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R44.log
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MATLAB is selecting SOFTWARE rendering.
OMP: Warning #182: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2024 The MathWorks, Inc.
R2024a Update 5 (24.1.0.2653294) 64-bit (glnxa64)
June 24, 2024
To get started, type doc.
For product information, visit www.mathworks.com.
Starting parallel pool (parpool) using the 'local' profile ...
Connected to parallel pool with 36 workers.
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 [18.2284 26.361 31.9908 13.6433 14.4859 14.2066 11.6265 7.07707 18.0499 13.2212 2.29076 3.88233 9.28604 5.58482 10.4991 0.402518 5.03596 16.3049 12.753 11.9888 13.4578 9.0941 30.0182 20.7946 24.1139 62.9379 30.2081 11.993 10.6278 12.7957 19.4145 10.371 37.1061 19.342 58.0525 14.7276 9.29665 6.32465 26.0279 10.9839 2.11941 21.7912 21.0981 5.38685 26.089 13.4067 18.3869 9.8818 1.5273 49.8144 6.94039 36.0745 12.7476 8.86074 47.5381 20.9451 22.4247].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.5292 1.4868 2.4316 0.093055 0.18255 -0.088406 1.4581 -0.073301 0.64034 -0.33466 0.21564 0.11868 0.57493 0.31189 0.86281 0.0056543 0.27445 0.88565 0.20684 0.12365 1.9491 0.22932 1.2208 -0.62349 0.25314 0.57889 4.8422 1.6007 1.066 0.14791 -0.15845 0.80655 1.0238 0.30623 2.9928 -0.23543 -0.032518 0.27446 0.38101 0.2515 0.19598 0.67279 -0.25463 0.34324 0.051038 0.55488 0.96146 -0.074178 -0.11972 2.5051 1.1101 3.1921 0.6906 0.18145 0.37333 0.64193 0.79357].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11555 0.45493 -0.041825 0.008805 0.34283 -0.011339 -0.084998 0.32798 0.30833 -0.085916 0.09875 0.22925 0.0079235 0.0077386 1.3056 0.052233 -0.20753 0.24617 0.13686 0.014759 0.38696 0.014999 -0.0063189 -0.69139 0.15447 0.25047 0.73359 0.20967 -0.03904 0.4078 -0.29342 0.21146 0.26255 0.21843 0.074165 -0.15471 0.17528 -0.035863 0.11104 0.21853 -0.0053681 0.042976 -0.31621 -0.070113 0.39691 -0.038067 0.027242 -0.044852 -0.052505 0.27132 -0.1772 -0.17239 0.014973 -0.04641 1.2895 0.23788 -0.18969].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0053281 0.19471 -0.055075 0.24522 0.10073 0.0066661 -0.1516 -0.0052416 0.0041156 -0.009602 -0.16052 0.16647 -0.012864 -0.11334 -0.0042906 -0.050617 0.14533 1.32 -0.69266 0.26852 -0.082706 0.032689 0.037823 -0.44477 -0.16567 -0.32545 -0.0053917 -0.056101 0.3672 -0.020464 0.063685 -0.026649 -0.2451 0.14861 0.44579 -0.14737 -0.019163 -0.031219 -0.012523 0.022774 0.095807 -0.22771 0.042639 0.050529 -0.065048 0.075258 -0.099946 -0.12507 0.011483 -0.30849 0.11101 0.42984 0.077723 0.1846 0.33262 -0.12702 0.054406].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.2893 0.10266 -0.28801 0.024134 0.0092811 -0.010308 0.10752 -0.063043 0.14448 -0.010455 0.15621 -0.039937 0.0060086 -0.033831 -0.0088613 0.045926 0.012151 -0.15504 0.1625 -0.096932 0.23223 0.048943 -0.032782 0.50499 0.080032 0.41865 0.07452 -0.1321 -0.090823 -0.072899 -0.0037564 0.003685 0.43389 -0.12347 -0.033401 0.11537 -0.00031069 0.024323 -0.030691 0.018867 -0.053404 0.27963 -0.20422 -0.21935 0.061678 -0.0066218 0.23549 0.066328 -0.054411 0.034299 -0.015332 -0.014304 -0.25856 0.040993 0.0031808 0.034405 -0.01272].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.42245 0.0075864 0.46425 -0.037143 0.0045226 0.055877 -0.078093 0.05657 0.064913 -0.060677 -0.088404 -0.019646 -0.091744 0.091125 -0.03954 -0.035257 -0.096511 0.19808 0.010171 0.27385 0.09537 -0.01604 0.00030583 0.013565 0.070564 -0.023087 -0.26757 -0.26593 -0.27778 0.02439 -0.15085 0.039818 0.070048 0.18779 0.010023 0.0085045 -0.054437 -0.036337 0.01875 -0.077312 0.011542 0.03162 0.16638 0.11454 -0.09596 -0.0082405 -0.11729 0.0077143 -0.053395 0.31647 -0.26121 -0.04439 0.134 -0.068621 -0.019247 0.059768 -0.29726].
