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R33.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 ...
{Error using parpool
You requested a minimum of 36 workers, but the cluster "local" has the
NumWorkers property set to allow a maximum of 10 workers. To run a
communicating job on more workers than this (up to a maximum of 512 for the
Local cluster), increase the value of the NumWorkers property for the cluster.
The default value of NumWorkers for a Local cluster is the number of physical
cores on the local machine.
Error in main (line 1)
poolobj = parpool('local', 36);
Error in run (line 91)
evalin('caller', strcat(script, ';'));
}
Time elapsed = 16 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: 10).
Number of workers: 10
-------------------------------------------------------------------------------------------
## 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:
U1308
{Error using Proposal_PS
Unable to perform assignment because the size of the left side is 1-by-500 and
the size of the right side is 0-by-500.
Error in Particle_Smoothing (line 43)
[A{n},W{n}] = Proposal_PS(W{n+1},A{n+1},depth_diff(n),d18O(n,:),C14{n},Age_Info(n,:),data_full,param,target,mode,QQ(n,:),data.ACC_MODEL,data.ACC_CONTRACTION,data.ACC_STEADY,data.ACC_EXPANSION);
Error in getAlignment (line 25)
parfor ll = 1:L
Error in Stacking (line 20)
[data,samples,param] = getAlignment(data,data_part,QQ,param,target,setting,'stacking');
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 = 516 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: 10).
Number of workers: 10
-------------------------------------------------------------------------------------------
## 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 [85.97765 16.75782 53.90148 69.85994 42.06518 18.04909 14.63221 61.58656 5.472586 61.00489 31.62549 66.05632 25.21178 121.1543 23.96888 146.853 15.65355 62.63133 94.81466 3.35768 169.0604 75.05064 3.195109 191.1589 60.51636 70.26898 10.33099 105.7212 56.39361 7.556388 8.451624 9.667677 3.67502 5.046665 0.5365758 13.5491 3.601432 12.98389 131.1294 157.098 29.32486 73.15352 47.29091 5.555325 5.649694 20.44051 88.88537 18.63266 5.970006 104.0762 77.09852].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.258216 0.1559 2.635 2.90994 0.265395 0.16865 0.00458 0.600716 0.299266 3.0983 0.3865 0.657592 0.729066 11.9202 0.0173456 7.64435 0.779025 0.719455 4.78646 0.376057 15.6458 1.68987 -0.0715796 28.0723 2.05581 16.3466 -0.121206 0.366795 3.80103 0.317016 0.103498 0.0507822 0.065702 0.13995 0.0884742 -0.260847 -0.193961 0.0346716 9.65495 3.981 0.910685 2.62764 4.80392 0.0487586 0.216195 -0.0950978 4.04728 0.439008 -0.0327149 5.52683 9.27879].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.007365 -0.26257 0.44504 0.64987 -0.27803 0.031737 0.14314 0.14407 -0.26036 0.10724 -0.019714 -0.23815 0.25779 0.88562 0.8244 1.4375 0.098191 -0.070009 -0.014468 0.055466 2.3469 0.196 -0.092153 0.40774 0.16146 3.6642 0.19768 -0.051396 0.22729 -0.0014916 -0.0077599 -0.067559 0.083642 0.17399 -0.021234 -0.1847 0.053477 -0.075424 0.72881 0.045762 0.0099746 -0.026635 0.035946 -0.14414 -0.011636 0.015129 0.26896 -0.45549 -0.17732 0.25562 0.24873].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.061231 -0.12933 -0.0049009 0.9403 -0.0051796 -0.006906 0.098353 -0.021838 0.14447 0.01771 -0.10468 0.0082517 0.16035 -0.48303 -0.15345 0.32002 0.53757 0.13244 0.27914 -0.016511 0.62961 0.30341 -0.0079712 -0.0059912 -0.027919 -0.016021 0.0022413 0.19366 -0.6397 -0.068827 0.047802 -0.040016 0.023098 0.10978 0.0025582 -0.053312 0.032741 -0.019396 0.14022 0.032178 0.11917 -0.010461 -0.16588 0.0093782 0.011388 0.21996 0.018138 0.066168 0.021351 0.47588 -0.02169].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.002032 0.11214 -0.10263 0.47408 -0.015336 -0.0089066 -0.048257 0.050555 -0.05721 -0.064045 0.085185 0.0066879 -0.22443 0.26705 0.13564 0.0030418 -0.010602 0.02674 -0.0016218 0.0052597 -0.084824 -0.3675 -0.055819 -0.046987 0.03019 -0.040681 -0.34687 -0.093072 0.49808 0.30864 -0.037066 -0.097074 -0.15126 -0.17498 -0.019513 0.037099 0.075118 0.22119 0.10468 0.09922 -0.031382 -0.0083309 0.063005 -0.064434 -0.00015101 0.19105 -0.099612 -0.59316 -0.058541 0.47114 -0.34182].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.038442 -0.032878 -0.078587 0.0085627 0.042322 -0.014475 -0.044609 0.0061842 0.09708 0.013749 0.094931 -0.021807 0.37948 -0.68368 0.019421 -0.028877 -0.33632 -0.13985 -0.018334 0.050116 0.13204 0.35473 0.024646 -0.0086924 -0.05936 -0.28357 0.37438 0.017676 0.0057478 -0.34303 -0.20739 0.23991 -0.019248 0.14185 0.025275 -0.0022928 -0.30327 -0.086394 0.028014 0.027354 -0.10949 0.014021 -0.1781 -0.12091 -0.0062597 -0.63774 0.12477 -0.87712 -0.10767 0.11103 0.66157].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.017619 0.031915 -0.25348 0.12408 0.019102 0.027123 0.088278 -0.14183 -0.047019 -0.048096 -0.024248 0.026828 -0.17835 -0.10312 -0.029183 -0.0045377 0.32022 0.11151 0.039873 -0.0019803 -0.071725 0.010286 -0.11689 -0.25181 0.0043505 0.39513 -0.20349 0.086358 -0.25085 -0.029089 0.43534 0.0040129 0.18099 -0.11664 0.0018388 0.016269 0.1504 -0.038783 -0.032299 0.003099 -0.030105 -0.0076399 0.27918 0.21052 -0.0698 0.13131 -0.35957 -0.01126 0.10926 0.026597 0.19314].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
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 [80.81104 21.31264 48.04508 65.57736 35.28641 18.70454 13.58266 67.26031 4.903609 68.87812 29.60484 62.34984 25.23597 117.6877 19.38522 174.249 17.7763 48.93789 84.28596 2.958558 163.4202 80.52479 0.7408377 179.655 61.00368 63.35328 10.70673 110.4052 58.07166 9.99597 9.703565 7.913652 3.494645 4.733275 1.447682 13.7129 2.64434 10.54372 132.9075 154.0439 28.48501 65.73746 54.24482 4.934075 4.013469 18.39218 98.3388 21.98095 5.253998 92.7304 59.49061].