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R26.log
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MATLAB is selecting SOFTWARE OPENGL rendering.
OMP: Warning #181: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2022 The MathWorks, Inc.
R2022a (9.12.0.1884302) 64-bit (glnxa64)
February 16, 2022
To get started, type doc.
For product information, visit www.mathworks.com.
Starting parallel pool (parpool) using the 'local' profile ...
Connected to the parallel pool (number of workers: 36).
Number of workers: 36
-------------------------------------------------------------------------------------------
## BIGMACS: Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals
-------------------------------------------------------------------------------------------
## Stack construction algorithm is now running...
# Initializing...
Data are loaded successfully.
Initializing the age samples...
Done.
# Stacking algorithm is now running...
# Iteration 1:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [5.891005 1.18457 25.00047 12.21294 5.794847 0.4432976 3.423677 0.3553814 9.651895 4.289492 7.12942 1.729787 6.149717 1.091285 5.998266 3.044526 3.768653 1.145794 1.909767 2.120279 0.9801645 9.374234 27.65389 4.317998 4.441784 0.8922812 1.567478 0.3403415 1.683322 1.443854 11.22206 52.34386 7.298691 0.2040458 0.02534349 5.626881 5.644178 5.26304 4.845258 11.15721 5.420548 2.916842 0.4298892 0.8881224 17.12122 1.078929 2.387125 5.723447 3.650808 6.962777 13.19123 11.20656 1.180948 5.331428 8.278102 16.97961 20.4046 180.0223 2.822117 7.750927 0.2710518 8.728091 5.848015 4.010088 6.796781 2.473206 4.291895 2.549386 2.634176 1.329413 116.0796 3.870644].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.29885 0.29824 4.1955 0.098298 1.3033 -0.074046 0.30612 -0.098656 0.53362 0.068311 0.98803 0.36419 0.19048 0.13217 0.037962 0.83635 0.12578 -0.20898 0.27062 0.021885 -0.077934 0.25324 1.291 -0.0096342 -0.59224 -0.095607 0.0035424 0.15754 0.15755 0.018604 0.35728 3.6307 -0.41416 -0.044683 -0.016362 -0.25098 0.077243 0.051676 0.18925 1.1107 0.2485 0.088296 0.10253 -0.08573 1.2858 0.38318 0.2877 0.58491 -0.24006 -0.12166 0.091276 0.50236 -0.080489 0.27604 0.041537 1.513 1.0605 0.0066097 0.30169 0.51091 0.084365 0.14287 0.25312 -0.16126 0.073902 0.43282 0.014363 0.28702 0.2475 -0.013859 7.3048 0.24473].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.034573 -0.28779 0.20432 0.37059 0.12611 0.169 -0.074964 0.022176 0.091522 0.12467 0.035133 -0.007531 0.13692 -0.039369 0.10302 0.32402 0.013443 -0.059255 0.1176 -0.073253 0.00607 0.36332 -0.19318 0.040393 0.098656 -0.014759 0.0020277 0.018599 0.18752 -0.0040876 0.6016 1.3954 -0.044897 0.062312 0.059874 -0.038295 0.0043138 -0.059818 -0.0073064 -0.037294 0.022234 0.08827 0.09108 0.071959 0.27878 0.07764 -0.013151 -0.040071 0.26284 -0.10619 0.18766 0.3196 -0.011911 -0.028944 0.25787 0.33403 1.3889 -0.011497 0.13998 -0.22166 -0.2879 -0.016029 -0.12482 0.0031457 -0.18234 -0.014401 0.15824 0.31992 0.028599 -0.0068743 0.33657 -0.0026529].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.048102 -0.018269 0.14591 0.1962 0.17869 -0.03656 -0.41136 0.11099 0.0012999 0.0911 0.068938 0.075894 -0.020407 0.013493 0.0049246 -0.30497 -0.036039 0.13251 0.081174 0.0067939 -0.007696 0.0037548 0.10633 -0.0014294 0.040984 -0.010992 -0.010672 0.056194 0.035017 0.071721 -0.069934 -0.094213 0.024057 0.030533 0.0079529 -0.025209 -0.38317 0.56316 0.033682 -0.00071911 -0.41273 0.066482 -0.037499 -0.0046826 -0.020927 -0.085114 0.15774 -0.08954 0.022972 -0.017826 -0.0050476 0.012891 0.02135 -0.31978 -0.069891 -0.052484 0.31513 -0.016106 0.023995 0.069524 -0.0058866 -0.28107 -0.047879 -0.031546 0.030639 0.043852 -0.12619 -0.015561 0.030481 0.024779 0.11321 -0.027689].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.059717 0.10223 0.0064807 -0.071346 -0.071871 0.028121 0.57167 -0.097156 0.0025089 -0.065367 -0.21299 -0.1291 -0.31782 -0.025382 -0.0083261 0.67079 -0.02212 -0.084738 -0.010223 0.00020998 -0.0066142 -0.20277 -0.15684 0.0012474 0.22501 -0.038024 -0.21132 -0.053145 -0.0027289 0.041727 0.082255 0.040716 -0.17131 -0.047141 -0.0027469 0.002086 0.25038 -0.12288 -0.088403 -0.028166 0.18849 0.11068 0.0092209 0.022574 -0.16099 -0.025948 -0.0036798 -0.0069796 -0.00061533 -0.009669 -0.00022091 -0.051944 -0.003452 0.2244 -0.047143 0.091613 -0.48704 0.016174 -0.28025 -0.11419 -0.0061074 0.25336 0.050781 0.035136 -0.08243 0.078279 0.090844 0.073778 -0.00010566 0.087067 -0.015192 0.0094898].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.027873 0.014535 -0.082708 0.012885 -0.19961 -0.008234 -0.22401 0.11581 -0.10171 0.072943 0.20611 0.16854 0.2859 -0.023427 0.011831 0.012252 -0.026124 -0.28092 -0.0088477 0.012238 -0.0010758 0.21579 0.25338 -0.011445 -0.093224 0.030345 0.20296 0.044561 -0.042177 -0.044925 -0.042576 0.037054 0.094569 0.041277 0.0025869 0.051223 -0.11254 0.010545 0.056677 -0.42078 0.084698 -0.27357 -0.019802 -0.017011 0.14261 0.15033 -0.022337 0.040136 -0.014022 -0.003504 -0.011438 -0.1179 -0.15125 -0.034205 0.12649 0.00039312 0.16342 -0.048788 0.21108 -0.11144 0.010011 0.015963 0.076599 0.015579 0.20753 -0.063597 0.011182 -0.081165 -0.0056154 -0.24372 -0.048898 0.0089751].