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 [55.51674 36.71561 23.21483 23.47983 21.72072 7.353667 30.66791 14.55072 27.63734 22.72834 7.665022 34.24908 17.39196 7.526833 22.09726 11.43412 7.271227 7.230689 24.89082 26.76036 22.46623 8.102713 36.17049 8.634118 52.45642 130.714 56.89458 15.57832 351.6159 13.09881 14.62879 33.19448 45.91858 55.60729 40.83357 21.49228 20.70577 4.502118 5.814687 23.41522 11.73887 31.35583 31.04241 14.73598 15.45444 14.97954 19.30428 30.54933 33.50879 99.3981 12.4164 25.48615 28.13499 30.48943 128.8047 38.21456 16.80132].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.395 1.0741 0.22447 0.93058 -0.46648 0.087357 1.8124 0.47596 2.3438 0.63415 0.13822 2.2351 0.26249 0.69676 2.9278 -1.7919 0.083046 -0.28999 3.3975 2.2479 1.103 0.11408 0.73267 1.5686 4.7242 6.1055 0.53203 0.51419 4.0848 0.42256 -0.035014 3.4857 3.873 4.2137 1.9088 1.1236 1.088 0.29359 1.7399 2.4144 0.35215 0.98111 1.269 0.19557 1.9647 0.31496 1.2159 2.3949 1.864 3.2765 0.056617 2.0647 1.856 0.25604 3.9189 0.87662 1.2327].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.048693 -0.35747 1.0123 0.19063 0.7101 -0.0095041 0.11781 -0.098787 -0.085659 -0.23947 -0.026171 -0.050643 0.046223 -0.11533 -0.092727 0.067599 -0.18192 -0.079193 0.10597 0.14456 0.27432 0.071558 0.17922 0.13573 -0.032252 0.14964 -0.20035 -0.056575 0.40293 -0.0060278 0.17311 0.39982 1.3022 0.14873 0.21978 0.83572 0.011433 -0.05838 0.012172 -0.04826 -0.061054 0.032824 0.084286 -0.029159 -0.007967 -0.059157 0.38322 -0.25199 0.2061 -0.0034596 -0.12087 -0.61933 0.064281 -0.19791 1.8215 0.40535 0.031708].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.068045 -0.51632 0.1539 -0.20299 -0.1756 0.012858 -0.41098 0.10224 -0.092035 0.13274 0.021225 -0.16598 0.070145 1.2619 -0.19993 0.033955 0.011764 -0.077805 0.17032 0.041558 -0.0024851 0.097971 1.0784 0.15669 -0.13678 0.087008 0.28465 -0.19199 0.94698 -0.011328 0.11852 0.055508 0.053685 -0.23729 0.015223 -0.23176 -0.029786 0.019211 0.010476 -0.010077 0.30358 0.065894 0.48817 0.088078 -0.39982 -0.44909 0.042001 0.068352 -0.034908 -0.0019708 0.11211 0.19264 0.22204 0.089243 -0.12556 0.017683 -0.040139].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.068107 0.36347 -0.28363 0.0041208 0.11338 0.064006 0.34415 0.0073735 0.058744 -0.0041231 -0.072486 -0.08115 0.078967 -0.11378 -0.048855 -0.073323 -0.12577 0.035747 -0.34386 -0.06098 0.0058401 -0.012615 -0.47595 0.31795 0.14872 0.048443 0.38274 0.14164 0.11958 -0.56545 0.050825 0.0036645 -0.48766 0.33243 -0.13113 0.22126 0.00081466 -0.029707 -0.023139 0.10609 -0.58058 0.17416 -0.18774 -0.34599 0.093458 -0.13407 -0.062662 -0.011649 0.064828 -0.094805 0.16696 -0.10852 0.18525 -0.14558 0.22699 -0.024528 0.28654].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.01372 -0.16393 0.26894 0.14509 0.061991 -0.18454 0.29374 -0.10615 0.068494 -0.024699 0.21704 0.22724 -0.042566 -0.032113 0.25185 0.10925 0.027681 0.054438 0.322 -0.004776 -0.049891 -0.11377 -0.86086 -0.061558 -0.039475 -0.1366 -0.75867 0.045826 0.20151 0.12987 0.24342 -0.035358 0.49656 -0.034386 -0.42717 0.016868 -0.11333 0.043633 -0.0019754 0.0020599 -0.088579 -0.05304 -0.07513 0.02075 0.36338 0.59783 0.050651 -0.0027849 -0.1409 0.092674 0.047554 0.02705 -0.62196 -0.24293 -9.5029e-05 0.013933 -0.099068].