010121 -0.010574 0.21557 -0.46704 0.062078 -0.21267 -0.080554 -0.30902 -0.051998 0.0034144 -0.19162 0.20653].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.017559 -0.27101 0.47262 -0.37771 -0.0059302 -0.16704 0.19938 0.0035538 -0.055351 -0.42412 -0.062952 0.047404 0.054462 -0.26955 0.13949 0.14159 0.049582 0.048649 0.022782 0.099835 0.084896 -0.0039403 -0.0035503 -0.19083 0.0017287 -0.15473 0.20881 0.0053295 -0.0082304 -0.17957 0.012185 0.041294 -0.0010271 0.053583 0.027897 0.51209 -0.048752 0.21879 0.083059 0.0032255 -0.08104 -0.11947 0.23278 0.16173].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.014297 0.2345 0.010897 0.093666 -0.081346 0.065169 0.063399 -0.048502 0.060972 0.53228 0.028615 0.20017 -0.096556 0.24801 -0.12816 -0.12345 -0.080026 0.095368 -0.10693 -0.075366 -0.1018 -0.010409 0.00092409 -0.01863 -0.41468 0.15938 -1.1642 -0.38379 0.0038825 0.1758 -0.38532 -0.081988 -0.061903 -0.2372 -0.26057 -0.046988 0.011687 -0.1531 0.0014088 0.11797 -0.025792 0.11392 -0.00040871 0.00098632].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.32265 0.043171 0.013585 0.24848 0.047147 0.0099855 -0.65579 0.012682 -0.052688 -0.012567 -0.0093331 -0.048938 0.11209 -1.0379 0.25429 0.096355 0.049801 -0.10612 0.069039 -0.074992 0.13511 0.023832 -0.42497 0.20504 0.02986 0.0086681 -0.20385 0.013905 0.0040827 -0.014074 0.3687 0.064966 0.055752 0.25359 0.25846 0.056691 -0.31257 -0.12176 -0.12227 0.0522 0.0011508 0.011418 -0.009583 0.00040581].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.30917 -0.38127 -0.049104 -0.31265 0.049588 0.089719 0.27422 0.040973 0.050634 -0.44554 -0.0039978 -0.030693 0.0084962 -0.19138 -0.14439 0.036266 0.028035 0.11862 -0.40234 0.078846 -0.048131 -0.017007 0.42322 -0.04467 0.3228 -0.10057 -0.34464 0.25471 -0.026766 -0.012987 -0.11921 0.022133 -0.04595 -0.03433 -0.07987 -0.021216 0.32635 0.22409 -0.090912 -0.49006 0.028488 -0.038507 -0.094826 -0.6927].
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 [0.04622 0.25931 0.54235 0.99785 -0.066181 0.071997 -0.14069 0.37771 0.21447 -0.14443 0.3701 0.074715 1.0975 -0.047058 -0.38639 0.64129 0.67629 0.019689 -0.32297 -0.42466 1.9986 -0.0089499 1.7886 0.61659 1.3953 0.25493 0.45468 0.28751 0.1478 -0.13284 -0.36053 0.20391 0.068032 -0.0099172 -0.14654 0.3777 0.20691 0.47398 0.52728 4.5142 1.0368 0.87417 0.96622 2.1278].