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.40217 1.23747 4.05712 3.87439 0.263746 0.0631321 -0.113623 -0.354596 0.254472 1.9851 -0.0776837 1.54404 0.457645 9.93706 1.20722 5.68453 1.48269 1.77255 2.09334 2.19948 14.7974 0.479485 0.0986423 22.4952 2.76775 21.5231 0.00232928 3.40228 1.75993 0.0460844 -0.116813 0.0239806 -0.00757269 -0.171491 0.00812678 0.267246 -0.0413622 -0.0589861 12.5516 2.8761 5.55967 3.64198 5.00151 0.167558 0.128443 0.579518 5.3278 -0.16907 -0.155643 7.09874 6.82582].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.10966 0.07171 0.31753 0.73178 0.0193 0.013724 -0.44996 0.25722 0.1205 -0.091291 0.011123 0.14392 -0.053714 1.5712 -0.14402 1.3809 -0.21698 -0.66475 0.56081 -0.37616 4.3592 0.56335 -0.14333 3.9384 0.10636 0.99083 0.11856 -0.075254 0.019566 0.048784 -0.047957 -0.06884 0.0077669 -0.094652 0.036054 0.045786 -0.19213 0.0035765 2.0185 -0.10293 0.50239 0.33092 0.18811 -0.039468 -0.077062 0.00018633 -0.17507 0.36826 -0.091222 2.3777 1.4816].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.055195 0.027964 0.19822 0.012865 -0.77679 0.0090244 0.062056 0.086659 0.056329 0.12686 -0.025742 0.0044018 0.028706 0.094834 -0.031838 0.37357 0.039036 0.025467 0.047924 -0.0042051 0.72341 -0.1445 -0.047111 0.011241 0.3311 1.2074 0.024523 0.15992 -0.22386 -0.014337 0.037806 -0.13063 0.0035527 0.0011967 0.15847 -0.026118 -0.33726 -0.03613 -0.054222 -0.11471 -0.060724 -0.58122 -0.015618 -0.054231 0.15843 -0.016682 -0.065118 0.29031 0.15384 0.011197 0.5639].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.046023 -0.011495 0.13416 0.38005 0.031636 0.0093285 -0.028358 -0.13331 0.3249 -0.23114 -0.057482 -0.0036219 0.0069204 0.18368 0.049899 -0.0047608 -0.12351 0.012572 0.22654 -0.084862 -0.18568 0.0089097 0.043325 -0.26653 0.042615 0.20178 0.059764 -0.0015761 0.20414 -0.0013199 -0.25169 -0.029345 0.19036 -0.0031032 -0.048323 -0.053277 0.29783 0.00087203 0.062943 -0.43017 -0.48339 0.20047 -1.185 0.077006 -0.2342 -0.054805 0.31394 -0.062769 -0.090353 -0.52049 0.066735].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.092677 -0.075401 0.011422 -0.5882 -0.0064591 -0.048928 0.0026429 -0.018062 -0.17469 0.23194 0.010362 -0.013664 -0.0051782 -0.067476 -0.046511 -0.13917 0.035421 -0.2106 0.16081 0.079541 0.59021 0.06681 -0.024803 0.20133 -0.077294 0.15636 0.12013 -0.1379 -0.0026531 0.018022 0.20429 0.15008 -0.068802 0.0026628 -0.089421 0.073172 0.39297 -0.18049 -0.086386 0.48987 0.44365 -0.038407 -0.14137 -0.13264 0.21343 0.00095766 -0.99317 0.079713 0.14982 0.025472 -0.0041169].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11377 0.03218 -0.013519 0.10943 -0.032931 0.021173 0.021559 0.18024 -0.091036 -0.012882 0.01232 -0.023376 -0.01859 0.011547 0.041586 0.13362 -0.16143 -0.047167 -0.026057 0.082621 -0.02789 0.015841 0.030932 -0.35709 -0.092858 -0.047758 -0.40943 0.13647 -0.032813 -0.006384 0.017479 -0.023337 0.010958 -0.0051467 -0.048711 -0.01793 -0.25645 0.19655 0.053255 -0.29931 0.014014 0.0078134 0.3385 0.061081 -0.14635 -0.069768 -0.22062 -0.0065314 -0.18449 0.062518 -0.013392].
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 [4.11239 13.93117 24.7544 54.56327 32.53588 0.3287675 10.49152 52.91576 6.939524 37.53611 5.894795 1.929836 29.78104 24.52205 61.34505 26.25596 56.94472 47.98497 58.73001 96.3616 77.05919 57.57611 5.389403 195.2525 17.50712 49.0358 1.654152 9.599429 92.59557 9.662284 5.226502 4.62522 1.473511 2.476627 14.1466 22.99584 44.25705 23.82941 4.256953 7.017552 29.13498 50.42769 55.06881 7.450559 1.900247 23.87199 384.4249 63.41579 34.68399 63.33647 76.51336].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.14038 -0.176737 1.97396 2.13763 5.78169 0.0137026 0.778713 0.94717 -0.748103 3.58995 0.111964 0.25 2.78385 1.4069 6.42172 -0.237781 6.23102 4.87754 3.33857 3.96637 3.8114 8.10347 -0.667488 6.11737 0.725073 4.33422 0.187717 0.26634 3.138 0.87931 0.725033 0.434052 0.665035 0.256082 0.105201 1.2394 1.83263 0.967086 0.589466 0.089684 2.16684 1.43007 5.80195 0.66107 0.663837 1.52979 34.4607 3.78244 0.601573 5.56532 4.70738].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.015604 0.29946 -0.0093585 1.7741 1.2862 -0.00083422 0.56208 0.55741 -0.36082 0.0098604 -0.0066416 0.05204 -0.056017 0.61692 -0.023629 -0.16214 0.15936 -0.057597 -0.20507 -0.87156 2.2829 -0.64763 -0.33579 2.324 -0.047945 -0.077976 0.11113 0.040844 0.94388 0.21519 -0.38699 0.080085 0.020146 0.31552 -0.017557 0.079931 0.049377 0.34978 -0.2511 0.16711 -0.40853 0.55041 -0.89068 -1.1062 -0.20309 -0.13657 4.1456 0.34081 -0.059544 2.2239 -1.0527].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0069925 0.040965 -0.30471 -0.30365 1.3842 -0.067321 0.26251 0.069082 0.068606 0.056014 -0.046853 -0.15495 0.1044 -0.29083 0.3776 0.032703 -0.14982 -0.82635 -0.16138 0.037003 0.065166 -0.16555 -0.021333 3.0316 -0.18563 0.7959 0.032359 0.037796 0.50371 0.0017798 -0.14408 -0.034476 0.015868 -0.0072717 0.024919 0.057099 0.054232 0.032453 0.47751 0.0055448 -0.080472 0.39266 0.011047 0.90912 0.0017737 -0.38724 -0.19327 0.20747 0.013048 -0.20894 0.2217].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.1815 0.099844 0.30506 0.47377 0.18518 0.065568 -0.42749 -0.88933 -0.18593 -0.10617 -0.17763 0.058222 -0.48833 0.32687 -0.50224 -0.14506 -0.011238 0.055562 -0.041438 -0.072038 0.003201 0.059418 0.072735 0.060522 0.15961 -0.078636 0.0020529 -0.024865 -0.28983 0.025389 0.29352 0.029418 0.036573 -0.035929 -0.016774 -0.385 -0.67497 -0.016147 -0.22577 -0.028098 -0.10288 0.015552 -0.26155 -0.17477 -0.31818 0.29712 -1.0433 -0.26745 -0.06018 0.17909 0.053106].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.14251 -0.0864 -0.46062 0.35822 -8.3539e-05 -0.021794 0.35922 0.31644 0.23053 0.097388 0.19185 -0.051058 -0.013985 -0.20463 0.11575 0.079478 0.16131 0.12261 0.11778 -0.027581 -0.073202 0.039572 -0.25728 -0.11519 -0.031853 -0.17925 -0.008378 0.011224 0.22138 0.059818 -0.15621 0.0066658 0.034036 0.052517 0.015582 0.38569 0.0045242 -0.006369 0.050032 0.027944 -0.6864 -0.29493 -0.33375 0.1319 0.1409 -0.039603 -1.0825 0.2267 0.057747 -0.022058 0.020692].