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R16.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...
{Error using getProposal
The logical indices contain a true value outside of the array bounds.
Error in initializeAlignment (line 7)
parfor ll = 1:L
Error in Stacking (line 12)
QQ = initializeAlignment(data,data_part,param,target,setting);
Error in BIGMACS (line 28)
[data,samples,param,target,setting] = Stacking(inputFile);
Error in main (line 8)
BIGMACS(inputFile,inputMode,'show');
Error in run (line 91)
evalin('caller', strcat(script, ';'));
}
Time elapsed = 43 s
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 [63.9202 69.9149 11.6188 36.0945 18.8214 39.9177 8.66374 23.5717 6.85846 11.5433 2.49573 19.0061 60.4427 17.6247 18.2789 33.0008 76.3902 56.1933 16.2287 10.108 3.01909 8.08695 26.7034 11.5174 25.4181 33.2073 4.88228 59.7576 3.29327 13.6156 2.62105 5.22005 4.60205 6.30739 16.0506 9.22018 17.0986 32.6167 16.7098 7.71898 10.3007 26.0861 41.636 98.4502 6.09968 -0.819677 36.7988 38.3527 19.1599 2.50694 10.979 8.21174 8.0808 7.5503 1.21726 9.71195 12.3132 5.08425 23.5974 23.6933 43.9136 48.0689].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.768511 0.40779 0.413443 0.71179 0.84819 0.821155 0.0558219 0.316174 0.0550924 0.202709 0.179919 -0.166683 0.59356 0.736395 -0.715503 0.457465 2.15377 1.57021 1.21682 0.0295426 0.616874 0.0679236 1.05156 1.7314 0.991377 0.663145 -0.130846 0.67189 -0.0197286 2.01443 -0.00956921 -0.170614 -0.380848 0.548309 -0.564462 0.881078 0.898622 0.557084 0.380426 0.696208 0.14986 2.85481 2.28136 1.71011 0.104884 1.05822 1.38289 0.487609 0.429201 0.446193 0.360249 -0.0287816 0.795673 0.0297263 -0.00241529 -0.482657 -0.223977 41.1806 1.82251 0.13896 1.02683 0.411021].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.031386 -0.0089865 -0.084361 0.55913 -0.037914 0.092505 -0.55092 -0.30349 0.045585 -0.11703 0.077414 -0.091975 -0.18593 0.051183 0.068226 -0.034581 0.0084796 -0.098837 0.076437 -0.007372 -0.013603 0.016768 -0.094865 -0.0040437 0.4307 -0.012643 -0.016085 0.51162 0.0012481 0.12463 -0.61331 -0.017531 -0.066089 -0.18491 -0.0022778 0.34248 -0.11718 0.089632 -0.059407 0.0062983 0.12449 -0.0029261 0.075551 0.039961 0.083802 0.39094 0.040065 0.13202 -0.01407 0.020782 0.065178 -0.040934 -0.137 0.217 0.0089084 0.024275 -0.062592 0.34402 -0.3411 -0.0051607 0.22569 -0.075335].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.23766 -0.0038277 -0.011077 -0.14618 0.0054595 0.13655 0.063262 0.030044 0.094957 -0.05077 -0.008206 -0.10102 0.5588 -0.24041 -0.015583 -0.014494 0.055135 -0.099306 -0.030981 -0.011055 0.17571 -0.1578 0.00039882 -0.0024088 0.076496 0.065583 0.059085 0.68678 -0.0016796 -0.49757 -0.27121 -0.020839 -0.039805 0.081333 -0.13936 -0.041458 -0.012971 -0.015562 -0.26263 -0.022765 -0.087071 -0.30379 -0.31445 -0.0031052 0.019636 0.4679 -0.11976 -0.51292 -0.013887 0.1599 0.16509 0.0062471 0.020321 -0.00029745 0.0054945 -0.095332 0.14782 0.77237 0.5016 -0.11873 -0.5515 0.082155].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.36717 -0.093335 -0.016937 -0.17401 0.0080692 -0.026162 0.16956 -0.28781 -0.529 0.054006 0.069454 -0.31221 -0.23827 0.18153 -0.19279 -0.032769 0.016524 0.12167 -0.022665 -0.045715 -0.061598 0.17479 -0.04227 0.041047 -0.02272 0.00029255 -0.037609 -0.018828 0.0017807 0.53184 -0.3091 -0.0086364 0.13421 0.00092233 -0.049948 0.12151 -0.079797 0.033341 0.17973 0.17492 0.013314 0.34213 0.23019 -0.13217 -0.00040544 -0.45805 0.023193 -0.1643 0.016503 -0.17582 0.042343 0.22337 0.012957 0.0094955 -0.00038537 0.0085804 -0.44801 0.080437 0.82402 0.039175 -0.063639 -0.69715].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.36083 0.051595 0.028809 -0.08269 -0.015528 -0.10093 -0.11681 0.45168 0.33516 0.013324 0.077232 0.23472 -0.1092 0.054022 -0.29506 0.043242 -0.00063773 -0.0057863 -0.2831 -0.10766 -0.031823 -0.069083 -0.020328 -0.0068807 -0.019068 0.0007276 0.051439 0.042643 0.0012122 -0.075866 0.58668 0.025054 -0.24583 0.15266 0.2016 0.0076715 0.10355 0.00027718 0.052163 -0.35144 -0.29307 -0.055743 0.049338 0.14258 -0.060857 0.52699 -0.15807 0.25137 0.0052607 0.17831 -0.23614 0.024154 -0.48713 -0.0071648 0.00029124 0.10339 -0.49887 9.8507e-05 -0.027582 -0.28997 0.090883 0.24184].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.016612 0.018373 -0.026286 0.27201 0.012001 0.085679 0.10883 0.063839 -0.17055 -0.0082063 -0.14587 0.23473 -0.74119 -0.024446 0.50217 0.0036953 -0.29397 0.0029081 0.30512 0.11087 -0.038345 0.074952 0.04129 -0.00067921 -0.077137 -0.066862 0.015972 -0.029373 -0.0081866 0.07707 -0.069262 0.0067484 -0.029358 -0.26345 -0.086316 -0.10435 -0.12444 -0.01254 0.1068 0.12155 0.27368 -0.047622 0.022913 -0.061148 -0.007293 0.083594 0.16255 -0.0093792 -0.015017 -0.11053 -0.13955 -0.034021 0.47544 -0.028385 0.00022953 -0.015859 0.65354 -0.036516 -0.092984 0.31801 0.068089 0.013606].