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.14939 0.13102 0.22401 -0.73416 0.1805 -0.043494 -0.052931 0.0045452 -0.028588 0.1871 -0.15683 -0.37314 -0.24405 0.20369 -0.5562 0.0034568 0.067573 0.26154 0.1635 0.23675 0.0031591 0.60008 0.94632 0.70951 -0.17881 -0.035207 0.13508 0.30728 -0.089315 -0.16006 -0.42797 0.088687 0.081796 -0.017818 -0.037024 0.0042271 0.015819 0.041333 0.27646 -0.70652 -0.017978 -0.28056 -0.52797 -0.0962].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.063815 0.096323 0.34702 0.04961 0.02084 -0.017688 0.10843 -0.35679 -0.026563 -0.012817 0.072462 -0.06581 0.59748 0.071125 -0.33278 0.21164 0.0019234 -0.066685 -0.27832 -0.017257 0.028844 -0.33189 -0.22297 0.035343 0.031751 0.13987 0.026444 0.066431 -0.022228 -0.27378 -0.059906 -0.089258 -0.07868 -0.080028 0.0031837 0.12872 -0.0073626 -0.0019794 0.22133 0.17348 -0.011188 0.16487 -0.33356 0.20829].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.041483 -0.0036903 0.32708 -0.49049 -0.069008 -0.061996 -0.29777 -0.048925 -0.1846 -0.025594 -0.034486 -0.033021 -0.04015 0.085805 0.088611 0.042487 0.32685 0.059834 0.027409 1.1398 -0.22476 0.01795 0.39475 -0.31781 -0.15492 0.066079 -0.12186 -0.53888 -0.048271 -0.52929 -0.018479 -0.040897 -0.3085 -0.029234 0.33722 -0.10549 -0.11236 0.22404 0.081175 -0.48917 0.1213 -0.47646 0.12077 -0.29154].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0114 0.10478 -0.07805 0.45587 0.014903 -0.0071278 0.14959 0.020981 -0.1032 0.021172 0.18807 0.025286 -0.06217 0.03757 0.17801 -0.083429 -0.027182 -0.0022986 0.039515 -0.1141 0.10874 -0.003912 0.0087145 0.52218 0.43934 -0.02488 -0.005333 0.0055215 0.004237 0.015571 -0.050211 0.13222 0.055092 0.018111 -0.27149 0.094402 0.20079 -0.19228 -0.3608 -0.21012 0.011253 0.47804 -0.021187 0.46478].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.015893 0.033547 0.082994 -0.059214 0.030847 -0.095047 -0.26661 0.021717 0.35007 -0.057005 0.023412 -0.10112 0.07442 -0.61028 -0.27624 -0.18101 -0.33001 -0.17192 -0.0025414 0.12107 -0.87865 -0.027522 -0.055123 0.1037 -0.66469 0.062683 0.08936 -0.15508 0.05162 -0.12606 -0.0044541 -0.10848 0.28391 0.01118 0.21403 -0.037873 -0.11022 -0.19128 0.20305 0.59389 0.0032699 -0.028311 -0.68918 0.066324].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.070717 -0.14095 -0.47352 0.10745 -0.45432 0.08436 0.27531 -0.056477 -0.27215 0.061536 -0.17577 -0.069527 -0.011885 -0.00912 -0.10085 0.32377 -0.18114 0.14339 -0.075885 0.17898 0.26387 -0.078143 0.016865 0.015923 -0.059451 0.016809 -0.083075 0.31713 -0.06714 0.071751 0.047757 -0.16511 -0.39477 -0.0070085 0.063246 0.019452 0.10302 0.24549 -0.069587 -0.31604 -0.091564 -0.37253 0.35518 -0.074177].