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.036426 0.066591 0.50507 0.80529 -0.028305 0.0036449 0.025785 -0.2396 0.029483 0.020806 0.037374 0.094717 0.36344 0.42675 -0.00039152 0.064593 0.043645 0.35831 0.05333 0.095923 0.056448 -0.029665 0.012278 0.066164 0.049406 0.28325 -0.095076 -0.021605 0.072114 -0.043249 -0.1834 -0.033293 0.045034 -0.27569 -0.0053743 0.012632 -0.025192 0.0038958 -0.083754 0.00036126 0.21234 0.23077 0.558 0.022238 -0.26787 0.064018 1.5038 0.070291 -0.40165 0.04511 -0.04707].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.21377 0.0012945 -0.13898 0.0034778 0.0086256 -0.000188 -0.22319 0.24845 -0.030043 -0.28837 -0.067669 -0.1071 -0.085316 -0.4395 0.00060276 0.014448 -0.059592 -0.45166 -0.35048 -0.0046185 -0.0502 -0.49307 0.009802 0.054219 0.00019494 0.24684 0.035278 0.034521 -0.28294 0.03549 0.067155 0.010442 0.020418 0.24114 -0.015914 0.013778 0.024352 0.020136 -0.38578 -0.009082 0.019965 0.098858 -0.3241 -0.034701 0.33065 0.011609 -0.61585 -0.1647 0.37606 -0.0026236 -0.55149].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.18989 -0.049165 0.17604 0.54988 0.057275 0.010003 0.22014 -0.14395 0.030122 0.3028 -0.055292 0.14523 -0.16352 0.18418 -0.12472 -0.12948 0.064558 0.21809 0.38861 -0.31068 -0.02451 0.18685 -0.10283 -0.0026739 -0.036681 -0.16129 -0.19764 -0.030746 0.1689 -0.22404 -0.15591 0.017436 -0.26015 -0.18142 0.022662 -0.16542 -0.01582 -0.057069 -0.17688 -0.0039614 -0.0099121 -0.20199 0.45094 0.073576 -0.060782 -0.04615 0.072687 -0.016662 0.047901 -0.0833 0.34443].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.25622 0.029274 -0.77782 -0.079157 -0.080974 -0.026522 -0.22301 0.023532 -0.20629 -0.06486 -0.017713 0.021583 0.32128 0.037577 0.11195 -0.059344 -0.27453 -0.063404 -0.072526 0.29141 0.09096 -0.068996 0.31775 -0.012592 -0.16688 -1.1348 0.078304 0.021883 -1.029 0.024494 -0.072131 -0.055193 0.16814 0.19815 -0.024281 0.074722 -0.1983 0.044944 0.43985 -0.0068927 -0.41916 0.15677 -0.11883 -0.23621 0.07316 0.1067 1.1891 0.16126 0.033086 -0.047464 -0.40575].
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 [0.10127 -0.47749 -0.20734 0.83308 0.56698 -0.050911 -0.32439 -0.0091876 -0.2416 0.39534 -0.0839 -0.10525 -0.20303 0.62173 -0.13831 0.29877 0.23996 -0.66499 -0.20734 -0.10377 0.70558 0.078179 0.48454 2.7343 0.16222 0.075234 -0.037579 -0.10658 -0.82616 0.17209 -0.85622 0.028992 0.065663 0.13905 0.33738 -0.014058 0.51407 0.1227 1.2065 -0.070577 -0.17939 -0.11759 0.12984 -0.087578 0.23304 0.21344 0.46031 0.35706 -0.44556 0.10317 1.4197].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.12842 0.021976 0.14973 -0.30962 -0.034463 -0.060925 0.28485 -0.072441 0.050556 0.18457 -0.17393 -0.0012426 -0.26373 -0.14275 1.4493 -0.23381 0.29978 -0.32026 0.54885 -0.16925 0.21572 -0.08479 0.020168 -0.4269 0.94155 0.071027 0.02401 -0.018976 1.9707 -0.026818 0.18332 -0.16741 0.25357 -0.10342 -0.11005 0.093178 0.35344 -0.63188 0.089779 0.12621 0.46768 -0.13336 0.41735 0.34036 -0.030556 0.58403 0.22875 -0.067216 -0.013354 0.1396 0.54233].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.026957 0.090351 -0.15348 -0.095259 0.3843 -0.017661 0.03107 0.16014 0.11313 0.1109 -0.054382 0.0053037 -0.24464 -0.43168 0.068902 -0.28915 -0.2278 0.10734 -0.38502 0.045374 0.31189 0.4397 0.50372 0.56648 -0.22441 -0.0039824 -0.046208 0.011756 0.02923 -0.099338 -0.33807 0.37927 -0.0053072 0.25539 0.051774 0.051964 0.28004 -0.13299 -0.48982 0.083128 -0.16321 0.079815 -0.52797 -0.17986 -0.30489 -0.0028945 0.28473 -0.37844 0.045322 -0.19645 -0.47633].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.028203 -0.21421 -0.40406 -0.6337 -0.21024 -0.051997 -0.77419 0.41822 -0.055503 -0.28779 -0.126 -0.05655 -0.32311 -0.04383 -0.002516 -0.19925 -0.010413 0.024355 -0.26494 0.036039 -0.024481 0.14486 0.051378 1.0719 -0.64441 0.080139 0.0041291 0.0026703 -0.012561 -0.20747 0.22252 0.037416 0.012335 -0.011718 -0.13193 -0.068845 0.012832 -0.044884 0.1771 0.041912 -0.19309 -0.060967 -0.22105 -0.018893 0.64294 -0.70036 -0.044202 0.12986 -0.074041 -0.13163 0.78223].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.087302 0.23784 0.23414 0.11716 0.30672 -0.11577 0.29323 0.15631 -0.23047 0.10563 0.10102 0.12512 -0.32657 -0.0084355 -0.26447 0.040271 -0.01822 -0.011141 0.076453 0.075822 0.18861 -0.0066389 -0.0089727 0.73967 -0.063518 0.069458 -0.03929 -0.013529 0.072934 0.009383 -0.23579 0.036757 0.083345 -0.042464 -0.038447 0.051277 0.050102 -0.0971 -0.1503 -0.14487 0.31698 0.06844 0.39774 -0.0036061 0.55553 -0.13753 -0.88131 0.0053486 -0.0067478 0.47494 0.30176].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.08233 -0.25279 0.42958 -0.065316 0.11715 -0.012027 -0.051374 -0.18342 0.26705 0.59646 -0.0022831 -0.026775 0.032632 -0.027782 0.27848 -0.091617 -0.43338 -0.082429 0.092707 -0.069328 -0.63453 -0.032906 -0.0087075 1.4633 0.034018 -0.20673 0.041951 -0.075013 -0.048828 -0.070876 -0.87141 0.0043775 -0.0055971 0.056749 0.058013 0.024392 -0.36394 0.16325 0.16636 0.092113 -2.9263e-05 -0.27228 0.04693 -0.050423 0.15795 0.035507 -1.0379 -0.4513 0.024181 -0.079158 0.29934].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.17419 0.21394 -0.23947 -0.067169 -0.28728 0.16953 0.049586 0.1971 -0.22007 0.18329 0.033679 0.098931 0.20012 0.02342 -0.21532 0.14201 0.37459 0.10079 -0.11299 0.054128 -0.03031 -0.213 -0.073682 0.1641 0.035004 0.22859 -0.056745 0.001178 0.039699 0.054414 -0.1804 -0.028652 0.037709 -0.015227 -0.078167 0.007282 0.11928 -0.027827 -0.025404 -0.040157 -0.20877 0.28251 -0.090881 0.047941 -0.4809 0.026523 -0.00655 0.36765 0.018049 -0.41171 -0.13558].
