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R24.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 [7.777184 68.88496 21.75562 15.73259 6.93364 3.934076 4.010885 1.560057 6.877349 0.8807742 4.452194 0.7539818 4.223534 11.04072 7.6696 5.640682 6.730066 16.88409 9.412747 3.086357 0.4232614 6.677134 1.612245 4.599226 1.997344 -0.009220604 22.19994 18.24134 0.2382705 0.9626406 13.31224 7.325374 20.49278 17.94467 2.336849 16.64282 4.353055 4.965097 2.099524 10.54276 88.67398 46.07982 151.7735].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.974275 2.51481 -0.00917941 0.86348 -0.0236316 0.212131 -0.217383 1.55869 0.513476 0.141867 0.207403 1.10615 0.636559 0.708469 1.35091 0.540005 0.451664 1.19231 -0.348265 0.446629 -0.0434143 1.78521 0.450509 -1.03331 -0.0446784 -0.0941773 4.03108 4.82791 0.0994464 -0.0575122 1.24296 1.29953 2.83173 7.61074 0.409859 0.221537 -0.257481 0.0287888 -0.133427 0.00565114 7.47585 7.77785 12.1595].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.022687 0.89113 -0.35055 0.18847 -0.034686 -0.3338 0.2117 -0.011158 0.02355 -0.063634 0.35138 -0.047124 -0.065893 0.020417 1.3984 1.3263 -0.057539 -0.11905 -0.20865 -0.019632 -0.046275 -0.0034522 -0.53448 0.1496 0.1085 0.010508 -0.83006 2.3485 -0.12296 0.15784 -0.1408 0.083644 0.93951 4.1053 -0.12425 0.080713 -0.2236 -0.15115 0.20628 -0.018013 1.9384 1.5445 2.4053].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.02032 0.092158 -0.10504 0.39555 0.054191 -0.043438 -0.18066 0.13564 -0.15884 -0.01737 0.019927 0.58925 0.087556 -0.077252 0.24902 0.94519 -0.41963 0.1412 -0.11367 -0.11563 -0.048745 0.052082 0.12988 0.071167 -0.0075627 -0.012849 0.4743 -0.29522 -0.059631 0.033936 0.10922 0.015161 0.79796 0.081236 -0.4381 -0.00508 0.040127 -0.0072814 -0.06527 0.0041201 0.95215 0.38988 0.68273].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.023142 0.058104 -0.35278 0.029142 0.088655 -0.17627 -0.012789 -0.12464 0.008039 -0.064036 -0.007523 0.12466 0.016563 0.011403 0.12281 0.077622 0.29649 -0.06435 0.20389 -0.34074 0.16951 -0.33563 -0.13065 0.069885 -0.06657 0.066738 -0.40654 0.61491 -0.042185 0.0034383 -0.040436 -0.57462 0.016728 -0.032706 0.15752 -0.26915 -0.18881 0.0015319 -0.025891 0.0068949 0.67648 -0.11462 -0.84861].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.00040035 -0.13681 0.73219 -0.12137 -0.078087 -0.56707 0.10808 0.15521 0.30752 -0.21156 -0.021509 -0.041266 -0.26844 0.076615 0.11002 -0.0088719 -0.080092 -0.42228 -0.55347 0.37345 0.10994 0.25755 0.17538 -0.13864 0.024898 -0.19817 0.36844 0.19237 -0.078279 0.00273 0.031215 0.10655 -0.018525 -0.17362 0.35772 0.025828 0.19852 -7.3587e-05 0.041671 -0.19453 0.25447 0.13922 0.045224].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0099676 0.027126 0.99365 0.10764 0.054486 -0.25962 -0.11325 -0.10933 -0.2045 0.033643 0.032359 0.080129 0.26552 -0.0066872 -0.21852 0.02094 -0.30106 0.46077 0.1508 0.018964 0.08715 0.087196 0.12176 0.095189 -0.053458 0.09778 0.020731 0.11195 -0.047369 -0.0055571 0.011733 0.11111 -0.042148 0.062147 0.048689 0.15971 -0.16562 -0.043412 -0.069896 0.19362 0.062932 0.051223 0.1211].