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 [-0.047315 -0.13192 -0.43641 0.069642 0.17385 -0.067783 -0.11607 -0.07415 0.25593 0.25617 0.18228 -0.14229 0.014508 0.15359 0.13386 0.02706 0.1435 -0.073503 -0.014666 -0.00095851 -0.31953 0.087992 1.489 -0.087942 0.35696 0.013178 -0.0060374 -0.22316 0.0074054 -0.0040075 1.2843 0.5138 -0.053772 -0.82958 1.7254 0.2832 0.18467 -0.12855 0.3215 -0.50139 1.6317 0.46032 -0.12708 -0.37093].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.48566 -0.03115 -0.94132 0.14736 -0.12008 -0.047399 0.074791 -0.00023473 0.011879 0.022578 0.2813 -0.031961 0.093652 0.16637 -0.088336 0.016334 -0.2112 0.25765 -0.063182 -0.044894 0.025314 -0.15205 -0.27078 0.13407 -0.31204 0.064367 0.080758 -0.11315 0.023266 -0.050953 0.036663 -0.15314 0.033041 0.035879 0.32939 -0.18226 -0.016667 0.13337 -0.084039 0.50855 0.0854 0.50536 -0.4979 0.087896].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.18266 -0.22353 0.019523 -0.29351 0.0082915 -0.18301 0.11661 0.14031 0.030628 -0.024033 0.060776 -0.15548 0.75733 0.12509 -0.15213 -0.14746 0.17821 0.38837 -0.53424 0.12352 -0.15792 -0.052549 -1.497 0.074388 0.32744 -0.045025 0.04867 -1.3462 -0.015455 -0.33125 -0.2476 0.04161 -0.39994 0.01378 -0.17324 -0.01049 0.019023 0.038019 0.023705 0.14513 -0.20889 0.087826 0.044532 0.025276].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.62776 -0.41402 -0.81904 -0.019848 -0.19274 0.034784 0.04901 -0.1352 -0.12591 0.057432 -0.093333 0.30375 -0.79064 -0.1734 -0.076884 -0.046865 0.60547 0.049491 0.10638 -0.32864 0.033967 -0.033545 -0.36682 -0.082304 -0.6411 0.037204 -0.035296 0.19551 -0.014333 0.24829 0.1254 0.049483 -0.22605 0.10879 -0.1461 -0.293 0.17952 -0.026003 0.0067241 0.25474 -0.0017465 0.010136 0.081605 0.11294].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.012304 0.39452 -0.062867 -0.61439 0.19982 -0.083057 0.035066 0.21017 -0.57526 -0.00082924 0.19303 0.16397 -0.057325 0.12155 0.074352 -0.048105 -0.93544 -0.13076 0.081587 -0.25534 -0.06486 -0.28159 0.37894 0.11009 -0.63796 -0.013917 0.32132 0.29978 -0.26069 -0.18509 0.033107 -0.26348 0.24242 -0.2681 0.11758 0.49726 -0.75878 0.26588 -0.062439 0.9824 0.0029692 0.17013 -0.13079 0.090214].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17181 0.00025158 0.013821 -0.013643 0.18956 -0.10284 -0.0096671 -0.0011443 -0.20679 -0.074445 -0.51875 -0.77189 0.041564 0.084751 -0.032948 -0.0025956 -0.19856 0.082012 -0.056276 0.41706 -0.27671 0.42878 -0.47573 -0.15155 0.045815 -0.31833 0.016365 0.15528 0.32535 -0.16034 -0.039529 0.27436 -0.0043098 -0.19043 -0.026608 -0.48024 0.027311 -0.12929 0.12657 0.13943 -0.033059 -0.097305 0.13362 -0.37613].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.075083 -0.0013078 -0.32854 -0.084914 -0.24554 -0.16372 -0.28342 -0.044564 0.21478 0.074839 0.3233 -0.021924 -0.0017413 0.013132 0.020128 0.020709 0.5762 -0.14738 -0.11662 0.031753 0.34053 -0.016017 0.26717 -0.10292 0.28963 0.21992 -0.098458 -0.68387 -0.055153 0.34153 0.051878 -0.04368 -0.25857 0.37713 0.15841 0.27835 -0.0021414 -0.051039 0.063153 -0.66966 -0.012235 -0.28649 -0.005286 -0.46491].