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.01611 -0.24533 0.19852 -0.1533 0.11329 0.044421 -0.79815 0.023152 -0.01796 -0.016339 -0.14903 -0.013431 -0.030579 0.031287 -0.038826 -0.010527 0.056342 0.01679 -0.15037 0.064696 0.031538 0.099314 0.095405 0.055944 0.02814 -0.53523 0.13456 -0.054712 -0.077564 -0.12136 -0.097449 -0.00035627 -0.015335 -0.15725 0.23818 -0.028319 0.11391 -0.0062673 0.023873 -0.057309 0.080229 0.16637 0.060672 -0.5023 0.055768 -0.0051996 0.004573 0.015899 0.144 -0.13573 -0.23344 0.059458 0.77832 0.26703 -0.0028193 0.010169 0.0085922].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.67895 0.30272 -0.11214 0.20801 -0.02885 0.036729 0.039495 -0.010645 -0.019875 -0.10866 0.020317 -0.39623 0.008313 -0.017989 0.040742 -0.094967 0.037162 -0.042901 0.22034 -0.18294 -0.29988 -0.14566 -0.018101 0.049263 -0.16869 -0.016269 0.0037829 -0.11882 0.077037 -0.037646 -0.35718 0.029721 0.065523 0.21918 0.096213 0.0089266 0.070664 -0.20722 0.0070073 0.038966 -0.43372 0.026433 0.29403 0.42482 -0.36294 -0.002605 0.0056709 0.003638 -0.091663 -0.90944 0.20893 0.031239 0.18968 -0.11326 -0.052681 -0.0070256 0.022013].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.34941 0.16392 -0.23063 0.006606 0.064341 0.0043575 -0.16572 -0.16547 -0.085598 -0.12483 -0.085518 0.41874 0.036304 -0.012433 -0.021479 0.1334 -0.028036 0.042579 0.033027 0.11042 0.23886 0.16953 0.02748 -0.12136 0.16232 -0.32637 -0.0093206 0.19197 -0.009558 0.053611 0.225 -0.023985 0.047127 -0.25794 -0.050228 -0.084282 -0.0043534 0.18928 -0.0062961 0.0067225 0.46081 -0.0022223 0.033418 0.15509 0.42838 -0.19745 -0.0056187 -0.0032441 0.0095062 -0.0045096 -0.38151 -0.011844 0.38237 -0.048506 -0.076557 -0.0006797 0.042403].
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 [-0.14359 -0.55457 0.03507 -0.044156 -0.63155 0.011991 -0.0025469 -0.047725 -0.05296 -0.029139 0.019982 0.024992 -0.17856 -0.13729 -0.17705 -0.099564 0.028065 0.17552 0.063235 -0.13213 0.094884 0.071952 0.10948 -0.059662 0.31718 0.023085 1.9847 -0.11326 -0.13875 0.25917 0.4774 0.39015 0.059022 -0.003075 -0.23709 -0.20755 -0.22721 0.099517 -0.20458 -0.36752 0.36633 0.58706 0.34098 0.18127 0.053444 -0.015953 0.32647 0.19716 0.7744 -0.25894 0.014997 0.080111 0.75413 -0.027876 0.22834 -0.0026938 -0.33564].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.64756 0.28529 0.099432 -0.067886 0.001727 -0.1457 0.032191 -0.15896 -0.0065473 0.024604 0.17111 -0.16181 0.21997 -0.16593 0.17763 0.0060193 -0.016134 -0.057236 -0.077801 0.13524 0.077956 0.018244 0.16649 -0.04563 0.076908 -0.035502 1.2807 -0.033745 0.081159 -0.042878 0.17103 0.007328 -0.22515 -0.11752 0.10207 0.36194 -0.0066641 0.060239 0.29675 0.16931 -0.11827 0.62616 0.026555 -0.013055 0.24917 -0.037684 0.055393 -0.56689 -0.037134 -0.9315 -0.00092462 -0.025273 0.078002 -0.10708 0.32583 -0.14939 0.033976].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [5.6201e-05 0.10427 0.016568 -1.1538 0.10216 0.056623 0.097661 -0.33445 0.096285 -0.15756 0.12623 0.057553 0.10156 0.43177 0.034303 -0.0086559 -0.22955 -0.19827 -0.32622 0.02614 0.076019 0.0051667 -0.47538 -0.52216 -0.35295 -0.41798 0.1928 -0.20391 -0.38064 0.10195 -0.42007 -0.055125 0.087616 -0.66602 -0.40759 -0.027294 -0.013127 -0.16766 0.0093348 -0.14575 0.057855 -0.041842 0.052431 -0.10353 0.23483 0.0051129 -0.04675 0.044134 0.070309 -0.15055 -0.15321 0.0055897 -0.22829 -0.18208 -0.14526 0.26917 0.082187].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.046954 -0.10074 -0.3605 -0.007212 -0.0065829 0.032765 -0.060597 0.15276 0.056932 -0.38398 -0.74693 0.040184 0.1008 -0.33829 0.58658 -0.54437 -0.17888 0.55452 0.37971 -0.071155 -0.061279 0.022858 -0.01717 -0.098656 -0.005076 -0.14546 -0.17877 -0.2434 0.089165 -0.31124 0.11153 0.037768 0.23739 0.31498 0.092446 -0.59826 0.034198 0.056651 0.011441 0.20377 0.20729 -0.20957 -0.23851 -0.14424 0.0029019 0.048342 -1.7195 -0.097167 -0.78242 0.015318 0.21839 0.26654 0.077203 -0.0024525 0.037373 -0.088744 0.024472].