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 [-0.023052 0.0805 0.026547 -0.11691 -0.04915 0.038404 -0.030564 0.17791 -0.15648 -0.13822 0.01478 0.025414 -0.0022017 0.15927 0.078021 -0.2062 -1.6438 -0.14363 0.099308 -1.3203 0.34945 0.63916 0.087221 0.07867 0.37053 -1.3063 0.019396 0.027924 0.12463 -0.25799 -0.024581 -0.0057784 -0.0092238 -0.14786 0.13994 -0.28876 1.8134 -0.39552 0.15755 0.10726 3.8928 -0.27787 0.0040542 0.19883 -0.11306 0.17391 -0.21783 0.27287 0.39017 -0.082509 0.93695].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.07758 0.022933 -0.013206 0.10287 -0.065552 0.08663 -0.37909 0.06453 0.004471 -0.22208 -0.012656 0.0044253 0.14636 0.018851 -0.57878 -0.2046 -0.35077 -0.095793 -0.41903 -0.022352 0.11306 -0.35109 0.14786 -0.053715 -0.19378 -0.17219 -0.0046462 -0.15488 -0.22304 -0.31473 0.098249 0.22731 -0.026895 0.072308 0.035661 -0.28203 0.0042528 0.08943 -0.039023 -0.13579 -0.54416 0.040827 -0.023821 -0.34074 -0.061858 -0.22639 -0.02949 -0.20149 -0.23183 0.17477 -0.15714].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0032187 -0.27708 -0.30175 -0.38883 0.015749 -0.018527 -0.11879 0.085187 0.092415 0.068857 -0.17354 -0.060748 -0.89908 0.20056 -0.30549 -0.093912 0.2274 -0.071355 -0.0077068 0.1895 0.15142 0.14904 0.037229 0.15759 0.1884 0.26706 -0.08056 -0.059219 -0.65654 -0.0058437 -0.014165 -0.0051708 -0.015466 -0.3769 0.0039028 0.13452 0.12713 -0.1009 0.0095902 -0.0026339 0.18436 0.29741 -0.035768 0.1226 -0.012939 0.12931 0.10955 0.029959 -0.11021 -0.065129 0.098502].
=>> PBS: job killed: walltime 86401 exceeded limit 86400
Cgroup mem limit exceeded:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.18234 -0.18413 0.16722 -0.10225 -0.011669 -0.047873 -0.041357 0.17245 -0.0042847 -0.38454 -0.13043 0.0016028 -0.074792 0.07003 0.24433 0.030313 -0.81303 -0.12823 -0.30962 0.037854 -0.0078821 0.048594 -0.03199 0.31861 -0.15555 -0.085865 0.042214 0.069624 0.048898 0.071959 0.12524 -0.42224 -0.15496 -0.01984 0.0083874 -0.54203 -0.019765 -0.10945 -0.11006 0.1253 0.52357 -0.11636 -1.1642 -0.054393 -0.16131 0.27307 -0.27796 0.26666 -0.12982 0.39889 0.62443].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.21325 0.2326 -0.98871 0.0030101 0.066904 -0.030344 0.032826 0.091633 -0.0039384 0.25787 -0.14794 -0.062914 0.12912 -0.45181 -0.011064 -0.21156 0.027676 0.30909 0.096818 -0.13613 0.080385 0.16759 0.063741 -1.0086 0.33662 0.047605 -0.014832 -0.064782 -0.018924 -0.04004 0.0070149 0.42444 -0.16251 0.048929 0.00044859 -0.044929 0.011641 -0.16826 0.088367 0.12122 -0.19949 0.067693 0.39814 0.0059197 0.16903 0.050489 1.5974 -0.21828 0.20659 0.149 -0.00037822].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.18146 -0.22102 -0.020383 -0.46234 0.0028653 0.10218 -0.23119 -0.27449 -0.018668 0.2744 0.085264 -0.013181 -0.10115 0.49475 -0.083484 0.43404 -0.19573 -0.36298 0.33592 -0.086401 -0.30058 -0.12683 -0.029607 -1.1747 0.034922 0.045497 -0.094258 0.081384 -0.01815 0.034972 0.013795 -0.16902 0.48022 -0.46576 -0.033966 -0.22758 0.054329 0.1479 -0.10605 -0.10774 0.20711 -0.30762 -0.4926 0.051813 0.052303 -0.194 -0.078407 0.12091 -0.08454 -0.05419 0.0022259].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.048385 0.20522 -0.22043 -0.50107 -0.1604 -0.010507 0.0025066 -0.24525 -0.095505 -0.004303 -0.070947 -0.0042133 -0.49979 0.027336 -0.041285 0.25511 0.20018 0.37214 -0.28036 -0.08913 0.35981 0.14018 0.02777 0.80894 -0.0043801 -0.13128 0.075116 -0.0028802 0.048594 0.010479 0.063012 0.31713 -0.40592 0.36408 0.037782 0.083849 0.0048243 0.00032263 0.08184 -0.05667 -0.029681 -0.18582 -0.59725 -0.0042169 0.096136 0.086674 -0.45991 -0.38463 -0.12527 0.10231 -0.26354].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.12282 0.058839 0.25123 -0.10245 0.14309 -0.0024127 0.10459 -1.0165 -0.021106 0.038423 -0.17078 0.080127 0.027663 -0.0010904 -0.33414 -0.33725 -0.14505 -0.84529 0.11369 0.2711 -0.79892 -0.013642 0.017597 -0.19327 -0.24736 0.050902 -0.00622 -0.057585 -0.33384 -0.0021624 -0.052589 -0.083995 0.22854 -0.13321 -0.025037 0.17402 -0.0032828 0.032644 -0.17069 0.10017 0.067254 0.33606 0.31653 0.011146 -0.11068 0.094549 0.67768 -0.12914 -0.15087 -0.21484 0.23428].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.10021 -0.30069 0.017373 0.042058 -0.097997 -0.040783 -0.013719 -0.15066 0.10012 0.15746 0.21397 0.02541 -0.042876 -0.18611 0.45803 0.27783 0.14544 0.30317 -0.17547 -0.070367 0.24087 -0.34463 -0.068664 0.011673 -0.10271 0.064211 0.036054 0.060041 0.30957 -0.0096479 -0.024104 -0.25001 0.22489 0.083316 -0.0022111 0.0010744 0.010393 -0.18919 0.096386 0.063784 -0.088192 0.19259 -0.35507 -0.00088627 -0.40522 -0.49229 -1.0034 0.61678 0.38904 0.05978 -0.016396].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.042115 0.44781 -0.00077901 -0.07457 0.10795 0.021084 0.11126 0.024902 0.064707 -0.097806 0.17645 -0.083577 0.4409 0.15572 -0.1264 -0.32984 -0.012387 0.0098862 0.26055 0.066961 0.10196 0.1702 0.057522 -0.32517 0.17637 -0.099077 -0.016768 0.0011873 0.036674 -0.015888 0.088744 -0.0057629 -0.09078 0.24585 0.017397 0.00059576 -0.0013365 0.16066 0.13887 -0.071032 0.11132 -0.0050674 0.43162 -0.47659 0.1396 0.51769 0.14566 0.005368 -0.77394 0.14638 -0.064981].
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 [0.01583 0.093484 0.014928 -0.64155 0.090006 0.0023722 0.12883 0.1231 0.0177 -0.053786 -0.080078 -0.0086817 -0.17183 0.014222 0.0033298 -0.21945 -0.60665 0.26151 0.15502 -0.14339 -0.38306 -0.44411 -0.23165 0.13595 0.044343 0.42803 0.23462 -0.11971 -0.08567 0.061033 0.10839 -0.043706 0.065038 0.15326 -0.017373 -0.054818 0.48257 0.068135 -0.036275 -0.13763 -0.095161 -0.088169 0.072379 -0.61584 -0.10819 0.10738 -2.0941 0.31652 0.12119 0.017795 0.053565].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.32792 -0.01656 0.41002 1.6068 0.02707 -0.093272 0.0089459 -0.28474 -0.11705 -0.052221 0.087829 0.023142 0.075792 0.080924 0.80613 -0.005497 -0.37493 0.025682 0.042317 0.081349 -0.027213 -0.0031852 0.040391 0.0097491 -0.0088867 -0.028382 0.0013482 0.06908 0.35355 -0.0043689 -0.034829 0.06213 0.0096405 -0.53279 0.12676 -0.0098894 0.027086 0.015986 0.030867 0.19409 -0.060887 0.01008 -0.099482 -0.028024 -0.032594 -0.16333 0.15026 0.34052 0.05782 0.032696 -0.42486].