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.065946 -0.031119 -0.087976 0.2214 -0.022059 0.031832 -0.2958 -0.1251 -0.15192 -0.080094 0.14832 -0.56937 0.24255 0.027757 0.096089 -0.0019922 0.25672 -0.19266 -0.021094 0.0020037 -0.073203 -0.095791 -0.024092 -0.16041 0.038671 -0.011827 -0.11471 0.02299 -0.0016069 0.0016759 -0.019738 0.0022045 0.030665 0.12479 0.082898 0.077228 0.11325 -0.052887 -0.1756 -0.17908 0.1229 0.026423 0.10549 0.077177 0.049129 0.0044643 -0.4826 -0.11458 -0.015549 -0.12041 0.41742 -0.23533 0.17964 0.007202 -0.0057895 0.01462 -0.3374 -0.29103 0.14726 -0.10318 -0.1722 -0.0083689].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.22142 0.066758 0.049267 -0.25021 0.015025 -0.011042 0.17567 -0.23487 -0.088633 0.086215 -0.46457 0.015599 -0.012022 -0.0057767 0.1018 -0.011448 0.026999 0.087836 -0.028725 0.018717 -0.028753 -0.018868 0.051901 0.082935 0.074017 -0.19209 0.028063 0.0069999 0.0087791 -0.010224 0.079573 0.00070599 0.23342 -0.0028658 -0.015155 0.019497 -0.025318 0.025792 0.078708 0.27422 -0.12415 0.036161 -0.036699 -0.090886 0.016572 -0.068006 0.58996 0.1151 -0.038462 0.0044443 -0.16443 -0.43183 -0.25545 0.020001 0.0061403 -0.0019326 0.58368 0.24176 -0.001311 0.12779 0.13873 -0.034866].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.29791 0.0027116 -0.022675 -0.10845 -0.027441 0.023878 0.13904 0.076317 0.24276 -0.026247 0.26484 -0.0012925 -0.20356 0.00062415 -0.18202 -0.0099199 -0.016783 0.096704 -0.038678 0.02163 -0.034863 -0.19241 0.0098091 -0.0041688 0.009698 -0.039796 0.059226 -0.06014 -0.0034809 -0.043244 -0.12838 -0.0035459 -0.14179 -0.30783 0.012634 -0.074409 0.041039 0.0096701 0.025237 -0.22303 -0.092328 -0.029208 0.046912 0.082119 -0.0057009 0.069047 -0.0029704 -0.1267 0.039928 0.20349 -0.29356 0.55259 -0.063779 0.0015206 -0.0024747 -0.076859 -0.039062 0.080685 0.0008383 0.04112 0.022874 0.023344].
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 [99.60917 77.7996 20.8569 58.33959 78.09966 59.87994 8.832805 28.13748 20.367 39.45362 28.00227 38.88903 86.03988 17.52356 23.90936 34.4849 55.99333 45.12456 63.50419 18.11068 42.539 41.63472 49.96817 54.60403 69.59438 49.9423 2.486815 258.3428 1.501418 67.82603 14.46683 11.60575 10.03663 7.310884 23.53256 18.10318 8.908695 23.27592 13.51821 12.29835 11.01706 36.44477 52.36987 111.1114 10.55997 11.36004 34.78101 31.22736 26.28784 37.85764 50.72911 4.293418 19.23196 6.381177 1.337438 8.290794 25.99717 638.8721 101.2878 35.87448 105.6955 69.80554].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [6.01031 1.30034 2.03952 1.94196 6.83932 -0.604899 0.208789 0.472896 1.14543 1.33719 1.74502 1.15096 5.7448 1.97983 2.10548 2.25693 3.04143 3.92201 1.1829 0.542439 2.66746 1.5417 3.21052 5.05036 5.80691 3.4843 -0.0621474 14.4255 -0.015401 4.89115 1.60477 0.439073 0.533894 0.32818 3.26731 1.23375 1.97749 2.63952 3.17843 0.698539 0.560103 4.55868 2.70446 1.26427 -0.550622 -0.620186 1.74036 1.76635 2.2797 3.07096 0.406174 0.517068 0.414018 0.591041 -0.022686 0.0844829 0.54812 69.3809 3.44105 0.847691 11.4597 5.51316].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11339 -1.8705 0.056675 0.15707 2.7774 -0.20797 0.059909 3.2334 0.041979 0.1967 -0.85694 0.71022 0.8801 -0.022158 0.83914 0.078711 1.4325 1.1046 -0.070456 0.27988 -0.093413 0.27692 -0.029611 0.66687 1.8153 0.73982 -0.069069 1.0483 -0.00052991 4.1692 -0.091629 0.27079 0.35781 -0.062629 0.39864 0.37203 0.21101 0.72647 -0.34837 -0.29827 0.93452 0.90958 -0.39001 0.35889 0.033567 -0.037973 0.29592 0.27477 -0.75085 -0.11724 -0.48158 -0.15597 1.0295 0.12421 0.0095281 0.027365 -0.097654 3.8343 0.024899 -0.56118 2.8742 0.55035].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.015937 0.11127 0.083687 -0.060939 0.0090753 -0.25197 0.021491 0.05097 -0.17687 0.17673 0.052874 -1.1526 -0.35378 0.037791 0.52668 0.12039 0.066723 0.75081 0.58056 0.12257 0.0020439 0.1796 -0.62847 0.66992 0.25433 0.51542 0.22501 -0.038622 0.0020561 0.52601 -0.00058031 -0.05829 0.012402 0.55584 0.053576 0.85076 0.21928 -0.11325 0.091993 0.012111 0.2221 1.8098 -0.069196 -0.19638 0.02976 -0.0082744 0.72525 -0.034924 0.052607 0.15 0.043955 0.18932 0.0015565 0.11565 0.00035173 -0.058764 -0.3601 1.0513 -0.36361 0.030374 -0.091507 0.12051].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.088511 -0.31651 -0.040655 0.29578 0.0033313 0.16716 -0.040654 0.067254 0.29797 0.080504 -0.047814 -0.069435 0.24534 0.084341 0.2064 0.16176 0.030137 -0.61597 0.13104 -0.17997 0.17643 0.22511 -0.081543 -0.32339 -0.013563 0.041578 -0.10829 0.21955 -0.0061131 0.25446 0.023435 0.068124 -0.56619 0.12897 -0.18018 0.025647 0.012807 0.10156 0.41343 0.0067861 0.10586 -0.020945 0.12665 -0.24349 -0.015804 -0.087604 -0.1626 -0.19981 0.027484 0.0039085 -0.0073032 0.0034903 -0.12107 0.1298 -0.0040444 0.03455 0.4368 1.32 -0.21956 -0.26814 -0.049505 -0.15335].