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.053534 -0.26422 0.14797 -0.16539 0.10581 0.35571 0.044741 -0.11747 -0.01239 -0.035336 -0.085261 0.059418 -0.06594 -0.31489 -0.1027 0.055899 -0.046825 -0.42842 0.15854 -0.45371 -0.20018 0.013238 0.17983 0.28742 0.042417 0.11239 -1.0712 0.20454 0.019476 -0.29966 -0.22421 0.03667 0.19873 -0.20655 -0.32149 -0.32006 -0.28261 0.57486 -0.24389 -0.0086266 0.005605 0.51984 -0.051031 -0.20804].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.023035 0.21425 0.25712 0.35572 0.1161 -0.3321 0.2355 0.15442 -0.094785 -0.015706 -0.15049 -0.06891 -0.050147 0.287 0.11422 0.020764 -0.055686 0.61958 -0.073822 0.52246 0.07006 -0.00087042 -0.16479 -0.038629 -0.96786 -0.028486 0.36855 -0.18559 0.10371 0.24676 -0.32827 0.010368 -0.1548 -0.062049 0.26126 0.16499 0.27403 0.056691 -0.054087 0.077026 -0.13492 0.30141 0.024985 0.69004].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.023495 -0.26046 -0.046042 -0.17863 -0.13587 0.31381 -0.0018588 -0.2294 -0.050192 0.037512 0.29022 0.069176 0.095186 0.0088822 -0.14504 -0.005904 -0.11873 -0.39112 0.07941 0.59937 0.12452 -0.10144 0.20508 -0.39082 0.20985 -0.080444 0.067231 0.093149 0.073963 -0.08507 0.55817 -0.0011339 0.15522 0.19312 -0.14581 -0.44012 0.025737 -0.25992 0.17022 -0.45597 0.15918 0.011673 -0.25497 -0.2674].
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 [0.037869 0.30746 0.064839 0.095986 -0.03366 0.061667 0.18588 -0.10402 -0.10916 -0.051617 -0.0081391 -0.043678 -0.14339 -0.0017576 0.018162 0.33094 0.2419 -0.066453 -0.031546 -0.017922 0.13591 0.079144 1.5587 0.0022823 0.12833 -0.032093 -0.16126 0.52271 -0.30156 -0.0013905 0.045005 -0.0099612 -0.30638 -0.023655 -0.13101 0.04023 0.23541 -0.041316 0.045104 1.0197 -0.43028 0.22291 -0.10222 -0.55976].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.013507 -0.13123 0.2251 -0.089071 -0.15621 -0.24413 0.0040544 -0.10269 0.25597 0.0066559 0.020478 0.0089458 -0.033176 -0.70185 -0.21782 -0.45371 0.01577 -0.01684 -0.02149 -0.046987 0.019842 0.21067 0.15325 -0.019829 -0.25402 -0.12631 -0.059583 -0.0060273 0.18343 -0.17284 0.040812 0.27847 -0.19139 -0.10643 0.3368 0.022 0.4056 -0.032041 -0.24969 -0.45889 -0.37519 0.015628 0.34534 -0.21371].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.057358 -0.14474 -0.023162 0.38798 0.11065 -0.15924 0.04452 -0.071056 1.1086 0.0010892 -0.20845 -0.11304 0.046405 -0.23342 0.062854 0.007578 -0.064786 0.82718 0.35388 -0.14107 -0.26044 0.02838 -0.2659 0.20819 0.17989 0.067556 0.07542 0.15695 -0.16434 0.11788 -0.38076 0.2524 -0.064696 -0.21195 -0.60048 -0.10318 0.28365 -0.0031162 -0.13186 0.49066 -0.0094459 0.10852 -0.11026 0.09937].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.027682 0.032288 -0.22013 0.2824 -0.0076745 -0.10765 0.030552 0.020465 -0.46421 0.0017223 0.048733 0.20765 0.52494 0.046151 0.43931 0.23956 0.042391 0.064023 -0.012582 -1.6592 -0.13278 -1.3951 0.075715 -0.031445 0.16113 0.00281 -0.22588 -0.14082 -0.0024411 -0.032674 -0.19264 0.29875 0.0093819 -0.04492 0.51227 1.3461 -0.42008 0.018148 0.040914 0.30943 0.28185 0.29656 0.29422 0.32235].