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.047784 0.033255 -0.33735 -0.13278 -0.0093123 -0.025055 0.070804 0.13664 -0.010787 0.063379 -0.0079452 0.046064 -0.01856 -0.019327 0.12174 -0.00015788 0.25242 0.034723 0.052459 -0.17815 -0.18534 -0.027538 -0.1813 -0.069076 0.081877 -0.01228 0.031015 -0.061406 0.040228 -0.050918 0.0029466 -0.91213 0.015025 0.19674 -0.15826 0.053352 0.16921 0.031592 0.094126 -0.0085586 -0.014577 -0.54058 -1.0391].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13624 0.00077584 0.42032 0.0099515 0.031021 0.011917 -0.22885 -0.0081421 0.10561 0.21886 0.0090116 -0.11074 0.01576 0.018283 0.085021 -0.013721 0.033382 -0.007783 -0.10637 0.16229 -0.010404 -0.011136 -0.0027259 0.10478 0.019455 0.090597 -0.026779 -0.94633 0.13106 0.048685 -0.03196 0.54516 -0.070555 -0.16807 0.053627 -0.11992 -0.0047193 -0.0080155 -0.004771 0.016555 -0.021522 -0.73476 -0.11304].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11352 -0.29587 0.10508 0.056845 -0.038679 0.26476 0.28914 0.006805 -0.11038 -0.12519 -0.021004 0.086185 -0.12696 -0.020954 -0.017554 0.0032647 0.039688 -0.05277 0.0058688 -0.066983 -0.026066 0.041477 0.089977 -0.045535 -0.073726 -0.096757 -0.079805 0.087929 0.019904 -0.053484 0.0012221 0.17869 0.056678 -0.22612 -0.24126 0.03469 -0.0011352 -0.0025738 -0.020278 -0.070283 0.02988 0.10055 0.46652].
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 [5.82266 63.2506 14.65736 3.474035 2.637219 4.627018 11.20986 6.571697 7.989958 5.821271 6.418641 5.042368 10.84623 10.12853 62.56384 20.56974 5.566593 11.16962 1.406836 2.45212 5.1976 9.730583 3.961657 3.473791 2.453445 1.300843 30.87483 26.33386 23.31353 4.549755 10.61571 65.27469 6.946144 27.39703 4.968861 5.919255 5.72939 3.367435 2.343872 6.237313 130.6111 60.84107 26.95519].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.416606 3.7528 2.8827 1.28647 -0.328217 0.466718 8.57405 0.736462 1.65693 0.577843 1.26211 1.14158 3.22227 1.15014 22.0448 2.19513 1.65677 2.0401 0.249984 1.58302 0.66293 3.3866 0.185865 0.939855 1.39435 1.57698 2.79308 0.964179 5.4952 2.00203 1.08344 11.8276 0.713749 2.69048 1.3351 -0.479629 0.824875 0.893945 0.580759 1.32628 7.58569 4.30996 16.5135].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.47737 3.77 1.537 1.6889 1.0762 0.03104 2.215 0.23803 1.1928 0.44648 -0.20205 -0.031403 0.99859 0.43608 7.6404 1.1925 0.32361 0.27042 0.054477 0.16736 -0.89005 -0.56471 -0.21879 0.063405 -0.023616 0.40095 2.4239 0.042512 0.9971 0.66943 0.39822 0.69308 -0.12223 -1.6552 -0.0051726 -0.24469 0.43833 -0.15152 0.53951 -0.064371 9.9171 2.3722 1.3611].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.058433 -0.31449 -0.062494 0.51211 -3.1338 0.14625 -0.33275 -0.21945 -0.33911 0.044799 0.33707 -0.17141 0.0057785 -0.12984 0.29069 -0.323 1.51 0.02238 0.055071 -0.002851 -0.0025221 0.0086089 0.40226 0.020314 0.22601 0.53212 0.46006 0.042462 0.69042 -0.27526 -0.054592 -1.5014 0.047187 0.0060479 -0.27464 -0.20175 -0.13832 0.033312 -0.0014317 0.46942 0.41021 0.4756 4.1987].