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.022236 0.34296 -0.17134 -0.0063678 -0.025738 -0.30699 0.045774 -0.20584 -0.082618 -0.26193 0.0030197 0.087263 0.051499 0.020562 -0.15633 -0.053683 0.010252 -0.21224 -0.16933 0.21475 -0.59247 -0.72189 -0.20393 -0.18659 -0.010309 -0.53305 -0.11532 -0.0086332 -0.0049878 -0.011642 0.00015471 0.042872 -0.13054 0.0058517 0.20398 0.012457 -0.023761 0.010336 -0.33811 -0.010652 -0.053598 0.042154 -0.43422 1.1933 0.015778 -0.20107 0.23578 0.30112 -0.039111 -0.074478 0.03811 0.00050663 0.1197 -0.6474 0.005295 0.0011695 -0.14976 0.4432 0.36702 0.2447 -0.16195 0.15394].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.067038 -0.12072 0.16769 -0.3365 0.018854 0.1668 -0.017027 0.13461 -0.26986 -0.16041 0.067233 -0.12 -0.85115 -0.041825 -0.35793 -0.30028 -0.0174 0.20098 -0.31892 0.069824 0.16223 0.31886 0.56822 0.24589 -0.10719 0.25098 0.079926 -0.00090752 0.013138 0.0020945 0.0096853 -0.0040672 -0.46263 -0.023446 -0.36149 -0.046024 0.040384 -0.19908 -0.83648 0.014587 0.12637 -0.37541 0.267 0.056327 -0.42226 0.067067 -0.017055 -0.060215 0.12392 0.070683 -0.016369 -0.17545 -0.11549 0.029581 -0.01673 0.0071148 -1.0596 -0.075383 -0.31277 -0.14822 0.14798 -0.059102].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.2395 0.10331 -0.024147 0.042783 -0.24286 -0.094894 0.013294 -0.03712 0.095595 0.41834 -0.0042921 0.12558 -0.064388 -0.18414 0.50875 0.35714 0.021689 -0.078927 0.39407 -0.00046997 -0.026966 0.043879 0.0080431 -0.39889 -0.03424 0.11044 -0.20427 -0.15069 -0.00081979 -0.27453 -0.040424 -0.0085276 0.68607 0.0029336 -0.34587 -0.16954 -0.33019 0.080635 -0.013514 -0.018057 -0.12869 -0.057865 0.14578 0.0058843 0.40536 -0.10329 -0.17189 0.048508 -0.21265 -0.20729 0.013846 0.0090094 0.11122 -0.068868 0.012008 -0.046313 -0.0028656 -0.29706 -0.14777 0.14214 0.095426 -0.15824].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.23663 0.023789 0.05798 0.26813 0.23238 -0.68046 0.013557 0.00067681 0.33917 -0.28557 -0.16374 -0.053312 0.077688 0.22778 -0.066738 0.0012388 -0.15946 0.10615 -0.035515 -0.054977 0.038203 0.10951 0.065505 0.61093 0.162 -0.082516 0.22565 -0.4516 -0.0001185 0.27544 0.034312 0.018625 0.38227 0.018897 0.50859 0.20834 0.27849 0.11935 -0.11803 0.0092618 0.044798 0.42705 0.019461 -0.039724 -0.24028 0.35251 0.14292 -0.022904 -0.12747 0.20637 0.0094938 0.074208 0.0058641 0.074696 -0.00010203 0.041151 0.09726 -0.31311 0.20338 0.005987 -0.29901 0.21171].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.18814 -0.015481 0.016588 -0.35616 -0.013404 0.012407 0.0040755 0.016561 0.032346 0.27308 0.16707 -0.21064 0.010442 -0.045515 0.051996 -0.00062473 0.11757 -0.15458 0.12276 0.05792 -0.11909 -0.0065341 -0.04911 0.26204 -0.021284 -0.12235 -0.080219 -0.063071 -0.0011655 -0.27968 -0.0058218 -0.069161 -0.5792 -0.0053017 0.021004 -0.021135 -0.10494 -0.010776 0.15571 -0.027504 0.034025 -0.20573 -0.35205 0.038726 0.074915 -0.027598 0.063838 -0.0078853 0.18838 -0.026055 -0.0051278 0.072952 -0.020209 -0.033537 0.0048319 0.010867 -0.040401 0.47575 0.06132 -0.00025047 0.29971 -0.065344].
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 [0.22169 0.79918 -0.642373 0.447532 0.79759 0.491496 0.434844 0.194152 0.0219734 0.0803382 0.160547 -0.201195 0.429596 0.356164 0.171804 0.0296576 0.350128 0.495086 0.685689 0.317398 -0.0815816 0.354823 -0.228479 0.570013 1.38062 -0.688898 -0.0259224 0.0122527 0.101943 0.752928 0.111344 0.398119 0.0504362 -0.161008 1.75578 -0.099335 0.0431434 0.151566 -0.177286 0.00252463 -0.0457029 6.23052 0.141831 -0.16513 -0.116541 -0.0345005 -0.913457 0.502314 -0.0445051 -0.0776325 -0.0523318 0.0817501 -0.332569 -0.00263792 -0.0200653 0.0226027 -0.0243894 24.0442 0.137206 0.0126594 0.868306 0.789936].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.192606 -0.412191 -0.109064 -0.408791 0.312064 0.0462843 0.0554077 0.0206792 -1.05019 -0.387259 -0.0738406 0.226152 -0.121198 0.0408224 -0.048505 -0.117584 0.1703 -0.102485 0.0448666 -0.141423 0.28321 -0.109696 -0.106998 0.00680937 0.0347427 -0.406975 0.179152 1.19752 -0.00179906 0.236414 0.00331504 -0.0410068 -0.0141742 0.0357288 -0.00576539 0.00196142 -0.401 0.117344 -0.0626926 -0.00606162 0.116431 -0.101166 -0.035094 -0.177864 -0.727085 0.145039 -0.0192399 0.0952281 0.150623 -0.532284 -0.0410024 0.0363905 -0.881907 -0.170034 -0.000825615 0.0691662 -0.104521 43.8758 0.445039 -0.0434259 1.25334 0.142029].