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.03938 0.032897 0.34806 -0.014002 -0.00076646 -0.02424 0.046791 0.23588 -0.21523 -0.35197 -0.098622 -0.010203 -0.0097664 0.79704 -0.65149 0.042736 -0.2147 -0.18051 -0.11048 -0.10969 0.024191 -0.034973 0.036594 0.062077 0.018967 0.26915 0.09926 0.39341 -0.17489 0.18718 -0.25786 -0.22069 0.03785 6.844e-05 -0.17196 -0.055874 -0.11051 -0.017605 -0.13342 -0.024159 -0.096805 -0.92623 0.41829 0.10639 -0.028531 -0.061591 -0.062876 0.083487 0.48461 0.015461 -0.20205 0.12325 0.02605 -0.021143 -0.061505 -0.35686 -0.030048].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.066174 -0.45917 -0.096751 0.010674 -0.0041622 0.028538 0.021291 0.1357 0.24765 0.26761 0.48571 0.0064212 -0.13336 0.028504 -0.10922 0.031921 0.34837 0.074098 0.072956 0.086246 -0.14474 0.011127 -0.0091718 -0.069026 -0.036765 -0.022083 0.0035529 -0.0072698 -0.51742 -0.28367 0.095943 0.11652 0.01146 -0.10783 0.17405 0.43706 0.10761 -0.011676 0.15154 0.25614 0.096552 -0.72088 -0.40116 -0.0073693 0.034331 0.074019 -0.01672 0.058852 -0.38261 0.0089316 0.18695 -0.3328 -0.51425 0.015338 -1.2638 0.15833 0.023341].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.16545 0.51377 0.097629 -0.041521 0.0050797 -0.0035082 0.0053126 -0.10625 0.020321 0.07263 -0.32248 -0.0069373 0.077339 -0.044958 0.75089 -0.063404 -0.0050774 0.12056 -0.28888 0.070207 0.15379 -0.04025 -0.14984 -0.048536 -0.0015651 -0.045779 0.12216 -0.55988 0.10853 0.31677 0.15968 -0.015679 -0.62302 -0.05033 -0.39659 -0.40071 -0.26355 0.024656 -0.090907 -0.20339 -0.043151 -0.40317 0.57433 -0.080832 0.0048382 -0.012757 0.082297 -0.040681 0.22492 -0.00091665 -0.49851 -0.13237 0.09502 0.0045281 0.066857 -0.081866 0.016286].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17666 0.12533 -0.15822 0.062559 -0.094436 -0.008161 -0.049019 0.05901 0.028545 0.51625 -0.38945 -0.0083175 -0.074202 0.056608 -0.37612 0.060106 -0.27992 -0.0084365 0.081379 -0.036959 -0.076402 0.066204 0.10393 0.11041 0.036081 -0.1128 0.018725 0.19827 -0.031088 0.27343 -0.19566 0.11611 0.41834 -0.050653 0.37493 0.42152 0.23996 0.0094307 0.099884 0.36658 0.053283 -0.22164 -0.24722 0.089601 -0.043498 -0.048975 -0.013276 -0.080972 0.1336 -0.020467 0.39896 -0.078062 -0.43728 0.0018862 0.036439 0.17052 -0.0035781].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.040335 -0.13105 0.141 -0.21964 0.093324 0.011579 0.044999 -0.11674 -0.44706 0.0031735 0.43827 0.015248 -0.21057 -0.25721 -0.2151 -0.065288 0.2892 -0.0096766 0.19332 0.048588 0.039848 -0.0036079 0.031404 -0.05247 -0.071434 -0.61519 -0.20038 0.13569 -0.040828 -0.49474 0.20823 -0.055 -0.026786 0.070834 -0.09294 -0.022293 -0.0075739 -0.021922 -0.051905 -0.19941 -0.1194 0.43655 0.25516 -0.022723 0.046754 0.013509 -0.056252 0.0094004 -0.027306 0.026421 -0.18475 0.44642 0.52598 -0.20621 -0.48801 0.15351 0.0043228].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.02786 0.032911 0.0071972 -0.053459 -0.009902 -0.015463 -0.01234 0.051568 0.34902 -0.40721 -0.011605 -0.28095 0.31016 -0.047094 0.36025 0.05836 0.084816 0.022011 -0.036499 -0.0072813 -0.13917 -0.0062267 0.021771 -0.0031089 -0.014735 0.28912 0.19614 0.18177 -0.1429 -0.15037 -0.029777 -0.42456 -0.16059 0.0082637 0.12066 -0.083022 -0.086547 0.021217 -0.022797 -0.39077 0.11143 -0.4388 -0.12697 0.072062 -0.0065457 0.042953 0.018794 0.11966 0.070008 -0.092178 0.21455 -0.11345 -0.15987 0.1134 0.43402 -0.17929 0.0029253].