=>> PBS: job killed: walltime 86512 exceeded limit 86400
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 [80.81104 21.31264 48.04508 65.57736 35.28641 18.70454 13.58266 67.26031 4.903609 68.87812 29.60484 62.34984 25.23597 117.6877 19.38522 174.249 17.7763 48.93789 84.28596 2.958558 163.4202 80.52479 0.7408377 179.655 61.00368 63.35328 10.70673 110.4052 58.07166 9.99597 9.703565 7.913652 3.494645 4.733275 1.447682 13.7129 2.64434 10.54372 132.9075 154.0439 28.48501 65.73746 54.24482 4.934075 4.013469 18.39218 98.3388 21.98095 5.253998 92.7304 59.49061].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.40217 1.23747 4.05712 3.87439 0.263746 0.0631321 -0.113623 -0.354596 0.254472 1.9851 -0.0776837 1.54404 0.457645 9.93706 1.20722 5.68453 1.48269 1.77255 2.09334 2.19948 14.7974 0.479485 0.0986423 22.4952 2.76775 21.5231 0.00232928 3.40228 1.75993 0.0460844 -0.116813 0.0239806 -0.00757269 -0.171491 0.00812678 0.267246 -0.0413622 -0.0589861 12.5516 2.8761 5.55967 3.64198 5.00151 0.167558 0.128443 0.579518 5.3278 -0.16907 -0.155643 7.09874 6.82582].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.10966 0.07171 0.31753 0.73178 0.0193 0.013724 -0.44996 0.25722 0.1205 -0.091291 0.011123 0.14392 -0.053714 1.5712 -0.14402 1.3809 -0.21698 -0.66475 0.56081 -0.37616 4.3592 0.56335 -0.14333 3.9384 0.10636 0.99083 0.11856 -0.075254 0.019566 0.048784 -0.047957 -0.06884 0.0077669 -0.094652 0.036054 0.045786 -0.19213 0.0035765 2.0185 -0.10293 0.50239 0.33092 0.18811 -0.039468 -0.077062 0.00018633 -0.17507 0.36826 -0.091222 2.3777 1.4816].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.055195 0.027964 0.19822 0.012865 -0.77679 0.0090244 0.062056 0.086659 0.056329 0.12686 -0.025742 0.0044018 0.028706 0.094834 -0.031838 0.37357 0.039036 0.025467 0.047924 -0.0042051 0.72341 -0.1445 -0.047111 0.011241 0.3311 1.2074 0.024523 0.15992 -0.22386 -0.014337 0.037806 -0.13063 0.0035527 0.0011967 0.15847 -0.026118 -0.33726 -0.03613 -0.054222 -0.11471 -0.060724 -0.58122 -0.015618 -0.054231 0.15843 -0.016682 -0.065118 0.29031 0.15384 0.011197 0.5639].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.046023 -0.011495 0.13416 0.38005 0.031636 0.0093285 -0.028358 -0.13331 0.3249 -0.23114 -0.057482 -0.0036219 0.0069204 0.18368 0.049899 -0.0047608 -0.12351 0.012572 0.22654 -0.084862 -0.18568 0.0089097 0.043325 -0.26653 0.042615 0.20178 0.059764 -0.0015761 0.20414 -0.0013199 -0.25169 -0.029345 0.19036 -0.0031032 -0.048323 -0.053277 0.29783 0.00087203 0.062943 -0.43017 -0.48339 0.20047 -1.185 0.077006 -0.2342 -0.054805 0.31394 -0.062769 -0.090353 -0.52049 0.066735].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.092677 -0.075401 0.011422 -0.5882 -0.0064591 -0.048928 0.0026429 -0.018062 -0.17469 0.23194 0.010362 -0.013664 -0.0051782 -0.067476 -0.046511 -0.13917 0.035421 -0.2106 0.16081 0.079541 0.59021 0.06681 -0.024803 0.20133 -0.077294 0.15636 0.12013 -0.1379 -0.0026531 0.018022 0.20429 0.15008 -0.068802 0.0026628 -0.089421 0.073172 0.39297 -0.18049 -0.086386 0.48987 0.44365 -0.038407 -0.14137 -0.13264 0.21343 0.00095766 -0.99317 0.079713 0.14982 0.025472 -0.0041169].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11377 0.03218 -0.013519 0.10943 -0.032931 0.021173 0.021559 0.18024 -0.091036 -0.012882 0.01232 -0.023376 -0.01859 0.011547 0.041586 0.13362 -0.16143 -0.047167 -0.026057 0.082621 -0.02789 0.015841 0.030932 -0.35709 -0.092858 -0.047758 -0.40943 0.13647 -0.032813 -0.006384 0.017479 -0.023337 0.010958 -0.0051467 -0.048711 -0.01793 -0.25645 0.19655 0.053255 -0.29931 0.014014 0.0078134 0.3385 0.061081 -0.14635 -0.069768 -0.22062 -0.0065314 -0.18449 0.062518 -0.013392].