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.00092154 0.85586 -0.0052369 -0.1594 -0.24142 0.52746 0.053541 0.037182 0.25207 0.17373 0.046431 0.33058 -0.36981 0.16022 -0.12108 0.32515 -0.14011 -0.018978 -0.055666 -0.054678 -0.1253 0.18968 -0.38993 0.026391 -0.54269 0.0067321 -0.16864 -0.40475 -0.57611 0.10649 0.058006 0.097354 0.030045 0.28311 -0.098447 0.16125 0.5091 -0.024014 0.029733 -0.022953 0.092112 -0.021825 0.47273].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13279 0.81157 0.17485 -0.019847 0.051215 -0.11439 -2.0531 0.10837 -0.43908 0.00065749 -0.21466 -0.009007 0.039103 0.017122 0.1498 -0.6793 -0.20838 0.0094274 0.016926 -0.10723 0.09153 0.040279 0.25878 -0.02869 0.34503 -0.21336 0.07999 0.10979 -0.082882 -0.32973 -0.048647 0.06268 -0.10143 -0.028273 0.067484 -0.10592 0.53618 -0.22786 -0.11812 0.087694 -0.35595 0.16789 -0.45282].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.17094 0.36041 -0.0511 0.18268 0.08998 0.15663 0.029615 0.046115 0.20049 -0.12337 0.23673 0.0012509 0.8178 0.030154 -0.2762 0.097285 -0.040407 -0.12735 0.03557 -0.031681 0.12544 -0.072182 -0.32533 -0.014267 -0.011856 0.023661 0.10114 0.40357 0.060864 0.49201 0.014742 0.0081396 0.018278 -0.035355 -0.14333 0.070155 -0.82735 0.16067 0.064438 -0.030962 -0.70584 0.20325 0.30099].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.25297 0.022411 -0.14387 -0.03695 -0.013385 0.025117 -0.10648 -0.11374 -0.025633 0.10936 -0.0309 -0.13704 -0.0068422 -0.0013655 0.12905 -0.018061 0.21782 0.11533 0.0086717 0.23418 -0.10429 0.081676 0.069823 0.05991 -0.010002 0.19699 0.031558 -0.22967 0.012558 -0.70026 -0.1734 0.019621 0.0031723 0.048842 0.14266 0.016458 0.57025 -0.0018621 0.084895 -0.003222 -0.1906 -0.4174 0.15191].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.036413 -0.14229 -0.035787 -0.010081 0.047611 -0.035215 0.12439 -0.40866 0.11008 -0.0405 -0.1371 0.13428 -0.0064922 -0.032519 -0.085359 -0.010203 0.084855 0.027482 -0.041532 0.0039302 -0.24208 -0.014133 0.13834 -0.089077 0.012202 -0.10898 -0.071368 0.26074 -0.014174 0.073384 0.20027 0.026801 0.019178 -0.02786 -0.084169 0.050757 -0.033034 0.11039 -0.023733 -0.0091143 0.032406 0.26435 -0.19976].
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 [0.5787 1.7658 0.22041 -0.40845 0.14113 1.0373 0.64039 -0.17356 0.073582 1.2268 0.089591 0.036471 0.060483 0.44671 1.9889 -0.22379 0.2556 -0.23793 0.34863 -0.44714 0.041801 -0.35726 -0.30495 -0.24973 -0.12135 -0.1922 -0.0077188 1.6062 0.83411 -0.0072092 0.26315 2.8157 -0.49434 0.55674 -0.25279 -0.74619 0.11689 0.11845 -0.28278 0.618 2.7594 -0.070055 1.3049].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.10782 0.38609 0.33656 0.021374 -1.432 -0.09372 0.20354 -0.26108 -1.8583 -0.3903 0.12752 0.084251 0.41936 0.15016 0.87951 -0.091538 0.026565 0.24047 0.010087 0.36315 -0.094807 -0.15094 -0.035396 0.19238 0.23194 -1.1345 0.012257 0.060876 0.14044 -0.57665 0.01598 0.31379 -0.086399 1.0167 -0.10221 -0.48118 0.058512 -0.11834 0.39066 0.63892 0.56038 -0.0056357 0.51452].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.075565 -0.50532 -0.056973 0.12247 -0.20583 -0.45837 0.013099 -0.25479 -0.22294 0.069468 -0.046372 0.26556 0.11887 0.075084 -1.1478 0.28363 -0.12451 0.23575 0.11384 -0.13487 -0.31363 -0.25102 -0.15995 -0.069105 -0.029549 -0.099003 -0.062844 0.80552 -0.18462 -1.1839 -0.373 -0.066857 0.12168 -0.92853 0.36346 -0.00123 0.017975 0.0079831 -0.13742 -0.050481 0.034798 0.27359 1.931].