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 [-0.099713 -0.2449 -0.23543 0.2461 0.010907 -0.28248 0.22475 -0.0651 -0.42385 0.63341 0.024602 0.62254 -0.15757 0.093363 0.12409 0.053819 0.12835 0.47427 -0.03941 -0.059785 -0.10126 -0.095792 0.20646 0.30639 -0.027288 -0.22622 0.72365 0.034753 0.6945 -0.10025 0.00064821 0.077671 0.18779 0.085905 0.19036 0.024668 0.11125 -0.0051241 0.032766 0.0033311 0.0069744 0.060134 0.029405 0.020373 -0.089185 -0.094582 -0.050251 0.054727 -0.0019354 0.27986 0.27421 -0.081271 -0.035449 -0.12317 0.13787 -0.12413 0.00962].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.082529 -0.8399 -0.58519 -0.059424 0.42255 0.040928 0.025731 -0.0061832 -0.017323 0.020213 -0.1904 0.083956 -0.013472 -0.17402 0.10436 0.048568 -0.21476 0.015381 0.5605 0.026583 0.12077 -0.44171 -0.51067 0.04398 0.66905 -0.090712 0.6576 -0.25202 0.61698 -0.021599 0.053227 -0.0082749 0.14514 0.33644 -0.028384 -0.3732 -0.024787 -0.20357 -0.01328 -0.065941 -0.020611 -0.28167 -0.021591 -0.4683 0.10189 -0.71143 0.080338 -0.16841 -0.020175 -0.1739 -0.06094 0.29492 0.37613 0.19032 -0.069123 0.07607 0.0099981].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.18326 0.053194 0.11518 -0.033768 0.04514 -0.28602 0.67141 -0.044639 0.032858 -0.01624 0.00054546 0.081061 -0.0052829 -0.019794 0.020681 -0.053646 -0.054162 -0.44163 0.019562 -0.013541 -0.19169 -0.0094129 0.082126 0.1449 -0.079911 -0.0053566 0.24484 -0.058479 -0.079976 -0.061188 0.32119 -0.14531 -0.18842 -0.040012 -0.23676 0.26763 -0.14233 0.011018 -0.071871 0.28422 0.024846 0.11478 0.10092 0.0080001 -0.25415 0.064172 -0.14589 0.18824 0.11886 0.090653 -0.0127 0.25462 0.21191 -0.087213 0.15544 0.087063 -0.090202].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0066206 0.12588 0.22835 -0.081311 -0.024377 -0.043459 -0.24884 -0.018211 0.06737 0.030504 0.11812 0.037387 -0.067284 -0.12553 -0.23945 0.014866 0.011631 -0.061276 -0.060216 0.23549 -0.091297 -0.17366 -0.0030823 0.031886 0.27727 -0.19751 0.10278 -0.19205 0.62834 0.3546 -0.027211 -0.1819 0.087562 0.099432 0.59173 0.055411 0.030999 0.011937 -0.0058723 0.024864 -0.083398 -0.010515 -0.14943 0.15982 0.18556 -0.44849 -1.2582 -0.0071131 -0.096626 -0.12407 -0.28779 0.17765 0.017932 -0.048086 -0.10076 0.00013899 -0.0075838].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.17364 0.029986 0.1932 0.04507 -0.10208 -0.085014 0.23702 -0.012183 -0.1842 0.00026535 0.064345 -0.2787 0.20972 0.040863 0.1704 -0.026209 -0.036062 -0.10144 0.091274 -0.072986 -0.80143 0.19782 -0.025727 0.46988 -0.027374 0.67812 -0.0045576 0.26283 -1.0113 -0.16965 0.35465 -0.18416 -0.0014356 -0.28388 -0.027317 -0.21494 0.0056159 -0.087045 0.0014085 -0.0078075 -0.026282 0.025323 0.16842 -0.29272 -0.27564 0.54618 0.0090922 -0.41716 0.08209 -0.0083167 0.76639 -1.2393 -0.061849 -0.16299 0.02611 -0.069935 -0.0039314].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17711 0.043255 -0.021419 -0.1297 0.057594 0.013389 -0.24414 0.014792 0.13481 -0.024122 -0.25601 0.26065 -0.3459 0.0068304 -0.5401 -0.0095193 -0.0010889 0.2148 -0.075924 0.012557 -0.56488 -0.19524 0.022651 -0.14689 -0.18562 0.20028 0.017474 -0.10215 0.1168 -0.47106 -0.056878 -0.072274 0.0029838 0.27482 0.38958 0.079368 0.011695 0.038735 -0.037943 0.0090018 -0.019729 -0.0064264 -0.017319 -0.22308 0.30118 -0.95418 0.002919 0.3654 0.046684 -0.074758 0.12212 0.43294 0.012369 0.25175 -0.040128 0.097072 -0.015144].