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 [4.11239 13.93117 24.7544 54.56327 32.53588 0.3287675 10.49152 52.91576 6.939524 37.53611 5.894795 1.929836 29.78104 24.52205 61.34505 26.25596 56.94472 47.98497 58.73001 96.3616 77.05919 57.57611 5.389403 195.2525 17.50712 49.0358 1.654152 9.599429 92.59557 9.662284 5.226502 4.62522 1.473511 2.476627 14.1466 22.99584 44.25705 23.82941 4.256953 7.017552 29.13498 50.42769 55.06881 7.450559 1.900247 23.87199 384.4249 63.41579 34.68399 63.33647 76.51336].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.14038 -0.176737 1.97396 2.13763 5.78169 0.0137026 0.778713 0.94717 -0.748103 3.58995 0.111964 0.25 2.78385 1.4069 6.42172 -0.237781 6.23102 4.87754 3.33857 3.96637 3.8114 8.10347 -0.667488 6.11737 0.725073 4.33422 0.187717 0.26634 3.138 0.87931 0.725033 0.434052 0.665035 0.256082 0.105201 1.2394 1.83263 0.967086 0.589466 0.089684 2.16684 1.43007 5.80195 0.66107 0.663837 1.52979 34.4607 3.78244 0.601573 5.56532 4.70738].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.015604 0.29946 -0.0093585 1.7741 1.2862 -0.00083422 0.56208 0.55741 -0.36082 0.0098604 -0.0066416 0.05204 -0.056017 0.61692 -0.023629 -0.16214 0.15936 -0.057597 -0.20507 -0.87156 2.2829 -0.64763 -0.33579 2.324 -0.047945 -0.077976 0.11113 0.040844 0.94388 0.21519 -0.38699 0.080085 0.020146 0.31552 -0.017557 0.079931 0.049377 0.34978 -0.2511 0.16711 -0.40853 0.55041 -0.89068 -1.1062 -0.20309 -0.13657 4.1456 0.34081 -0.059544 2.2239 -1.0527].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0069925 0.040965 -0.30471 -0.30365 1.3842 -0.067321 0.26251 0.069082 0.068606 0.056014 -0.046853 -0.15495 0.1044 -0.29083 0.3776 0.032703 -0.14982 -0.82635 -0.16138 0.037003 0.065166 -0.16555 -0.021333 3.0316 -0.18563 0.7959 0.032359 0.037796 0.50371 0.0017798 -0.14408 -0.034476 0.015868 -0.0072717 0.024919 0.057099 0.054232 0.032453 0.47751 0.0055448 -0.080472 0.39266 0.011047 0.90912 0.0017737 -0.38724 -0.19327 0.20747 0.013048 -0.20894 0.2217].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.1815 0.099844 0.30506 0.47377 0.18518 0.065568 -0.42749 -0.88933 -0.18593 -0.10617 -0.17763 0.058222 -0.48833 0.32687 -0.50224 -0.14506 -0.011238 0.055562 -0.041438 -0.072038 0.003201 0.059418 0.072735 0.060522 0.15961 -0.078636 0.0020529 -0.024865 -0.28983 0.025389 0.29352 0.029418 0.036573 -0.035929 -0.016774 -0.385 -0.67497 -0.016147 -0.22577 -0.028098 -0.10288 0.015552 -0.26155 0.021315 -0.31818 0.29712 -1.0433 -0.26745 -0.06018 0.17909 0.053106].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.14251 -0.0864 -0.46062 0.35822 -8.3539e-05 -0.021794 0.35922 0.31644 0.23053 0.097388 0.19185 -0.051058 -0.013985 -0.20463 0.11575 0.079478 0.16131 0.12261 0.11778 -0.027581 -0.073202 0.039572 -0.25728 -0.11519 -0.031853 -0.17925 -0.008378 0.011224 0.22138 0.059818 -0.15621 0.0066658 0.034036 0.052517 0.015582 0.38569 0.0045242 -0.006369 0.050032 0.027944 -0.6864 -0.29493 -0.33375 -0.010386 0.1409 -0.039603 -1.0825 0.2267 0.057747 -0.022058 0.020692].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.036426 0.066591 0.50507 0.80529 -0.028305 0.0036449 0.025785 -0.2396 0.029483 0.020806 0.037374 0.094717 0.36344 0.42675 -0.00039152 0.064593 0.043645 0.35831 0.05333 0.095923 0.056448 -0.029665 0.012278 0.066164 0.049406 0.28325 -0.095076 -0.021605 0.072114 -0.043249 -0.1834 -0.033293 0.045034 -0.27569 -0.0053743 0.012632 -0.025192 0.0038958 -0.083754 0.00036126 0.21234 0.23077 0.558 -0.23426 -0.26787 0.064018 1.0025 0.070291 -0.40165 0.04511 -0.04707].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.21377 0.0012945 -0.13898 -0.58827 0.0086256 -0.000188 -0.22319 0.24845 -0.030043 -0.28837 -0.067669 -0.1071 -0.085316 -0.4395 0.00060276 0.014448 -0.059592 -0.45166 -0.35048 -0.0046185 -0.0502 -0.49307 0.009802 0.054219 0.00019494 0.24684 0.035278 0.034521 -0.28294 0.03549 0.067155 0.010442 0.020418 0.24114 -0.015914 0.013778 0.024352 0.020136 -0.38578 -0.009082 0.019965 0.098858 -0.0069499 0.25038 0.33065 0.011609 -0.51395 -0.1647 0.37606 -0.0026236 -0.55149].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.18989 -0.049165 0.17604 0.23568 0.057275 0.010003 0.22014 -0.14395 0.030122 0.3028 -0.055292 0.14523 -0.16352 0.18418 -0.12472 -0.12948 0.064558 0.21809 0.38861 -0.31068 -0.02451 0.18685 -0.10283 -0.0026739 -0.036681 -0.16129 -0.19764 -0.030746 0.1689 -0.22404 -0.15591 0.017436 -0.26015 -0.18142 0.022662 -0.16542 -0.01582 -0.057069 -0.17688 -0.0039614 -0.0099121 -0.20199 -0.037409 -0.14931 -0.060782 -0.04615 0.29928 -0.016662 0.047901 -0.0833 0.45053].
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 [-0.1036 -0.49723 -0.0050709 -0.20036 0.20966 -0.066153 0.04145 0.24571 -0.045427 1.1745 -0.011777 0.16816 -0.053268 1.2968 -0.34168 -0.19651 -0.0033529 0.12098 0.056036 0.095299 -0.037488 -0.2249 -0.067774 2.8361 -0.18603 0.4582 0.00072291 -0.029995 1.0813 0.15285 0.00036839 0.12399 0.041124 0.1059 0.85099 -0.19489 0.2635 0.19728 1.0988 0.48981 0.28059 0.067726 0.41825 0.043113 0.016268 -1.2626 0.86064 0.081291 0.0055148 0.24083 2.3808].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.012272 -1.0262 -0.31824 0.033287 -0.37552 0.032625 0.11514 0.01223 -0.28517 0.14644 -0.010853 -0.10406 0.01779 -0.2101 0.0054532 -0.081393 -0.025561 0.030723 -0.026633 -0.33939 0.015731 0.43129 -0.015053 0.10707 0.10871 -0.24051 0.00058879 0.050955 0.73033 0.0063927 -0.97072 0.15433 -0.012095 -0.094785 -0.023392 0.029865 -0.38928 0.5915 0.0035222 0.0098447 -1.129 -0.1492 0.95918 0.0036824 0.2106 -1.184 0.45926 -0.028934 -0.13305 -1.3324 -0.0076035].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.04111 -0.17286 -0.31688 -0.2535 0.26726 -0.12133 0.094487 0.20823 0.046739 0.026487 -0.037381 0.031098 -0.13862 -0.0010732 0.055523 0.10931 -0.11866 -0.010258 -0.072722 0.03295 0.22691 -0.12101 -0.0037651 1.2868 0.013211 -0.25228 0.021787 -0.13561 -0.24724 -0.26612 0.34085 -0.46097 -0.0010688 -0.047882 0.018544 0.0017843 0.22097 0.022904 0.93485 -0.050252 0.937 0.25008 0.04564 0.043328 -0.099039 -0.20374 0.91124 -0.20768 0.010942 0.49096 0.0084133].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.080145 -0.43125 0.051728 -0.69179 -0.13473 -0.075553 -0.1369 0.012964 -0.27792 0.032162 0.060559 0.032976 0.45716 -0.18993 0.070462 -0.013471 0.027599 -0.22414 0.047852 0.34252 -0.05472 0.019649 0.2131 0.26332 -0.0087996 -0.37383 0.057188 -0.057169 -0.15931 0.16548 -0.038878 -0.27669 0.12193 -0.14126 -0.0015885 0.0040799 0.017745 -0.031608 -0.082954 0.083307 -0.054966 0.032389 -0.0032673 0.49525 -0.067223 0.1312 -0.41865 -0.15256 -0.059722 0.064708 -0.056141].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.33963 0.38556 0.1414 -1.0509 0.17005 -0.079354 0.16676 -0.076649 0.15288 -0.51379 -0.15561 0.0050731 -0.11404 0.3904 0.03907 -0.47172 -0.11029 0.39739 -0.062269 -0.16695 0.082782 -0.046592 -0.10172 -0.318 -0.017605 0.37045 0.056175 -0.1104 0.071832 0.044659 -0.0092751 0.27455 0.063618 0.06712 -0.11997 -0.18793 -0.6112 0.055295 0.066013 0.06161 0.15566 -0.11129 0.0085844 -0.91746 0.0095704 -0.3848 0.26809 0.4642 0.15443 -0.091156 -0.16847].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.038354 -0.20145 -0.016369 0.050341 -0.27106 -0.034183 0.0019239 0.12766 0.15088 0.010328 -0.015726 -0.16023 -0.33661 -0.053286 -0.030916 0.48887 0.17998 0.019064 -0.89502 0.22225 0.044163 -0.032011 -0.34927 -0.12767 0.01188 0.017432 0.053334 0.16482 -0.41898 -0.13261 -0.062837 -0.031437 -0.079398 0.10206 0.14265 0.16311 -0.0024085 -0.0050537 -0.0039355 -0.26691 -0.47846 0.01013 0.068582 -0.053112 0.06463 0.23679 0.036274 0.143 0.020841 0.18158 -0.051219].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.36163 0.3542 -0.13107 -0.3282 0.18154 0.11789 -0.084087 -0.34892 -0.070223 -0.034458 0.15009 0.26187 -0.0027105 -0.07459 -0.14693 -0.11542 -0.00078808 0.083329 -0.16951 -0.27456 -0.004186 0.041305 0.30916 -0.090332 -0.0074038 -0.19087 -0.05549 -0.075671 0.4348 0.049209 0.015106 -0.0328 0.096986 -0.1489 -0.026736 -0.025771 -0.23604 0.0089552 -0.33369 0.26246 0.24981 -0.14139 -0.027271 -0.055103 -0.1026 0.15535 -0.078622 -0.20825 -0.13915 -0.032142 0.25813].