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0014887 0.44395 -0.27695 -0.13594 -0.2336 -0.20302 0.059306 0.14039 0.010441 -0.20522 -0.018458 -0.14901 0.031912 0.075888 -0.096267 -0.027926 -0.15811 0.18287 0.16541 0.19627 -0.015857 -0.28084 -0.044822 0.21971 -0.086686 0.11313 -0.9537 0.042695 -0.1654 -0.024065 0.073963 2.1806 0.059688 0.062086 0.29634 -0.088769 -0.031937 0.20315 0.72186 0.08293 1.0976 0.026217 0.14406].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.032793 1.2116 0.47796 0.1461 0.51581 0.10857 0.054182 -0.090624 0.0078499 -0.35705 0.017786 -0.052615 0.0057875 0.19434 -0.071135 0.047048 0.31037 0.21012 0.38368 0.030984 -0.66803 0.39882 -0.0047889 -0.23349 -0.20781 -0.18792 0.77293 0.065128 -0.53012 0.21253 0.031173 -0.061783 -0.01105 -0.12355 0.014353 0.038471 0.087254 0.12732 -0.013103 -0.45858 0.39808 -0.055131 -0.012917].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.015936 -0.075803 0.078186 -0.18167 -0.15426 -0.084815 -0.72 -0.044166 -0.14335 0.29406 -0.15132 0.1766 -0.0022488 -0.13073 0.11016 -0.19538 -0.21657 -0.33359 -0.038824 -0.42475 -0.12657 -0.3333 0.0041487 0.086705 0.32597 0.40611 0.85101 -0.0313 0.20966 0.033203 0.055395 -0.47085 -0.054133 0.062989 0.13385 0.044272 -0.0056046 -0.58947 0.012233 0.46081 0.056057 0.058785 -0.0059878].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.1303 0.13717 -0.13129 0.1234 0.018979 0.19037 -0.56983 -0.027563 0.14246 0.19551 0.15827 -0.20164 -0.079884 -0.073489 -0.093434 -0.016166 0.15234 0.116 0.13802 0.43211 0.10307 -0.033832 -0.099953 -0.048508 -0.55393 -0.29511 0.1153 0.042324 0.055332 -0.30264 -0.02899 0.31076 -0.0024767 -0.42909 0.043726 -0.12712 -0.015887 -0.13667 -0.014536 -0.19249 -0.068542 -0.22266 -0.11175].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1439 0.02184 -0.3151 0.0592 0.088263 -0.19177 0.95112 0.018838 -0.028 -0.16849 -0.020006 0.16118 0.0017242 0.18967 -0.1898 -0.0094606 -0.2373 -0.18422 -0.10677 -0.37101 -0.0042035 0.36084 0.10354 0.14262 -0.00088498 0.07984 0.0083787 -0.050457 -1.3162 0.46115 0.0032186 0.12416 0.061885 -0.28908 -0.68657 0.071292 0.16935 0.17387 -0.29483 0.17959 -0.39744 -0.98404 0.089063].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.014119 -0.21616 0.48805 -0.028016 0.02009 0.086148 -0.32313 -0.42605 -0.13875 0.082645 0.020478 0.011802 0.074838 -0.0045657 -0.45193 0.29153 0.16932 -0.10586 -0.053041 0.24086 -0.26116 -0.0030249 -0.027911 -0.07125 -0.028444 -0.057872 -0.015357 -0.01276 -0.30165 -0.081785 -0.074687 -0.58196 -0.020739 0.66699 -0.18441 0.058613 -0.10013 -0.31414 0.28334 0.017016 0.26684 1.7311 -0.010677].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.043084 -0.4408 -0.33067 0.025645 -0.099679 0.11053 -0.47547 0.66712 0.10814 -0.7179 -0.0074277 0.0086061 -0.044874 -0.24559 0.7134 -0.089181 0.05164 0.088014 -0.15373 0.040829 0.27696 0.024017 0.0063692 -0.011254 0.025925 -0.17179 -0.089726 0.035797 0.05225 -0.7781 0.081162 0.079969 -0.20724 0.52064 0.11579 -0.14107 0.15982 0.12881 -0.047554 -0.015628 -0.57053 -0.084638 0.039221].