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.10513 0.051026 -0.24941 0.051514 -0.042118 -0.11358 -0.066077 0.028558 0.047855 -0.11531 0.023616 0.090075 0.27686 -0.024146 0.04014 0.33938 -0.12483 0.030918 0.017488 0.16393 -0.041183 0.47603 -0.11687 -0.84215 -0.19595 -0.28874 0.031726 0.038655 -0.014831 0.28366 0.1345 -0.00089237 -0.0011022 -0.14879 -0.197 -0.3507 0.31165 -0.088811 0.20311 0.05442 0.0038011 0.95931 0.0096103 -1.6149 -0.018064 -0.341 -0.0085364 0.070217 -0.10533 0.27946 -0.032321 0.41853 0.11029 0.0078715 -0.00045608 -0.065303 -0.0063876 0.49223 0.42157 -0.15637 0.69632 -0.17167].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.20855 -0.21697 -0.060929 0.39414 -0.070683 -0.10759 0.070582 -0.12095 0.048042 0.2916 -0.0073283 0.029179 -0.3481 -0.20516 0.04406 -0.12172 -0.17131 0.43788 -0.011155 0.10289 -0.9173 0.29334 -0.13659 0.12103 0.1491 -0.066141 -0.0046253 -0.23611 -0.11846 -0.018179 -0.036573 0.1694 -0.029452 0.21693 0.26141 0.14462 -0.01532 -0.058483 0.018471 -0.011118 -0.18355 0.52437 -0.34274 -0.021388 -0.16707 0.015112 -0.061894 0.0028551 0.27796 0.51635 0.017887 -0.001523 -0.10609 -0.18881 0.0073083 -0.075717 0.0004531 0.41478 0.53769 0.056442 -0.062962 0.057529].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.32211 -0.28424 0.028814 -0.5748 -0.40954 -0.19097 -0.074746 0.12009 -0.32799 -0.021607 -0.047267 -0.19636 0.097548 0.18345 0.0066955 0.30144 -0.22944 -0.59375 -0.17323 -0.77658 -0.14347 -0.066294 0.10354 0.05317 -0.019737 0.15779 0.0047036 0.22287 0.080989 -0.15756 0.0041184 -0.46157 0.078478 0.3517 0.024571 0.0022561 -0.061236 -0.026432 -0.10797 -0.0039142 0.35638 -0.13228 0.31842 -0.089593 0.23941 -0.084497 0.027506 0.049499 -0.61833 0.12215 -0.14747 -0.00094166 0.10752 0.25439 0.013548 0.05064 -0.043968 -0.024101 0.31859 -0.053886 -0.39596 -0.054268].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.052644 0.58577 -0.014693 0.6051 0.46824 0.39671 0.029011 -0.079715 0.30077 0.067754 0.057686 0.21855 0.50235 0.015712 -0.0042388 -0.69891 0.3583 0.063729 0.15084 -0.033006 -0.32487 -0.002441 0.07061 -0.013311 -0.19506 -0.12223 -0.00097013 -0.49548 -0.040339 0.096676 0.039759 0.44121 -0.32751 0.47422 -0.039497 -0.29912 0.078081 -0.010363 -0.36869 0.0040165 -0.19813 0.032904 -0.070573 -0.19285 -0.10473 0.085375 0.026452 0.042998 0.072049 -0.56653 -0.1253 0.12929 -0.048494 0.19354 -0.0010834 -0.025152 0.050751 0.059844 -0.66934 0.070868 -0.11706 0.18697].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0093616 0.026234 -0.0092876 -0.62086 -0.12287 -0.0034346 -0.031824 0.065559 0.1833 -0.17795 0.00026344 -0.017086 0.18086 0.015753 -0.049666 -1.0797 -0.59984 0.2153 0.021197 0.026262 0.44592 0.3357 -0.26035 0.008943 0.050873 -0.036125 -0.0033398 0.31681 -0.037708 0.083737 -0.012245 -0.091691 0.19124 -1.1245 -0.22426 0.27043 -0.058628 0.042641 0.18918 0.0020318 0.13664 -0.31233 0.059952 0.27406 0.13452 -0.028802 -0.048438 -0.092655 0.069886 0.26487 0.11554 0.02524 0.025188 -0.1985 -0.0051144 -0.11176 -0.02732 -0.23151 0.60467 -0.15942 0.17528 -0.15744].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.070586 -0.094991 -0.051868 -0.23211 0.12533 -0.051532 0.051645 -0.032495 -0.45689 0.16313 0.004575 -0.35166 -0.038737 0.024616 -0.10366 0.028042 0.47831 -0.33455 -0.062576 0.06576 -0.14863 -0.97308 0.17403 -0.019959 -0.041741 0.18051 -0.00628 0.22674 0.10409 -0.23389 -0.356 -0.13218 -0.19928 -0.060281 0.21727 0.014197 0.053972 -0.093591 0.1863 -0.078475 -0.075507 0.307 0.029919 0.0080897 -0.58029 0.05436 -0.17231 0.034271 -0.14737 -0.24705 -0.21203 -0.0087338 0.019361 -0.17884 -0.0014186 0.17301 0.022034 0.16884 -0.0066955 0.11038 -0.015546 -0.00049596].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.068801 0.079809 0.070628 0.22695 -0.11217 -0.02963 -0.057375 0.0020896 0.45664 -0.10082 -0.014887 0.084724 -0.023894 -0.034762 -0.0084588 -0.21401 -0.3332 0.16593 0.056424 -0.024012 0.27091 -0.56557 0.052565 0.019768 0.12511 -0.10197 0.0096423 0.028454 -0.018048 0.23575 0.37904 0.19795 -0.2149 0.26018 -0.048813 0.01029 0.0060131 0.010946 0.098634 -0.0091147 -0.013865 0.028614 -0.0095027 -0.11552 0.0075317 -0.0031029 0.21513 0.053613 0.11459 0.23384 0.27077 -0.003784 0.0049244 0.16226 0.011126 -0.11448 0.0032135 -0.13582 -0.066765 0.078806 0.18816 -0.19711].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.21132 -0.017995 -0.10599 -0.028707 0.087765 0.070032 0.082965 0.044909 -0.25585 0.069477 -0.0008303 -0.23472 0.034148 0.0073793 0.1653 -0.046582 0.073124 0.34376 -0.0030195 -0.12128 -0.40651 -0.14251 -0.17977 -0.0016176 0.065899 0.054156 -0.034091 -0.0087188 -0.084658 -0.0095348 0.025969 0.16263 0.42949 -0.52853 0.055769 -0.081546 -0.016026 0.046945 -0.10878 0.076696 0.0099544 -0.027239 -0.0059427 0.11116 -0.062183 0.012238 0.075927 -0.0094692 0.055163 -0.013248 0.097373 0.0040618 -0.058567 0.074435 0.0004185 0.023427 -0.047804 0.19354 0.022414 -0.059301 -0.10807 0.36837].