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 [-0.014904 0.21939 -0.18064 1.3535 -0.19966 0.0048602 -0.025547 0.14749 -0.063359 0.04191 0.63576 -0.15931 0.12645 0.57647 0.1325 0.048403 -0.00073014 -0.089332 0.023088 -0.50741 0.078839 -0.27949 -0.17383 1.4376 -0.34178 0.12761 0.045193 0.014268 0.0092346 -0.38197 -0.53013 -0.00030625 -0.044032 0.073581 -0.019321 0.2744 1.1993 -0.25937 -0.10335 -0.026103 -0.38852 0.095846 0.29707 0.22191 -0.35354 0.052466 0.5119 0.22441 0.050099 -1.1622 -0.33774].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0046454 -0.13577 -0.26994 0.051652 -0.0075717 0.030738 0.015201 0.075523 -0.23366 -0.036491 -0.31583 0.023704 -0.27783 0.037311 0.28497 -0.23385 -0.0024352 0.063195 0.1318 0.0094008 0.19849 -0.055609 -0.016163 -0.27832 -0.089771 0.021819 0.0033124 -0.021576 -0.28497 0.35081 -0.25729 -0.41635 0.018104 -0.0015733 0.17246 -0.58907 -0.17456 -0.032938 -0.92781 -0.0080812 0.45697 -0.36334 0.18616 0.27468 0.010189 0.14762 0.09491 0.25254 0.072086 -0.0098554 0.66082].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.085365 -0.23184 -0.0023278 -0.1999 -0.17626 0.07062 -0.0024314 -0.061044 -0.25541 -0.094132 0.047105 0.091861 0.46069 -0.031771 -0.05372 -0.18188 -1.4291 -0.092535 0.018318 0.65672 -0.064314 0.43104 -0.13321 0.1622 -0.0094263 0.39699 -0.029175 -0.45969 0.020448 -0.10675 -0.119 0.10414 -0.03232 -0.015668 0.018043 -0.01573 0.0036487 0.2596 -0.067766 -0.0096756 -0.0095658 0.15963 -0.20034 -0.03094 0.12638 0.34564 -0.11985 0.007855 -0.19705 -0.26829 0.96461].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.073907 0.019444 -0.08146 0.25816 -0.009 -0.028856 -0.028639 0.058416 0.034535 -0.058598 -0.20295 -0.0035445 0.17798 -0.24321 0.1303 0.61169 0.49501 0.41892 0.19333 0.14593 0.11451 -0.86158 0.0021096 -0.6215 0.081106 0.082261 0.01373 -0.13091 -0.3276 -0.056139 -0.092286 0.19433 0.19683 -0.42602 0.1094 0.16172 1.031 0.39385 -0.063558 0.091521 0.086291 0.10511 -0.63191 -0.0086007 -0.01994 -0.0616 0.76954 -0.0043723 0.098418 -0.29533 0.529].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.096795 -0.051513 0.11497 -0.92589 -0.042376 0.021717 -0.024066 -0.25565 -0.034727 0.033584 0.58347 0.32118 0.11185 -0.18544 0.027881 0.36942 -0.018318 0.25033 -0.0097652 0.14758 0.0085924 0.11475 0.034114 -0.34666 0.039118 -0.47143 -0.0025291 0.067582 0.12808 0.025358 0.15468 0.10168 0.12655 -0.0167 -0.02227 -0.33971 -0.10535 -0.40847 0.0053562 -0.29189 -0.58539 0.11959 0.21159 -0.0060116 0.085761 -0.18296 0.57499 -0.0072895 -0.22414 0.41683 -0.11237].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.17066 0.06324 -0.11735 0.84789 0.05101 -0.0050824 -0.047962 -0.33807 -0.023158 -0.41464 -0.010622 -0.21104 -0.20085 0.62992 -0.14176 -0.53809 0.030972 -1.1194 0.036602 -0.093073 -0.84994 -0.66316 -0.038489 0.087342 -0.058801 0.50296 0.0027063 -0.17054 0.21203 0.032905 -0.12669 -0.45635 -0.051531 0.45121 -0.04816 -0.16661 0.39352 0.3718 -0.025788 0.13117 0.25685 -1.094 0.035785 0.0089862 -0.089263 -0.52942 0.26455 -0.3176 0.029159 -0.017398 0.06944].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.012686 -0.00033795 0.15125 0.14635 -0.025928 -0.011846 0.088812 0.1065 0.046546 -0.36735 0.056433 -0.25239 0.028046 0.12791 -0.19758 -0.73221 -0.020628 0.060535 -0.24035 -0.13681 0.36622 0.04797 -0.0090051 -0.39341 -0.027295 0.36856 -0.016808 0.19651 0.032184 -0.058619 -0.0049078 -0.052387 -0.14082 -0.28429 -0.020242 0.13156 0.075387 -0.20952 0.075061 0.13347 -0.38969 0.17083 0.010545 -0.024042 0.047686 0.0020488 -0.86874 0.60882 0.23777 0.019721 -0.093557].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.15631 -0.026519 -0.66887 -0.2773 0.017622 0.026985 -0.015331 0.12145 0.022062 0.71499 0.0077123 0.25731 0.14323 -0.010282 0.18528 0.60474 -0.44041 -0.33306 -0.10957 0.23283 -0.029773 0.17062 -0.080856 -0.082825 0.034149 0.04862 0.015949 -0.5382 0.1796 0.027303 0.31379 0.15379 0.013988 0.25058 0.029408 -0.094526 0.042595 0.15728 -0.2797 -0.021342 0.52177 -0.023656 -0.026323 0.024654 0.031864 -0.0024499 -1.4906 0.28533 -0.17941 -0.033354 0.23349].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.15692 -0.1418 0.045665 0.3039 -0.033918 -0.010321 -0.03288 0.23337 -0.1273 -0.32439 -0.04005 -0.036042 -0.05484 0.013196 0.15682 -0.023448 0.31432 0.30971 0.15863 0.00081106 0.035335 -0.35959 0.11243 -1.1108 0.0060051 -0.20596 -0.011723 -0.70993 -0.49354 0.0214 -0.16815 0.24984 0.097574 -0.32325 0.01266 0.45632 0.061689 -0.028784 0.24463 -0.20483 0.081292 0.033945 -1.1683 -4.3521e-05 -0.0047261 -0.22965 0.097444 -1.4655 0.10778 0.042174 -0.057683].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.073012 -0.046572 -0.64393 -0.03889 -0.31148 -0.022952 -0.11597 0.14239 0.024305 -0.15099 -0.078865 0.09249 0.032035 -0.0083722 -0.29678 0.020813 0.12018 0.0088299 0.20775 0.00069952 -0.065771 -0.30164 -0.016193 1.8935 -0.040847 0.078975 0.0035691 0.035135 -0.3245 -0.062238 -0.15804 -0.32027 0.13443 0.15226 0.035923 -0.48362 -0.066895 0.12186 -0.056556 0.16708 -0.12536 -0.054634 -1.38 -0.0022871 0.018841 0.074001 -0.15175 -0.15371 0.05038 -0.0042193 -0.034992].