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 [-0.075556 0.3787 0.053166 0.13711 -0.49454 -0.40166 0.66961 0.11211 -0.21979 -0.29092 0.021556 -0.044849 -0.00064437 -0.017844 -0.0018266 -0.36155 0.19546 -0.40982 0.14661 -0.076436 -0.69434 -0.6464 -0.35533 0.5491 0.16064 0.054161 -0.054786 0.01985 0.23118 1.2937 0.39948 0.91585 -0.012517 1.0448 0.29849 -0.27912 -0.017086 0.25507 -0.036112 -0.050217 -1.0487 0.72563 1.3772].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.18375 -0.026851 -0.15796 -0.26899 0.040381 -0.94275 -0.14128 0.022788 -0.049913 -0.071076 -0.15374 0.034874 -0.14938 0.13874 0.55422 -0.16275 0.041673 0.084413 0.074114 0.16755 -0.23305 0.018671 0.20419 -0.46246 0.20847 -0.10182 0.34662 1.095 -0.1776 -0.22614 0.047292 0.090716 0.24312 0.95407 0.32009 -0.021739 0.13234 -0.095062 -0.17246 -0.22931 0.020678 -0.10109 2.3805].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11646 -0.52357 0.087108 -0.008338 0.60526 0.13835 0.3612 0.019516 -1.4195 -0.11507 0.16668 -0.24593 0.17815 0.25519 -0.020896 0.2283 0.016486 -0.29072 0.0084679 -0.051276 0.012215 0.07219 0.094506 -0.028903 0.021326 -0.2087 0.091066 -0.095014 -0.05697 0.46 -0.031638 0.40889 -0.17665 0.37072 1.1402 -0.35873 0.60214 0.057386 0.36027 0.2822 0.21118 0.9089 1.669].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.33708 0.33504 -0.06935 -0.040205 0.18436 -0.43301 -0.46716 -0.31294 -0.064318 0.12012 0.044979 0.12622 0.10988 -0.14898 0.2115 0.14747 0.4607 -0.3059 0.02274 0.032477 -0.19613 0.063836 -0.076871 -0.025017 -0.020092 0.31153 0.20721 0.14109 1.0627 -0.070497 -0.0062876 -0.48668 -0.03824 0.57456 -0.38554 0.064271 -0.021805 0.00020833 -0.132 0.18089 -1.8774 0.30966 -0.078313].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.075944 0.2223 -1.9285 -0.0074184 -0.022854 0.34074 0.43868 0.2454 -0.19963 -0.069656 -0.057478 -0.17477 -0.096054 0.27363 -0.13395 0.089322 -0.57788 0.281 -0.029714 0.03509 -0.74449 -0.5286 -0.034607 0.0066981 -0.073633 -0.1761 -0.0045309 -0.67816 -0.61715 -0.028316 -0.20688 0.026326 -0.80679 0.069976 0.00041869 -0.023325 -0.0020745 -0.057578 -0.047559 0.24952 2.7475 -0.15193 -0.36738].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12909 -0.41492 0.062251 0.082013 -0.074261 0.098275 0.0161 -0.2053 0.26143 -0.003578 0.00087854 -0.07564 0.057736 0.040611 0.0090354 0.064781 -0.015951 0.32583 0.029186 -0.019331 -0.1358 0.040722 0.13916 -0.06337 -0.016455 -0.11798 0.0025122 -0.43839 0.050997 0.10286 -0.039376 0.0031295 0.082553 0.34054 -0.034518 -0.036263 0.01395 -0.085706 0.23349 0.064809 -0.19816 -1.4342 0.047463].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.65658 0.32697 -0.010341 -0.068606 -0.3408 -0.034558 -0.011625 0.27406 -0.2205 -0.12945 0.04168 -0.0064422 -0.25275 0.064832 -0.0089407 0.0081154 -0.13891 -0.23952 -0.00069064 -0.040427 -0.10033 -0.41047 0.11623 0.056069 -0.085089 -0.16229 -0.065805 0.073183 -0.18567 -0.1053 0.071922 -0.44677 -0.075157 -0.061754 0.061244 -0.35315 -0.30144 0.04188 -0.4383 -0.38495 0.020637 0.68975 0.10387].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.075631 0.0018186 -0.035489 -0.035686 0.26162 -0.025482 -0.054131 0.0388 0.10782 -0.11701 -0.020594 0.074169 0.25855 -0.49057 -0.10369 -0.29163 0.17546 -0.45131 0.0011194 0.026342 -0.23866 0.37853 -0.2153 -0.15968 0.050047 0.29719 -0.88685 0.35548 0.16884 0.16497 0.16182 0.55341 -0.14933 -0.55392 -0.33156 0.28551 0.24797 0.050547 0.56738 0.35916 0.19878 0.13627 0.094204].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.076003 -0.10243 -0.0048266 0.096941 0.11042 0.061234 0.072415 -0.10775 0.055427 0.2427 -0.0511 -0.18691 0.036714 0.2296 0.14417 0.24834 -0.0019947 -0.64636 -0.0089562 0.027707 -0.012997 0.069068 -0.087348 0.23098 -0.20081 -0.13195 0.033229 -0.53344 -0.0066428 -0.010071 -0.059559 0.35936 0.17093 0.02629 0.27693 0.12291 -0.080931 -0.0098571 -0.11204 -0.10113 0.058773 0.058417 -0.12726].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.025722 -0.10007 0.036714 -0.022766 -0.11016 -0.16696 -0.036041 0.019595 -0.050744 0.062002 -0.037016 0.097486 -0.13532 0.32443 -0.10972 -0.22518 -0.048906 -0.03704 0.01037 -0.15333 -0.37722 -0.0076183 -0.23041 -0.093993 0.29512 0.3978 0.063942 -1.4777 -0.06891 -0.28599 -0.10202 0.61484 0.063791 -0.19532 -0.11492 -0.18099 -0.00010195 -0.0030221 0.075589 -0.27199 -0.72507 -0.23547 0.18052].