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.053943 -0.32891 -0.27693 0.21483 0.0070124 0.059836 0.085706 -0.014144 0.04295 0.023986 0.3488 -0.016172 0.17672 -0.028891 0.86179 0.017561 0.031012 -0.019963 0.091919 0.072921 0.11913 0.15927 -0.10082 -0.32307 -0.028436 -0.53918 0.018994 0.018134 -0.096506 0.36559 -0.24485 0.5201 -0.073188 -0.23369 0.0092497 -0.22298 -0.1895 0.033136 0.037831 -0.0081739 -0.11763 -0.24 -0.018122 0.69228 -0.50617 0.061425 -0.027779 -0.15804 -0.082409 0.10543 -0.073572 -0.022284 0.049131 -0.012852 -0.6109 0.11084 0.019822].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.053206 -0.027447 0.18809 -0.010367 0.032455 -0.35116 0.17034 -0.030287 0.0035523 0.00022594 -0.075403 -0.032722 0.18943 0.045742 -0.32798 -0.16654 -0.057828 -0.0032206 -0.009715 -0.28066 -0.22188 -0.057689 -0.027246 -0.33954 0.17331 0.1721 -0.015737 -0.41891 -0.4677 0.46194 0.22998 0.28722 0.076234 -0.20433 -0.14961 0.41485 0.1231 -0.051126 0.0041094 -0.13305 0.18758 0.24911 0.030114 -0.036942 -0.17312 -0.092244 -0.0052663 0.11191 0.033749 -0.040909 0.046833 -0.24671 -0.025708 -0.019003 0.19814 0.041689 0.012801].
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 [-0.28191 -0.34656 -0.089508 0.054394 0.34483 0.036143 -0.74627 0.014871 -0.74066 -0.0038188 -0.22594 -0.19285 0.055059 0.22 -0.031938 0.027772 -0.054395 0.60281 -0.56034 0.048529 -0.09677 0.0045244 0.9215 -0.46628 0.14003 0.54929 0.55381 -0.39818 0.39793 -0.065155 -0.058449 0.10872 -0.67751 -0.024608 0.038139 0.001934 0.22251 -0.030327 0.039367 -1.0904 0.1114 0.021882 0.080195 0.020083 0.0048472 -0.02412 -0.26819 -0.0098607 0.043749 -0.36632 0.16429 -0.0023185 -0.010619 -0.13263 -0.0023155 0.37611 -0.064487].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.009879 -0.15574 0.11415 -0.039725 0.095854 0.05696 -0.042836 0.20822 -0.13822 -0.38006 -0.1682 -0.15944 -0.39136 0.0048093 0.0051949 0.034859 -0.067067 1.2215 0.049567 -0.036575 -0.079912 -0.031173 0.09257 0.25566 0.026956 0.096425 0.62487 -0.010609 0.18158 -0.066069 -0.052706 0.03905 0.31049 0.40734 -0.11098 -0.18683 0.063121 -0.11432 0.063013 0.07625 0.10011 -0.11741 -0.45972 0.20478 0.1023 -0.10583 0.13971 -0.1624 -0.0036922 -0.23135 -0.0063342 -0.21711 0.13782 0.048266 0.16234 -0.034446 -0.081576].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.071796 -0.012305 0.014605 -0.018157 0.46207 -0.078605 0.061674 0.076777 0.053532 -0.024614 -0.028998 0.075734 0.2271 0.019217 -0.065152 -0.1528 0.30985 -0.0099787 -0.053145 0.054205 -0.33557 0.13964 0.10803 -0.25421 0.14694 0.011443 0.28851 -0.044837 -0.082683 -0.16789 -0.059041 -0.08846 -0.012155 0.09845 -0.028377 -0.65507 0.30476 -0.39391 0.1111 -0.020982 -0.011682 0.036318 0.18867 -0.047533 0.076872 -0.06705 -0.19681 -0.103 0.0095879 0.019327 -0.12394 -0.54365 0.48212 0.041231 0.053863 0.048871 0.0035941].