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 [-0.129943 0.0696649 -0.0987661 0.0081046 -0.752437 -0.0668236 -0.606173 0.102382 -0.0472228 -0.53433 -0.0276604 0.203219 0.11381 0.222373 -0.0085423 -0.134858 -0.118452 -0.146289 -0.544719 -0.269656 -0.407602 0.00433522 -0.131955 -0.272314 -0.070026 0.136913 -0.0173515 1.52313 -0.0495608 -0.185296 -0.231682 0.0988573 0.0525724 -0.0622302 -0.248886 -0.13392 0.394052 0.00954745 -0.0615362 -0.144713 0.116736 -0.393748 -0.0843239 -0.226255 -0.191001 0.166912 0.0908177 -0.0603846 0.0105561 0.243984 0.0562049 -0.00182669 1.25739 -0.060906 0.00237505 -0.00134348 -0.341149 64.0843 -0.100288 -0.144414 -0.135879 -0.555644].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.2144 0.205345 0.0143889 -0.30146 0.0417255 0.0249758 0.619026 0.159567 0.121603 0.0521851 0.220176 -0.143538 0.367159 -0.0741792 -0.0566992 0.0959919 -0.142583 -0.321747 0.0663853 0.0980964 0.0702108 -0.407738 -0.00646047 -0.0109443 0.0295891 -0.218008 0.379188 0.19156 -0.00450163 0.560711 -0.0912653 0.631401 0.00837944 -0.0455622 0.0738093 -0.0464441 0.354439 -0.300325 0.0866948 0.195918 -0.385804 -0.555226 0.0935524 -0.0720209 0.0799745 -0.0381048 0.0821654 -0.0516332 -0.0735955 -0.162879 0.0541715 0.0240052 0.0348443 -0.014615 0.0290467 -0.253975 0.0195142 97.1572 0.317679 0.386738 0.0696487 0.363378].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.042192 -0.037539 0.020947 -0.40193 -0.8375 -0.19998 -0.0087441 0.054398 -0.074891 0.052294 0.35732 -0.064436 -0.049013 0.0071583 -0.016092 0.082194 0.042434 -0.00018501 0.09497 -0.65456 0.53707 0.10142 0.055508 -0.7007 -0.00062393 0.35255 -0.028194 0.0050597 -0.016206 0.24519 0.12326 -0.043606 -0.0091051 0.042181 -0.03389 0.026874 -0.10217 0.11109 0.079157 0.1938 0.011875 -0.01515 -0.14591 0.12859 -0.064817 -0.0027267 -0.043307 0.064898 -0.025316 0.046541 0.25517 0.0021868 0.26305 0.061943 -0.014236 -0.13012 -0.13554 0.37138 0.31227 0.0029654 0.25803 0.082815].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.079738 -0.1429 0.10529 -0.35172 0.43047 -0.090994 -0.0061507 0.19261 0.079679 -0.10148 -0.074469 0.4361 0.017973 0.20503 0.17012 -0.0086964 -0.80197 -0.11675 -0.052905 0.087603 0.076135 0.15655 -0.13317 -0.97105 0.23746 -0.036657 -0.00094396 0.87495 0.0041715 0.45298 -0.034321 -0.011362 0.11057 -0.010185 0.29312 -0.033459 0.021142 0.29677 0.14932 0.19574 0.22137 0.11383 -0.99427 0.044191 -0.036288 0.025459 0.097159 0.23921 -0.020527 0.02929 -0.096203 0.031693 0.20405 -0.17575 -0.013284 -0.073508 0.088115 0.82337 0.3512 -0.09763 -0.17486 0.89858].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.17317 -0.12671 -0.30732 0.38186 -0.83429 -0.026616 -0.051317 -0.27908 0.009025 0.022224 0.0039888 -0.12596 0.14798 -0.051166 -0.20446 0.0080253 0.1383 0.18989 -0.11269 -0.081016 -0.023506 -0.55482 0.11169 0.18472 -0.038686 0.024719 -0.0096627 -0.2636 -0.016485 -0.018877 0.089671 0.049016 0.00023929 -0.018959 -0.14579 0.039906 -0.07079 -0.071781 -0.32087 -0.74697 -0.024715 0.066983 0.0022355 -0.12761 0.15873 -0.38504 0.059463 -0.58035 2.663e-05 -0.014949 0.27851 0.16454 -0.16529 0.10027 0.019115 0.0051756 0.048398 -0.24924 0.1602 -0.025137 0.24932 -0.2853].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.18133 0.31029 0.29531 0.17684 -0.21793 0.04546 -0.1168 -0.58246 -0.15338 0.085961 0.36364 -0.15782 -0.031448 0.014489 0.13568 -0.048274 -0.41083 -0.096597 0.046224 -0.076505 0.027534 -0.17828 -0.036906 0.065958 -0.24566 0.019028 0.007172 -0.20949 -0.004605 0.085339 -0.009734 -0.0028819 0.0038948 0.022734 -0.20853 -0.37174 -0.11083 0.2092 0.31645 0.091955 -0.021849 -0.45483 -0.32967 0.12366 -0.010028 0.64514 -0.16456 -0.10847 -0.086167 0.017006 -0.34791 -0.42832 0.1798 -0.054488 0.0044715 0.10912 -0.36211 1.6413 -0.0041935 0.15584 0.16576 0.19065].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.077491 -0.7413 0.047781 -0.0012247 0.21015 -0.11293 0.16014 -0.017991 -0.022328 -0.0036573 -0.091501 -0.77609 -0.054807 0.075784 0.23067 0.044039 0.39554 0.10446 0.027144 0.017067 -0.12238 0.073263 0.062746 -0.16775 0.25315 -0.050891 0.0021033 0.012908 -0.0065717 -0.069079 0.013181 0.025803 0.049085 -0.040249 -0.06053 0.38301 0.036153 -1.1134 0.028998 0.0049205 -0.034952 0.17862 -0.16587 -0.069038 -0.29245 0.12852 -0.089992 0.42373 0.082154 -0.26014 -0.099486 0.41046 -0.13327 -0.082705 -0.00064972 -0.28307 0.37962 1.5461 -0.425 -0.54826 -0.016085 -0.74387].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.2363 0.0077124 -0.11888 -0.17468 -0.028191 -0.58977 -0.11114 0.20824 -0.08572 -0.0082893 -0.18815 0.034072 0.075049 0.011713 -0.3593 0.018849 0.16294 -0.11376 0.044882 0.03796 -0.15892 0.072928 -0.02375 -0.24117 0.080778 -0.060658 -0.00034091 0.16433 0.0017999 0.06042 -0.0093713 -0.23081 -0.12022 0.018444 0.27375 -0.048035 0.14796 -0.076208 -0.10836 -0.090701 0.0047021 0.28039 0.13525 -0.07615 0.25991 -0.010172 0.14514 -0.45592 0.0025828 0.046974 -0.15648 0.11253 -0.15724 0.31142 0.013092 0.27622 -0.081747 3.6139 0.31168 0.070563 -0.15724 0.096426].