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 [0.15845 -1.4828 0.83878 -0.065004 -0.22492 0.049282 0.25999 -0.0054788 -0.013864 -0.60283 0.13093 -0.057961 -0.15538 -0.45672 0.40857 -0.61673 0.13535 -0.3499 -0.22598 -0.037856 -0.22464 -0.97439 -0.0789 -0.11705 0.14161 0.38176 0.27108 2.7566 0.59926 -0.537 0.42968 0.4087 -0.021983 0.061782 0.092363 -0.84123 0.15713 -0.22395 0.11247 0.12215 -0.098183 0.013865 0.35291].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.38875 0.27058 -0.044581 0.12975 0.048621 0.021687 0.020039 -0.34917 -0.026031 0.012555 0.22746 0.32003 0.047401 0.42902 0.63856 0.31548 -0.074432 -0.096351 -0.057766 -0.035663 -0.32194 0.17756 0.011792 0.089886 0.012493 0.053661 0.27075 0.042141 -1.1153 0.29828 -0.105 -0.18543 -0.083035 -0.67355 0.12821 0.0080553 -0.00078428 0.067453 0.018681 0.056091 0.3504 -0.26879 0.13749].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.23476 0.1567 0.091802 0.0059488 -0.095938 -1.003 -0.86209 0.037601 -0.47163 0.24606 -0.031772 -0.086536 -0.072422 -0.21382 0.63813 -0.10077 -2.0043 0.83445 0.17001 0.13486 -1.3068 0.19227 -0.25871 0.016537 -0.036745 -0.64311 0.24721 -1.0245 0.08581 0.11457 0.16679 0.69533 0.071539 0.30782 -0.87669 0.18663 0.28692 0.024549 0.022217 -0.044353 -0.35868 -0.23106 0.012839].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.20933 1.2466 -0.13972 0.36446 0.058728 -0.36606 0.18386 0.11053 -0.67332 0.0046848 -0.072775 0.54878 -0.30742 -0.049388 0.22035 -0.15144 -0.069805 0.16714 -0.0020143 -0.0069915 0.049248 -0.10856 -0.014719 -0.6142 0.050579 -0.20696 -0.26401 0.031187 -0.18791 -0.082145 -0.33284 -0.24992 0.014049 -0.64892 0.29022 0.31934 0.35079 0.09738 -0.20443 0.08793 0.53043 0.86709 -0.63827].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.071741 0.11262 -0.53972 -0.46101 0.023554 0.28117 -0.094818 -0.25515 0.32511 -0.08099 0.27328 0.099008 -0.10337 -0.43954 0.078988 0.11196 -0.17333 -0.13409 0.020189 -0.22221 -0.66936 0.078107 -0.071973 0.053378 -0.028582 0.13752 0.2946 -0.0027479 0.30782 -0.10738 -0.014589 -0.034373 0.012888 0.043484 -0.15954 -0.067326 0.037486 0.018317 0.30396 -0.10448 0.054624 0.019363 0.49193].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.007878 -0.0064248 -0.39017 0.33848 0.078241 -0.068035 0.082349 -0.55956 -0.0033322 0.12061 -0.72005 0.081054 0.24286 0.34941 -0.10166 0.037308 -0.077458 0.059531 -0.29412 0.2469 -0.19791 -0.42054 0.075161 -0.052377 0.054275 0.063957 -0.028927 -0.006005 0.16667 0.11872 0.15509 0.050012 -0.0718 -0.20321 0.19145 -0.30318 -0.055894 -0.15466 0.043001 0.10728 -0.38006 -0.14729 0.13127].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.09516 -0.15428 0.40543 -0.21439 -0.013413 0.24457 -0.0027893 -0.60637 -0.12964 -0.044648 -0.20518 -0.039617 0.16856 -0.99655 0.19573 0.0097149 -0.9793 -0.069031 0.22065 -0.055969 0.1598 0.25316 -0.002271 -0.016662 -0.26512 -0.077508 -0.21915 0.015556 -0.75244 -0.37363 -0.025296 -0.0076574 -0.45062 0.20276 -0.036411 -0.19058 -0.067005 0.038997 0.024585 -0.0088542 0.7337 0.059163 -0.0020507].