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.10645 -0.01683 -0.26715 -0.61885 -0.07583 0.11311 -0.41764 -0.068861 0.39486 0.020053 -0.33517 -0.085311 -0.049164 -0.070133 0.0031686 -0.1678 -0.063947 -0.090107 0.072608 -0.89082 -0.91776 -0.093126 0.15593 0.045879 -0.00013609 -0.0035558 0.017044 -0.58544 0.026409 0.014762 -0.76047 -0.35038 -0.071102 -0.21338 1.0326 0.066643 0.29536 0.0060406 0.10998 0.0055848 -0.23698 -0.04458 -0.36147 -0.061095].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1457 0.01516 0.068048 -0.059589 0.039222 -0.030311 0.3978 0.007164 -0.64059 0.033399 0.23072 -0.096976 0.16066 0.11969 0.0027089 0.16234 0.064972 -0.26774 -0.0017905 -0.25159 0.41318 -0.60732 -0.029588 0.031005 -0.12095 0.0030609 -0.12908 0.52238 -0.15924 -0.013526 0.027878 0.29011 0.06797 0.060147 -0.01275 -0.020198 -0.20801 -0.018568 -0.30454 -0.016411 -0.59539 -0.0074207 0.070903 -0.058004].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.003967 0.0023053 0.09981 -0.094707 -0.0050644 0.010201 0.024824 0.068505 0.26674 -0.0080861 0.074025 0.16707 0.023202 -0.31701 -0.47165 -0.064035 -0.0047218 -0.40692 -0.25702 0.28266 0.039287 0.078785 -0.090081 -0.22344 0.074162 -0.013065 0.35902 -0.18712 -0.023125 0.024268 -0.058177 -0.33351 -0.0023626 -0.0019829 -0.016006 -0.021361 0.25976 0.01663 0.12309 -0.13877 0.11041 0.05108 0.22886 0.090459].
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 [0.36495 -0.016201 0.81818 -0.025751 -0.17668 0.032944 0.0077256 0.078845 -0.0082413 0.025125 0.25779 0.0054705 0.027611 0.10061 -0.28245 -1.3551 -0.029447 -0.092199 0.027943 -0.14485 0.10112 -0.020688 0.60274 0.48021 0.013352 0.00076627 0.44095 0.25902 -0.01123 -0.015171 -0.17721 -0.03681 0.041722 0.90314 -0.084112 0.019031 0.010777 0.11738 0.19364 0.5373 0.04916 -0.71328 0.097853 1.9124].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.21461 0.43825 -0.26838 -0.051627 -0.088309 -0.10894 -0.0094702 0.017953 0.015318 0.01641 -0.18543 0.15425 0.11724 -0.14472 0.95342 0.14758 -0.077505 0.15165 1.5018 -0.12585 0.50127 -0.099429 2.2707 0.28916 0.034549 0.03084 0.074135 0.15991 0.21406 0.072279 -0.05485 -0.27444 0.058739 -0.041176 0.7281 -0.2456 -0.053711 -0.0034504 -0.15369 -0.049691 -0.091413 0.081467 0.027387 0.3024].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.24527 -0.50231 0.069134 0.10595 -0.023407 0.15779 -0.47109 -0.41051 -0.15226 -0.23062 0.090982 0.29284 -0.12933 -1.7411 0.3106 0.010833 0.022804 -0.17022 -0.034037 0.088842 0.053425 0.095866 0.44613 0.043222 -0.022208 -0.040187 0.050305 0.53703 0.002514 0.02348 0.002969 -0.077144 0.07518 -0.11924 0.26646 0.071769 -0.024388 -0.030686 -0.12837 -0.14671 -0.0027371 0.28527 0.034389 0.20111].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.032398 0.044604 0.74721 -0.12434 0.013864 0.11629 -0.36911 0.060162 -0.065548 0.12195 0.015864 0.014305 -0.10179 -0.30062 -0.020061 0.018453 -0.16934 -0.15926 -0.42339 0.65513 -0.048867 0.061282 0.91259 -0.43034 -0.64916 -0.022568 -0.51133 0.15577 -0.40481 0.11738 0.52773 -0.15394 8.992e-05 0.60564 0.77524 -0.052657 -0.14706 -0.019591 0.11086 -0.83997 0.022305 -0.039274 -0.13947 0.81241].