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.26418 -0.00073061 0.043476 -0.25405 -0.030763 0.022878 0.067388 0.076988 0.24912 0.0061603 -0.28834 -0.070133 -0.0022592 -0.013803 -0.31553 -0.095818 -0.17381 -0.050601 -0.010861 0.10399 0.11989 0.023366 -0.12052 0.41033 -0.2886 -0.090153 -0.00028399 -0.58937 0.020631 -0.060886 0.0093729 0.14396 0.010113 0.018003 0.11372 -0.034043 -0.00288 0.017667 -0.16615 0.030994 -0.030504 -0.0066464 -0.31062 0.16021 -0.15822 0.022768 -0.34355 0.43883 -0.016954 0.19336 0.039656 -0.087976 -0.24927 -0.096561 -0.043423 -0.20254 0.10489 0.95698 0.092994 -0.021645 0.099759 -0.050846].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.053196 -0.0019335 -0.062642 -0.24236 0.071935 0.078243 0.043243 0.0038238 0.038241 0.0040941 0.10483 0.0045095 -0.23351 -0.054128 0.36513 0.096341 -0.08494 0.00081622 -0.020061 0.0034614 0.16051 -0.20257 -0.24631 -0.093675 0.010446 0.12065 0.00042272 0.81539 0.0045766 0.075744 -0.018395 0.028857 0.08432 0.00097396 -0.22272 -0.081385 0.0019954 0.044962 0.14748 0.025756 -0.062145 0.030981 0.30755 -0.0011513 0.20955 -0.010904 0.38013 -0.41144 -0.014649 -0.058272 0.38476 -0.1944 0.3213 -0.30529 0.020709 0.14886 0.01016 1.3058 -0.80817 0.036659 0.051759 0.10558].
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 [-0.177232 -0.211495 0.0816319 -0.0169233 0.023753 -0.635168 -0.160812 -0.198725 0.162686 0.0645421 0.450264 -0.120034 -0.220915 -0.014983 0.0715665 -0.162222 -0.311919 -0.349531 -0.89223 -0.0135149 0.531029 -0.427665 -0.929415 0.269748 0.131976 -0.229497 0.131766 -0.0229007 0.126161 -0.0519357 -0.158707 -0.0354271 0.146708 -0.0471143 -0.367001 -0.00789791 0.0878661 0.135252 -0.203012 0.108087 -0.00935244 0.176408 -0.414094 0.147294 0.117361 0.0157376 0.0487425 0.125969 -0.0584519 0.0205388 -0.155668 0.263971 0.186359 0.08159 0.00228238 -0.183656 -0.427284 77.4498 -0.52477 -0.136334 -0.256195 -0.618217].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0350481 0.893468 0.771187 0.00596005 0.246711 0.0284075 -0.0693353 -0.121226 0.0922517 -0.0115343 0.0591192 -0.336088 -0.119128 -0.13873 -0.00223395 -0.293933 0.581762 -0.413361 -0.0362583 -0.211719 -0.0918999 -0.130372 -0.0279797 0.229041 0.034561 -0.0294392 -0.0137898 0.042569 0.00754652 0.124721 -0.0785545 0.0399792 0.0729039 0.0980376 -0.0373792 -0.0187137 0.0670596 -0.325354 0.0391275 -0.0852682 -0.0214731 0.232378 -0.165543 -0.103595 -0.757225 -0.0115658 -0.112417 -0.110641 -0.225869 0.0721874 0.109401 -0.12509 0.433237 -0.0516229 0.0021514 0.00245122 0.276626 57.9382 0.0922871 0.00542976 -0.292857 1.65016].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.037489 0.53856 -0.056053 -0.0049752 0.00050366 -0.17749 0.1579 -0.001476 -0.16953 -0.076029 0.049298 -0.029134 0.023479 0.21631 0.038068 -0.15901 0.33991 0.023826 0.046034 -0.0055907 -0.073127 0.023689 -0.20077 0.30365 0.057569 0.29501 0.040684 -0.045341 0.0057914 0.009666 -0.16196 -0.23982 -0.14128 0.047201 -0.028495 0.016601 0.040056 -0.13154 -0.15501 -0.02868 -0.067188 -0.26573 1.1126 0.030038 -0.082326 -0.054989 -0.2165 -0.068283 0.012706 0.0042993 -0.063587 0.057737 0.17206 -0.0015771 -0.005147 -0.00429 0.089052 1.7128 -0.01847 -0.051664 0.45267 0.58001].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.011307 -0.039445 6.4282e-05 -0.27464 0.39532 0.19847 -0.019971 -0.053331 0.090424 0.11606 -0.045035 0.12245 0.11507 0.017924 0.97999 -0.0050219 -0.10832 -0.3057 -0.058952 -0.11301 -0.11543 -0.13658 -0.17695 -0.037184 -0.39022 -0.050469 0.022273 0.28501 0.00072754 0.075195 0.083832 0.043742 -0.0077032 -0.15451 -0.079138 -0.28355 0.3108 -0.3385 0.038591 -0.053707 -0.14144 -0.0034644 0.013649 -0.036548 0.015284 0.061743 -0.0016265 0.077589 0.26588 -0.017288 0.0061187 -0.098028 -0.040989 0.052573 0.020313 0.024926 0.094115 0.082068 0.70989 -0.01223 0.092374 -0.001199].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.020405 0.33203 -0.0017964 -0.032171 -0.048613 -0.12141 -0.016313 0.026625 -0.08193 -0.035313 -0.033541 0.076878 0.036967 0.048868 -0.5752 -0.039738 -0.018407 0.076735 -0.14693 0.026605 0.04417 0.11391 -0.12088 0.0076058 0.35978 -0.0045629 -0.021296 0.54432 0.013421 -0.039166 0.019708 0.045864 0.5668 0.097884 0.12 0.19291 -0.040172 -0.09565 -0.0049085 0.068362 0.075551 -0.045085 -0.21233 -0.0030931 0.024869 -0.026619 -0.0586 0.009915 -1.0227 0.019433 -0.014918 0.39455 0.059991 -0.034217 -0.028984 -0.032581 -0.37146 -0.04551 -0.1418 -0.098157 -0.023317 0.0083105].