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0044946 -0.22949 -0.0033583 0.13788 -0.29819 -0.41122 -0.038472 -0.28897 0.070398 -0.27065 0.28205 -0.19314 -0.49036 -0.079088 -2.3044 0.024425 0.015058 0.22792 0.11935 0.048866 -0.084873 0.3552 0.0073315 0.053202 0.26919 0.087724 0.077219 -0.0068435 0.26788 0.23702 0.0056319 -0.36248 0.42449 -0.085177 -0.12043 0.38275 0.10697 0.079845 -0.18784 -0.23062 0.79884 0.065381 -0.046222].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.040583 -0.13875 -0.13827 0.48777 0.21886 0.39156 0.039678 0.2194 -0.37309 0.14147 -0.012288 0.47208 0.11421 0.35604 0.20482 0.021266 0.03638 -0.12422 -0.07326 -0.017075 0.028436 -0.86694 -0.038619 0.0146 -0.090329 0.17956 0.0024273 -0.026184 0.30697 0.087927 -0.041042 0.38281 0.070319 -0.081588 0.047287 0.062559 -0.21201 -0.051604 -0.043808 0.23779 0.58131 0.029844 0.046946].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11451 0.48505 0.14605 -0.72667 0.11852 -0.22512 -0.050823 -0.08546 0.022361 0.096376 0.072437 -0.7396 0.41307 -1.122 0.17011 -0.12144 -0.20319 -0.048459 0.09029 0.012304 0.079972 -0.066524 0.0057153 -0.0013003 0.023591 -0.13432 0.085432 -0.016262 -0.014772 -0.13571 -0.0092995 -0.049537 0.018871 0.12352 0.043323 -0.15809 -0.2423 0.033065 0.22174 -0.05309 0.018788 -0.0040591 -0.47163].
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 [0.17765 -0.18156 -0.062956 -0.07889 0.012494 0.083673 0.093251 0.22758 0.043201 -0.10441 0.034081 0.052747 -0.0098833 0.025587 0.1218 -0.67355 0.17274 -0.061437 0.23219 0.052139 0.078277 0.095986 -0.025522 -0.049481 -0.095828 -0.17789 0.25203 1.4293 -0.15862 0.052288 0.0043069 0.066649 0.15656 0.048303 -0.017688 -0.90299 -0.10064 -0.015274 -0.14816 0.19361 -1.3372 0.01594 -0.54382].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.30756 1.3793 0.013322 0.018167 0.26907 0.26986 -0.03519 0.17479 0.0094328 -0.031092 0.036297 0.00779 0.13205 0.0084212 0.1302 0.093997 -0.10574 1.1782 0.0027769 0.24949 -0.28254 0.153 0.20279 0.049649 -0.050261 -0.088085 0.0020179 0.33103 0.00036906 0.00035773 0.054266 1.1394 0.29792 -0.32757 -0.22527 -0.078839 -0.34822 -0.28513 -0.13153 -0.21331 1.1839 0.89305 -0.19131].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.35672 -0.059862 -0.23549 -0.069943 0.17397 0.23278 -0.13868 -0.10471 -0.79395 -0.47649 0.12285 -0.40414 0.299 -0.84655 1.5947 0.078151 -0.52072 -0.051195 0.085651 0.86408 -0.12919 -0.045909 -0.070518 -0.046955 -0.035055 0.2007 0.73401 -1.381 -0.21792 0.32276 0.082548 0.68571 -0.015476 0.20094 -0.21397 0.0081961 -0.46872 -0.40457 -0.037342 0.12121 1.3672 0.40378 -0.31643].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12929 0.7746 0.17257 0.23258 0.019054 0.22581 0.65226 0.35005 0.11343 -0.14189 0.10904 -0.1501 0.13023 -0.47188 0.17367 -0.24344 0.1291 -0.027662 -0.11267 -0.15444 -0.18418 -0.068968 0.022631 -0.23348 0.00089175 0.078959 -0.18624 0.46104 0.491 0.052817 0.066212 -0.095573 0.0010789 -0.13435 0.51187 0.032965 -0.06632 0.10951 0.014851 -0.52654 0.1666 0.1823 -0.039249].