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.052434 -0.046643 -0.48664 0.45596 0.17789 -0.14354 -0.0054712 -0.090929 -0.020171 0.012429 0.010528 -0.026571 0.060924 -0.11981 0.022167 -0.033557 0.15335 0.0086076 -0.14521 0.14915 -0.046204 -0.028439 -0.036192 -0.031774 0.055804 0.11481 -0.045439 0.43755 -0.14211 0.44641 -0.26438 0.32146 -0.020371 -0.01223 -0.93753 -0.048898 0.056703 0.043603 -0.23995 0.91284 -0.053653 0.0025552 -0.092125 0.24895].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0033538 0.015896 0.44049 -0.29906 -0.18858 0.0017666 0.32648 0.056218 0.061747 -0.045459 -0.034611 -0.024781 -0.068193 0.14531 -0.18563 -0.25414 -0.38676 -0.19279 0.52799 0.0098931 0.037381 -0.0048673 0.23679 0.37545 0.15758 0.032434 0.0097914 -1.4904 0.046227 -0.42487 0.2418 0.011322 0.033365 -0.29158 -0.15268 0.13361 -0.030743 0.00063929 0.15332 -1.0579 0.029415 0.037044 -0.21227 -0.010446].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.017921 -0.018477 -0.099154 0.60559 0.082885 -0.052587 -0.44231 0.039398 0.0098183 -0.17117 -0.010174 -0.037067 0.073654 0.20446 -0.40854 0.29121 0.29838 -0.13912 -0.019168 -0.1933 -0.0083774 -0.10754 -0.14922 0.010961 -0.037604 -0.093471 0.067841 0.94051 0.43093 0.051315 -0.16124 0.0067915 -0.10636 0.27709 -0.16129 -0.12101 -0.15894 0.00078913 0.25035 -0.024759 -0.042163 -0.013551 0.021664 0.0082708].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.020843 -0.35531 0.026659 0.38408 0.10231 0.043246 -0.091284 -0.060795 -0.039892 -0.13259 0.041604 0.10216 0.061494 -0.032484 0.59227 -0.0098398 0.075223 0.40332 0.051182 -0.16631 -0.045858 0.11407 0.11067 0.058668 -0.23896 0.029648 0.003173 -0.075462 -1.1631 0.63426 0.11328 -0.68159 0.13669 -0.01723 0.055319 -0.008201 0.2017 -0.113 0.12564 -0.3775 0.05407 0.016235 0.24403 -0.0099475].
# Iteration 9:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.039132 0.38931 0.056217 0.10287 -0.10552 0.056232 -0.16549 -0.039863 -0.18675 0.30404 0.0053619 -0.038376 0.0074681 0.043903 -0.21786 -0.20388 -0.038655 -0.80974 -0.0035337 0.33114 0.012983 -0.2321 -0.061051 -0.096295 0.28614 -0.050597 -0.04752 0.11424 -0.025192 -0.14609 -0.18846 0.01516 -0.004412 -0.0026604 -0.01789 0.04715 -0.59934 0.1059 -0.12135 -0.28217 -0.024003 -0.20569 -0.1107 -0.072984].
# Iteration 10:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.041149 -0.12623 0.066612 -0.14027 0.10017 0.033197 -0.38418 0.078755 0.21848 0.14882 -0.039709 0.039631 -0.077862 -0.012041 0.35038 0.21295 0.068007 -0.0584 -0.011906 0.0021599 -0.0097541 0.033796 -0.0062919 -0.39085 -0.079777 0.11045 0.049054 0.024637 -0.042531 -0.1004 0.21415 -0.24343 0.0042345 0.039952 0.015953 -0.11851 0.59097 -0.024477 0.028974 0.71855 0.021832 0.19088 0.14956 0.084831].
# 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/R37_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 80935 s