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0062622 -0.052881 -0.035136 -0.076629 -0.15974 -0.0044228 0.2035 -0.15975 -0.054782 0.047148 0.042489 -0.14887 0.0055843 -0.0057637 -0.08503 0.0023467 1.1317 0.25742 0.2049 0.082338 0.30233 0.011165 0.1791 -0.080181 0.029728 -0.11851 0.0040735 0.041796 -0.0095578 0.00051507 0.17136 0.010103 -0.0040728 -0.017539 0.010931 0.12571 -0.9708 0.24513 -0.010159 0.054915 0.012539 -0.37923 0.047681 0.11033 -0.0096702 0.22948 0.07107 -0.079004 0.31286 -0.22435 -0.28074 -0.70531 0.0012319 0.033105 0.019226 0.028093 0.42362 -0.014186 0.2442 0.5714 0.011358 -0.16511].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.15878 0.16036 0.027716 0.46895 -0.42259 0.078261 -0.19261 0.18934 0.17205 -0.061942 -0.018332 0.16655 -0.10175 -0.073506 -0.043076 -0.055229 0.067011 -0.035831 -0.15488 -0.033327 -0.75909 0.0083137 0.10109 0.075262 -0.039308 0.13151 0.0014862 0.22313 0.0016195 -0.0066622 0.21641 -0.074435 -0.04765 0.02307 -0.21928 -0.044687 0.017461 0.27086 0.006001 -0.011853 -0.086125 0.31182 0.084034 -0.086774 -0.098554 -0.57059 -0.0039189 0.03833 -0.0089451 0.035034 0.2729 -0.016656 -0.025743 -0.25122 -0.014378 -0.015874 -0.49021 -0.073361 -0.45654 -0.0073963 -0.35491 0.092572].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.18437 -0.0079623 0.039671 -0.65958 0.61474 -0.033615 0.1279 0.011287 -0.0050253 0.062661 -0.0018562 -0.04533 0.03259 -0.0013297 0.093738 0.16873 -0.026335 -0.29042 0.023046 0.01411 0.24712 0.0011629 -0.007019 -0.098051 -0.058132 -0.012603 -0.072177 0.041409 0.0051657 -0.095714 -0.023062 -0.066224 -0.079028 0.0038574 0.29746 0.013165 -0.25695 0.25753 -0.022191 -0.13235 0.14159 0.064686 0.049525 0.081904 0.051106 -0.056093 -0.025307 -0.013311 0.0083328 0.18924 -0.23181 -0.025274 -0.084178 0.25504 0.0097018 0.0019991 0.3194 0.078523 0.45268 0.093516 0.017287 0.055743].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.66362 0.016503 -0.12068 -0.068203 0.23352 0.015049 0.049242 -0.062591 -0.14654 -0.0068597 -0.057521 -0.63095 0.067064 0.065517 -0.043177 -0.053642 -0.052377 -0.18874 -0.070218 0.02308 -0.0050814 -0.14544 -0.16334 0.1051 -0.04098 -0.0023023 0.08952 -1.464 -0.0045604 0.11029 -0.16917 -0.0088696 0.11568 -0.013813 -0.38316 -0.19196 -0.092205 -0.67408 -0.0043256 0.13715 -0.085003 -0.47017 -0.20468 -0.010256 0.048572 0.080243 0.033032 0.008359 0.0051379 -0.0049967 0.19661 -0.0045748 0.10364 -0.022911 0.00098634 0.018301 -0.0026156 -0.050069 -0.026339 0.031173 0.35464 -0.0091342].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.039134 -0.37149 0.11147 0.094247 0.2325 0.0337 -0.057254 -0.17347 -0.028003 -0.10678 0.014419 0.052766 -0.0079481 0.011666 0.063384 0.027861 0.083706 0.25047 0.19523 -0.029071 0.012063 0.038346 0.10784 -0.016275 0.099494 0.0093775 0.0038054 0.40036 0.0022089 -0.34355 -0.069544 0.030581 -0.0069734 0.014946 0.33162 0.15953 -0.43799 0.085412 0.03117 -0.0046044 0.071262 0.084654 0.090079 -0.17362 0.010416 -0.28807 -0.059854 -0.33573 -0.032196 0.0051783 0.029987 0.024463 -0.0086355 -0.074182 0.006177 -0.076397 0.1742 -0.28668 -0.63818 -0.048007 0.020489 -0.073333].
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 [0.521667 -0.0653539 -0.37472 -0.248769 0.0198931 -0.194037 0.0669464 -0.0788904 0.167566 -0.860649 0.00541037 -0.121442 -0.244819 0.0377291 0.0450155 0.122791 0.237639 -0.0308672 -0.000328719 0.599256 -0.884156 -0.02112 -0.394718 0.072465 0.340662 0.0871507 0.00252542 -0.136492 -0.00112151 -0.0287941 0.0309821 0.0249129 -0.219547 0.606698 -0.423198 0.141021 0.0807913 0.465922 0.488988 0.0758048 -0.0205277 0.460014 0.530437 -0.00575151 0.0603128 0.00526295 -0.120877 0.443694 -0.0784923 -0.192904 -0.026305 -0.187089 -0.146235 0.0175759 0.00317814 0.0494472 0.203454 30.8656 -0.0152351 -0.159474 0.161666 -0.0788131].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0900773 -0.00188481 -0.131861 0.198608 0.773553 -0.348768 0.029936 0.221852 -0.0534288 0.127319 -0.132048 -0.125921 -0.225529 0.0114166 -0.0196941 -0.974077 -0.378533 -0.201187 0.1355 -0.0739851 -0.254412 -0.0540933 -0.358551 0.178657 -0.286408 0.05928 -0.0490762 -0.857672 0.0095755 0.0105473 -0.0131079 0.0605358 -0.133271 0.123608 -0.0428329 0.296527 -0.0800531 -0.0580849 -1.15275 0.0913079 -0.0885088 1.36545 0.135949 -0.10477 -0.490724 -0.221511 -0.141017 -0.0455602 -0.0682045 0.547196 -0.519867 -0.00280123 -0.0436566 0.0280599 0.00476504 0.15509 -0.0392851 29.3883 0.046058 0.0132473 0.739818 0.194782].