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.061801 0.88721 0.1218 -0.1177 0.049012 -1.3776 0.16646 -0.071793 0.20201 -0.48361 -0.099547 0.12977 -0.18306 0.31093 -0.07919 -0.19562 -0.78023 0.14532 -0.058198 0.14759 0.0080801 0.095294 0.055844 0.050812 -0.055485 0.031871 0.25918 -0.035979 -0.14072 0.25872 -0.057606 0.11008 -0.13297 -0.21389 -0.13169 -0.038588 0.35291 -0.019798 -0.34059 0.036244 0.045109 -0.36769 -0.069438].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.01533 0.822 -0.02211 0.18594 0.10871 -0.58173 -0.033547 -0.03045 -0.037784 0.68488 0.071461 0.034438 0.29302 0.1572 -0.17984 0.32757 -0.23352 -0.22358 0.074654 -0.15821 0.18248 -0.048037 -0.25452 0.55881 0.041086 -0.14904 0.027876 0.047234 0.038396 -0.26803 -0.07648 0.028279 0.14216 -0.1411 0.19693 -0.017625 -0.25438 0.015661 0.20373 0.012144 -0.0222 0.37988 -0.26696].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0050078 0.32705 0.043117 0.011611 -0.46481 0.0579 0.022281 0.080884 -0.30834 0.084395 -0.011004 -0.023896 -0.16104 -0.18899 0.15294 0.067224 -0.1661 -0.21361 0.075263 0.10966 -0.12244 -0.095698 0.25464 -0.026156 -0.0078531 -0.12679 -0.70063 -0.077049 0.10377 -0.48801 -0.51333 -0.4094 -0.26023 0.85478 -0.0039876 -0.075274 -0.15093 -0.13586 -0.52111 0.0082084 0.012538 0.0024718 0.13661].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.086314 -0.29087 -0.078637 -0.017482 0.4601 0.77691 -0.025131 -0.27757 0.12636 0.010122 0.028594 -0.018095 0.1542 0.20817 0.086776 -0.085803 0.41233 0.10075 -0.046775 0.0097238 0.080539 0.056985 -0.27665 -0.048497 -1.2403 0.18553 -0.15129 -0.71053 -0.034189 0.72948 -0.12199 0.43256 0.26584 0.69494 -0.074486 0.12074 -0.013714 0.13135 -0.16327 -0.086688 -0.17579 -0.21278 0.23309].
# Iteration 9:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.015152 0.33867 -0.14031 -0.046279 -0.12397 0.06952 -0.36318 0.23888 0.25983 -0.45358 -0.052006 0.033154 -0.049474 -0.095172 -0.38563 0.11252 0.033352 0.3395 0.20818 0.054363 -0.13076 -0.0029656 0.10365 -0.0092363 0.063625 -0.017106 -0.22467 0.088911 -0.14032 -0.9199 0.10889 -0.03854 -0.058543 -0.45572 -0.31142 -0.00089715 0.1948 -0.04676 0.20446 -0.056345 -0.0081179 0.075396 -0.00070497].
# Iteration 10:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.18443 -0.5533 0.17052 0.02648 -0.50107 -0.50292 0.33616 -0.068615 -0.056651 0.47503 0.036867 -0.0084987 0.00089303 -0.057991 0.37225 0.020358 -1.0695 -0.15214 -0.46455 0.0043837 -0.055015 -0.00073669 0.12585 -0.016375 0.062983 -0.21177 -0.75872 -0.016389 -0.004116 -0.0080929 0.0094423 -0.49678 -0.35257 0.29384 0.3001 -0.015704 0.068474 0.03133 -0.25942 0.035629 0.17449 0.16816 -0.021816].
# 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/R24_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 25931 s