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 [0.076419 -0.22158 -0.49827 0.25809 0.092374 -0.017212 0.15513 0.14472 -0.049609 0.086571 -0.095706 -0.034303 0.064961 0.040082 -0.0085237 -0.083393 0.37016 0.53012 -0.21917 -0.45873 -0.19316 -0.20512 -0.10212 0.051492 -0.084399 0.11577 0.17363 -0.16805 0.20808 0.54267 0.12218 0.0088261 0.23653 -0.0081892 0.08145 -0.0071462 0.041993 0.068737 -0.09946 -0.047723 -0.027082 0.16682 -0.071558 -0.34689 -0.13307 0.34 0.091509 -0.016992 0.054564 0.4306 0.32623].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.33008 0.011193 -0.12914 0.91642 0.083027 0.072371 -0.010557 -0.56056 -0.16549 -0.071363 -0.028717 -0.20897 -0.041797 -0.037258 -0.48141 -0.58431 -0.057375 0.050273 -0.60822 -0.078805 -0.021559 -0.37643 -0.2202 1.8816 0.24802 -0.037145 0.011233 -0.082752 -0.83403 0.064053 0.054457 0.085436 -0.11158 0.39705 0.28218 -0.21336 -0.73935 0.1728 -0.01577 -0.054016 0.035635 -0.6703 0.0071007 0.41953 -0.14781 -0.010123 0.01111 -0.75515 -0.13662 0.63892 1.0333].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.057886 -0.083418 -0.13547 -0.42262 0.022267 -0.024678 -0.25936 0.0086311 0.17748 0.06305 -0.0027337 -0.019985 -0.36326 0.086236 -0.66432 -0.024456 -0.00067257 -0.50028 0.023108 0.10075 -0.014498 0.54815 -0.11994 -0.2444 -0.023423 0.24253 -0.055135 -0.13587 0.11927 0.17529 -0.039004 0.15792 -0.0083471 0.039591 0.044526 -0.011656 -0.086717 -0.079846 -0.0059733 -0.03523 0.15229 -0.097769 0.069678 -0.030932 0.025915 -0.048314 0.12633 -0.073669 0.0052232 0.037284 -0.3225].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.047823 -0.40123 -0.035369 -0.08737 -0.026632 -0.049556 -0.098896 -0.021707 0.22838 -1.0854 -0.114 -0.069713 0.052839 0.034297 -0.43623 0.029272 -0.21029 0.052898 -0.26254 -0.59824 -0.061114 0.41095 0.025595 -0.46586 -0.32123 0.22732 0.0048146 0.084226 -0.041262 0.039437 0.16162 0.019683 0.069886 0.072367 -0.031895 0.026414 -0.26485 0.00046263 0.21559 -0.045562 0.51575 -0.25075 0.0079472 0.035208 0.59587 0.052296 0.11435 0.048454 -0.010198 -1.0324 0.1077].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.036357 0.16719 0.11507 -0.35693 -0.32485 0.079235 0.10621 0.26411 0.071361 0.10136 0.093672 -0.17489 -0.053542 -0.021559 0.45579 0.011635 0.30875 -0.0080155 0.53747 1.1455 0.097742 0.056432 0.0029849 0.46206 -0.15827 -0.11969 -0.0034341 0.20626 -0.093912 -0.11002 -0.05111 -0.049902 -0.026286 -0.0056363 0.076888 0.031356 0.91236 -0.029141 0.18372 0.044957 0.30269 -0.11694 -0.58868 0.0022341 -0.1342 0.00062459 -0.0030557 -0.028571 -0.0078328 -0.4126 0.13298].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.070079 0.31412 0.0064389 0.39653 0.32867 -0.11742 -0.21061 -0.41904 -0.33376 -0.13121 0.0056337 0.30608 0.056582 0.021774 -0.028561 -0.003877 0.069259 0.045866 0.017054 0.40629 0.13269 -0.11105 -0.16709 -0.023248 0.035119 0.29727 -0.0033086 -0.15509 0.27162 -0.06414 -0.061197 0.002068 0.027647 -0.052341 -0.017976 0.0070307 0.040613 -0.26745 -0.038241 0.0012208 -0.60524 0.25935 -0.72959 -0.0164 -0.2292 -0.28536 -0.095761 -0.27744 -0.10862 -0.049004 0.23654].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11092 0.01831 0.00025542 0.044855 -0.00076664 0.090019 0.050037 0.52678 0.091543 0.27766 0.0095278 -0.13049 -0.1528 -0.054155 0.017546 -0.023114 0.02749 -0.026152 -0.48257 -0.041952 -0.0059651 0.043092 0.053963 -0.14849 0.11662 -0.036108 -0.019472 -0.2928 0.007375 0.12095 0.094321 0.039517 -0.14532 0.040009 -0.10984 -0.18568 -0.012842 0.29058 0.012661 -0.0052074 -0.11692 -0.16409 0.15157 -0.0021837 -0.25667 0.15074 0.092477 0.20721 0.14299 0.053972 -0.077288].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.056687 -0.15288 -0.010475 -0.027527 0.0078883 -0.14034 0.14555 -0.11081 0.22383 -0.13093 0.015788 0.052901 0.14803 0.034666 -0.39826 -0.00095674 -0.12244 -0.12731 0.46284 -2.7963e-05 -0.00089637 0.066038 0.053519 0.1677 0.25362 -0.15344 0.023187 0.30516 -0.25057 -0.068941 -0.0050421 -0.013537 0.13863 -0.070618 -0.016072 -0.18677 0.053277 0.0089581 -0.03758 -0.021534 -0.036563 -0.0056324 -0.37644 0.012993 0.16736 -0.036021 -0.88135 -0.067743 0.0034814 0.68987 -0.025366].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.097213 0.087171 -0.089507 0.004294 -0.053311 0.049721 -0.058941 -0.55779 -0.32718 -0.096206 -0.05732 -0.19041 -0.12259 0.036268 0.24692 -0.22838 0.10107 0.011516 0.023719 0.031053 -0.0096501 -0.0032866 0.057676 -0.11734 -0.37759 0.061191 0.0043379 0.1079 -0.19597 0.11737 0.016315 0.024179 -0.024545 0.10749 -0.043264 0.3738 -0.29594 -0.15316 0.027535 0.0038455 -0.065834 0.18969 -0.13597 0.006076 0.18865 0.099106 -0.34064 -0.41934 -0.0005629 0.008696 -0.011506].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.23585 0.089104 0.0087946 -0.34201 0.044377 -0.0030615 -0.22783 0.294 0.33394 -0.090304 -0.10659 0.032562 -0.41691 0.00080552 0.1579 0.029715 0.0011788 0.13323 -0.036875 -0.00059254 -0.017149 -0.81211 -0.02401 0.10626 0.056891 0.0072505 -0.013025 -0.20068 0.32546 -0.061301 -0.18852 -0.012143 -0.0036032 -0.0048343 0.10847 0.0064371 0.25475 0.020363 -0.084731 -0.027763 0.09198 -0.35956 0.13601 -0.033208 0.66221 -0.029941 0.23569 0.49808 -0.007233 -0.11846 0.1062].
Records are aligned to the target stack.
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Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
=>> PBS: job killed: walltime 86465 exceeded limit 86400