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.58282 1.0407 -0.01202 -0.0092553 0.35176 0.17034 -0.007223 0.61616 0.019954 -0.17583 0.043762 -0.059555 0.032008 -0.16627 0.031569 -0.033021 0.12024 0.47531 0.20731 -0.85524 -0.038963 -0.044819 -0.011469 -0.10542 -0.2048 -0.068989 -0.020857 0.17789 -0.00014245 -0.092652 -0.38555 0.14315 -0.031543 -0.024338 0.04255 0.050978 0.36337 -0.26266 -0.080949 -0.0073435 -0.1626 0.30097 0.025984 -0.075185 0.18402 0.35342 0.21482 0.037184 0.10142 0.22907 0.85895 -0.70408 0.2852 -0.20798 0.0051081 0.00040408 0.0064517 4.0294 -0.26329 -0.0035465 -0.40412 -0.023921].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.33636 -0.078518 0.16677 -0.13344 0.19303 -1.3527 0.051078 -0.088566 0.010889 0.029658 -0.36755 0.26266 -0.015043 0.075321 -0.0036561 -0.13838 -0.47666 0.022293 -0.1741 0.30994 -0.31303 -0.065663 -0.2119 -0.19301 -0.21032 0.67168 0.048026 -0.24266 -0.0052974 -0.032351 -0.10371 -0.064364 -0.073489 -0.00014223 -0.19236 0.24427 0.066899 0.085171 -0.055914 0.13766 0.16179 0.46131 0.34389 0.05055 -0.11085 -0.23146 -0.18488 0.065875 0.03553 0.12452 -0.30985 -0.037649 0.1577 -0.056604 -0.007778 0.18659 -0.11731 0.23404 0.043462 -0.022877 -0.24455 0.2819].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-2.2744 0.051676 0.074186 0.10427 -0.036086 0.31882 0.0064184 -0.16654 -0.3752 -0.040133 0.44647 -0.10825 -0.097794 -0.0026322 -0.0042742 0.078857 0.62117 0.087157 0.31858 0.0024748 -0.026648 0.09025 0.50786 0.41288 0.20803 0.060059 -0.0069555 0.32688 -0.0030192 0.060593 0.025718 0.060831 0.10088 0.10688 0.029223 0.16971 -0.13804 -0.099486 0.035928 0.21112 -0.12573 -0.40492 -1.8516 -0.19394 0.055829 0.28943 0.22786 0.30556 -0.00032515 -0.016352 0.15206 0.034818 -0.051826 0.068779 -0.01157 0.007959 -0.08105 -0.12141 0.074131 0.016626 0.31376 -0.011125].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.056393 -0.14918 -0.23824 -0.34289 -0.61604 -0.2108 0.00054925 0.26694 0.22339 0.029147 0.15868 -0.056927 0.041279 -0.060376 -0.27686 0.064412 0.11248 -0.035655 -0.095792 0.14131 0.32673 -0.26009 0.030721 -0.30006 0.050691 -0.022494 -0.0082134 -0.062637 0.0092697 0.016714 -0.12355 0.37834 -0.057481 -0.055489 -0.0031289 -0.64238 -0.03271 0.12397 -0.064803 -0.31572 -0.059819 0.032475 0.095018 -0.1162 0.2827 -0.19083 -0.27729 -0.96296 -0.0058981 -1.2648 0.17843 -0.013911 0.077491 0.031136 0.014516 0.045398 0.10995 0.1307 0.23284 -0.0033135 0.03361 -0.0032194].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.23648 -0.46987 0.0024825 0.31914 1.6391 -0.51622 7.2757e-05 -0.027717 0.017942 -0.18846 -0.38198 0.071859 0.14601 0.038064 0.19329 0.018988 -0.23805 0.031843 0.11426 0.12623 -0.16239 0.11134 0.10627 -0.036165 -0.13412 0.18545 0.015705 -0.0039857 0.00011969 -0.076184 0.22444 -0.45614 0.12144 -0.084095 -0.056401 0.12309 0.28462 -0.057786 0.1072 -0.2092 -0.43926 -0.32952 -0.0089366 0.21872 -0.047404 0.067999 0.15632 0.043913 -0.068159 0.0075292 0.43577 0.0095487 -0.19593 -0.52274 -0.016799 -0.0399 -0.52062 0.0066501 0.056526 0.025546 -0.049473 -0.026179].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.16149 0.55018 0.17954 -0.36777 0.59731 -0.58015 -0.10316 0.02299 0.11737 0.19052 -0.086364 -0.037471 0.20648 0.020928 -0.3652 -0.019351 0.45528 -0.10413 -0.19579 -0.024382 -1.0173 0.11812 -0.31141 -0.31596 -0.42294 -0.2641 -0.053497 0.038379 -8.7525e-05 -0.0051564 -0.5787 0.13533 -0.31404 0.059444 0.010599 -0.10991 -0.012999 0.030657 0.0014391 0.068083 0.54051 -0.18779 0.0052156 0.029224 -0.41449 0.03977 -0.085381 -0.0019231 0.010416 -0.030409 -0.82375 0.0014141 0.062603 -0.12101 0.018116 -0.22619 0.016774 -0.10649 0.055716 -0.031634 0.072198 -0.34452].
# Iteration 9:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.09 0.068872 -0.035219 0.13821 0.30824 0.060034 0.043693 -0.00025248 -0.036135 -0.093674 0.37115 -0.75376 0.0043407 -0.036156 0.28603 -0.02995 -0.94156 -0.11841 -0.27336 0.048295 0.78966 0.023872 0.025509 0.45288 0.48967 0.10993 0.011019 -0.077157 -0.0061246 0.082447 0.029289 0.092064 0.33239 0.069224 0.0045833 0.14292 -0.061085 -0.15159 -0.0034334 0.53232 -0.25175 0.582 0.00032727 -0.44957 0.52489 0.04935 0.22203 -0.15921 -0.1681 0.0063037 0.10015 -0.11314 0.15434 -0.057114 -0.00017762 -0.019513 0.027786 0.12725 -0.51731 0.01849 0.00059889 0.38755].
# Iteration 10:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.20099 0.62493 0.088181 0.29391 -1.422 -0.061587 0.011537 -0.055311 0.043129 0.10687 0.21811 -0.94648 -0.32668 -0.076653 0.15398 -0.028628 -0.064699 0.16179 0.24009 -0.077555 -1.2818 0.020612 -1.184 -0.33167 -0.098882 0.15862 0.016779 0.062066 0.0036438 -0.23292 -0.054638 -0.023051 -0.10373 -0.053032 0.036404 -0.019522 0.073922 0.11394 -0.0017224 0.04186 -0.034765 -0.19831 -0.070396 0.51812 0.045024 -0.24712 -0.04569 0.044867 0.23755 0.031716 0.26827 0.11099 -0.27775 -0.16091 1.1814e-05 0.40048 -0.010113 -0.0029078 0.10716 0.063469 -0.0076359 -0.16813].
# 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/R16_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 58970 s