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.077733 -0.1796 -0.21859 -0.17461 0.051331 0.012967 -0.13036 0.038306 0.44693 -0.005425 -0.15244 -0.0066908 -0.015451 -0.011212 -0.044278 0.066788 -1.683 0.2934 -0.1669 0.11899 -0.29302 -0.058249 0.1329 0.055153 -0.086304 -0.29639 -0.010003 0.039262 -0.86073 -0.074841 -0.053612 0.077488 0.091411 -0.0065758 -0.13089 -0.11063 -0.019503 0.012049 0.028278 0.019022 -0.027024 -0.0052829 0.017108 0.0084766 -0.051051 0.27783 -0.3359 -0.32177 -0.074394 0.11478 0.23768 0.10682 0.040179 -0.086659 -0.22432 -1.0807 0.0095827].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.49142 0.012656 0.20083 0.29158 -0.039238 -0.11734 0.097009 0.025548 -0.4235 0.098574 0.085345 -0.049695 -0.0093968 -0.23651 -0.39133 -0.15135 0.36013 -0.18743 -0.034034 -0.12555 0.24849 0.2446 -0.04537 0.021226 -0.085652 0.26276 0.021208 -0.042583 0.20687 -0.022157 0.065736 0.12235 -0.00083 0.0010201 0.12782 0.049634 -0.089573 -0.0050913 0.051481 -0.046427 -0.00026206 -0.12883 -0.062098 0.0968 0.068161 -0.078021 0.27179 0.37644 0.080388 0.002169 -0.32072 0.075814 -0.058196 0.11044 0.0085782 0.0074153 0.031969].
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 [0.099979 -0.13749 0.15244 -0.23669 0.24392 0.016455 -0.030417 -0.05147 -0.028986 -0.011216 0.06033 0.32718 -0.3745 -0.5858 -0.13966 -0.0027754 0.1386 0.027868 0.40818 0.013016 -0.008197 -0.02114 -0.023963 -0.11751 0.22084 0.28218 1.5927 0.23426 0.029651 -0.13849 0.84054 0.12457 -0.14867 0.11242 0.46452 0.046088 0.025924 0.085199 0.075798 0.22784 -0.054615 -0.07471 -0.21293 -0.043563 0.13297 -0.27791 -0.59341 0.3729 0.17065 -0.22494 -0.0070282 0.098982 -0.23415 0.079299 -0.29826 -0.056699 0.40374].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.019566 -0.082909 0.12758 -0.0068985 -0.0061696 -0.0428 -0.21981 -0.35286 -0.92623 0.041741 -0.34999 0.45049 -0.72 0.015939 -0.27341 -0.3755 -0.48039 -0.031202 0.46563 -0.10046 -0.26271 0.024657 0.1146 0.011427 0.036384 -0.57103 -0.26862 0.18364 0.61562 0.91732 -0.058771 -0.25074 0.010815 -0.12521 -0.30318 0.00131 0.099774 -0.059815 -0.013982 -0.25705 -0.36899 0.00655 0.20937 0.11362 0.11038 0.099636 -0.026368 -0.25649 -0.48589 0.021845 -0.21399 0.3924 0.31614 0.018637 -0.18976 0.01576 -0.077742].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.13243 -0.088163 -0.37611 0.029911 0.15743 0.13868 -0.17218 -0.037012 -0.61372 -0.04879 -0.032441 -0.012759 0.27994 0.0294 0.03221 0.022056 0.11193 -0.10624 0.072335 0.1359 -0.058479 -0.28168 -0.23934 -0.73464 -0.043138 0.038044 0.0070994 0.74461 1.3562 0.4819 -0.35046 -0.021646 0.22214 -0.0098693 -0.13019 -0.077076 0.12464 -0.13617 0.011814 0.098338 0.1246 -0.036735 0.36508 0.37241 0.024261 -0.10932 0.045992 0.069562 0.077207 -0.12859 0.071167 0.029742 0.1993 -0.1516 0.067801 0.062495 0.010403].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.15977 -0.07052 -0.29534 0.015564 0.16735 0.31802 -0.0198 -0.0029634 0.25859 -0.30414 0.048897 -0.081339 -0.60558 0.82521 0.033578 0.076443 -0.096807 0.04638 0.375 0.53187 0.15068 0.17261 0.56661 -0.143 0.00089878 0.091906 -0.058471 0.078823 -0.041993 0.0062323 0.019373 0.079595 0.058347 0.015924 0.11892 -0.13349 0.068164 0.066177 0.19256 -0.050634 0.040807 -0.31647 0.064411 -0.031344 -0.06693 0.073354 0.061872 -0.0085558 -0.043411 -0.12232 0.19582 -0.051388 0.16089 -0.11 0.057151 -0.1487 -0.11329].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.072273 0.12373 0.19494 0.0044076 -0.047587 -0.00099182 -0.64624 -0.011369 -0.076202 0.33833 0.0057275 -0.15316 -0.031169 -0.079519 -0.0046705 0.00078062 0.29056 -0.015857 0.11187 0.36514 -0.0044741 -0.34405 0.11994 0.11316 -0.42205 0.16518 0.087771 -0.11363 -0.006082 0.029152 -0.43785 -0.092775 -0.10944 -7.5628e-05 0.010574 0.13087 0.062748 -0.0086424 -0.29431 -0.0047209 -0.28768 0.31318 -0.063898 0.036528 0.093441 -0.24676 -0.46312 -0.016859 -0.007328 0.0097129 0.14597 0.13159 0.15267 0.1169 -0.042045 -0.24116 -0.14604].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.010964 -0.72668 0.17227 -0.1491 -0.061232 -0.26683 0.011139 -0.013696 0.14094 -0.033258 0.0024588 0.19965 0.023093 -0.087879 -0.038162 0.012274 -0.10235 0.014296 0.13418 -0.59694 -0.051801 0.36446 -0.31747 -0.036144 0.24578 -0.10545 0.034501 0.15894 0.01351 -0.051434 0.4048 0.047655 0.053576 -0.10043 0.045452 -0.039558 -0.045088 0.010069 -0.026618 -0.012732 -0.0031058 -0.10292 0.048257 -0.092885 -0.19532 -0.068593 0.48537 0.086398 -0.044776 0.0053095 -0.36443 0.20252 -0.45402 -0.05569 -0.17804 0.23187 -0.93193].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.057107 -0.30751 0.0004487 0.16794 -0.32465 -0.030028 0.012449 -0.1952 -0.71798 -0.044285 -0.087005 0.0064964 0.015888 -0.043501 -0.11332 -0.012502 0.015208 -0.068229 -0.7681 -0.063533 0.029509 -0.19176 -0.30747 -0.070421 0.19251 -0.14496 -0.065895 -0.057232 -0.034498 0.014488 -2.3913e-06 0.0191 0.0036466 0.10071 -0.24834 -0.076868 0.021556 0.0070545 0.068354 -0.087193 -0.19476 -1.6026 -0.043245 0.07968 0.19185 0.021306 -0.16581 -0.029599 0.07887 -0.0027183 0.36149 -0.14493 0.35416 0.050207 0.25533 0.077824 0.9486].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.081772 -0.28713 -0.0035236 -0.31587 0.39957 0.082298 -0.017319 0.030539 -0.037175 -0.054516 0.088987 -0.1582 0.0086516 0.017192 0.14322 0.017623 -0.013494 0.04707 0.28989 0.069775 -0.035956 0.14006 0.48833 -0.029085 -5.0341e-05 0.29947 0.041346 -0.0090701 -0.3289 -0.015517 -0.4488 0.0044545 0.047849 -0.044294 0.20033 0.091167 0.030355 -0.0086012 0.14506 0.089796 0.33048 -0.097816 0.061694 -0.033569 -0.076527 0.66259 0.13477 -0.028259 -0.010139 -0.0050816 -0.28394 -0.10863 0.10675 -0.15512 0.021063 0.023845 -0.37911].
# Iteration 9:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.030309 0.076069 0.01842 0.31162 -0.021926 0.12676 -0.17723 0.17844 0.034022 0.076286 -0.012697 0.026694 0.0013619 -0.26542 -0.0067671 -0.078199 -0.46548 0.0016118 -0.017582 -0.040604 0.058923 0.041569 -0.17693 0.078734 -0.073343 0.0013991 -0.10732 0.066994 0.34028 0.0016447 0.16341 0.012949 -0.40941 0.06214 0.0060362 -0.065336 -0.03912 0.0043721 -0.01709 0.02817 -0.17551 0.11391 -0.0042535 0.054834 -0.042913 0.15573 0.15935 0.086266 0.009902 -0.2185 -0.45158 -0.040593 -0.16908 0.17147 -0.32762 -0.19188 0.29402].
# 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/R44_d18O_stack(1).
-------------------------------------------------------------------------------------------
Parallel pool using the 'Processes' profile is shutting down.
Time elapsed = 56160 s