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 [2.62552 0.976911 13.9042 4.25584 9.77622 1.95971 2.18644 4.25203 9.21767 4.07842 2.9899 3.02328 4.72018 4.14155 7.04229 4.46138 15.9899 2.38643 25.1966 2.40288 2.5392 0.355782 61.3441 1.6411 4.95477 7.52 4.04663 0.343204 2.59245 2.47233 4.3355 4.83505 5.33319 4.23163 1.88586 0.725392 6.95796 5.65669 5.43936 5.51995 6.5645 2.14283 1.58073 0.0731715 7.25923 10.6739 5.97695 5.15317 6.23684 -0.466123 29.9076 37.1778 6.31364 15.724 11.6896 11.3158 8.23456 20.7141 12.1822 1.19314 3.25181 14.5772 4.74407 8.34633 2.28295 0.00523985 16.416 5.28564 4.02683 0.846564 62.4771 3.73911].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.084565 -0.16587 3.1184 -0.13751 0.65544 1.0368 0.42296 1.0866 1.2647 0.090782 0.15755 0.77981 0.10673 0.16183 1.1922 0.52612 1.4294 0.86463 2.3563 0.6599 0.1742 0.68444 2.8125 -0.04195 3.0155 0.03549 0.12853 0.16491 0.046081 0.0091391 0.45133 -0.27768 0.46561 0.4335 0.66053 0.30717 0.15045 -0.50106 0.96471 0.27363 1.8944 -0.085379 0.29515 -0.18764 -0.26544 0.68961 -0.040631 0.59422 -0.4814 -0.075877 2.2515 0.66369 0.99783 0.6924 0.93912 1.743 1.1738 0.0092429 -0.35745 -1.0459 -0.23642 -0.11359 0.10167 -0.20336 0.71019 -0.29428 -0.34341 0.69658 0.10232 -0.078681 4.1004 -0.1053].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13215 -0.079028 0.056127 -0.04429 0.44885 0.58004 0.70121 -0.18969 0.090884 -0.23026 -0.91056 -0.52273 0.0022359 0.46597 -0.039339 -0.02814 0.34283 0.33492 -0.10637 0.0066559 -0.04278 -0.80528 0.35317 0.041098 -0.91736 0.10382 -0.047531 -0.20247 0.023035 0.011952 0.073341 1.5971 -0.10902 0.83131 -0.057574 0.029155 0.047424 0.15718 0.19129 0.070458 -0.1586 -0.06989 0.015818 0.39601 -0.025232 -0.12864 -0.22554 -0.2368 -0.16667 -0.043684 -0.00057151 0.052872 -0.086285 0.021785 0.2231 -0.020315 0.13119 -0.0045852 -0.3325 -0.010084 -1.7811 -0.067099 0.09121 -0.001636 0.075188 0.11887 0.25725 0.9367 0.040904 0.5922 -0.52261 0.044715].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.3372 -0.13793 0.036368 -0.0098669 -0.17619 -0.23538 0.024096 -0.086301 0.028348 0.10205 0.48489 0.3918 -0.31736 -0.027517 0.0057683 -0.070117 0.11631 -0.023984 -0.047263 -0.028386 0.014086 -0.067802 0.16462 -0.012238 -0.067979 -0.40492 0.17881 -0.6146 0.051777 -0.43627 -0.0066084 -0.12815 0.0005923 0.0058375 0.055347 -0.090458 0.23664 -0.052799 -0.034034 0.040299 0.013678 0.2541 -0.056695 -0.59655 0.055662 0.096643 0.13881 0.11467 0.12104 0.04291 0.15674 0.26506 0.035627 -0.13029 -0.45366 0.21075 0.067494 0.0033845 -0.15352 0.20334 0.001612 -0.038806 -0.11073 -0.028328 0.12284 -0.068026 -0.34364 0.16509 -0.067672 -0.040135 0.25725 -0.04544].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.1455 -0.11735 0.0061375 -0.11639 -0.022533 0.2427 -0.043797 0.17823 0.0027672 -0.14709 -0.94461 -0.13233 0.26598 0.13791 -0.13667 -0.008158 0.0072298 -0.027892 -0.28681 0.013846 -0.010534 0.077769 -0.0006115 0.0064642 -0.048303 0.46081 -0.10396 -0.018652 -0.043733 0.14862 -0.0018674 0.11096 -0.072118 0.061478 -0.013812 -0.33823 0.24184 0.11865 -0.19874 -0.14095 0.046768 0.025344 -0.061309 0.010482 -0.0028927 -0.13925 -0.011913 -0.20334 0.25906 -0.15242 -0.38375 0.0042088 0.12782 0.25955 0.42229 0.065695 -0.1755 0.015985 0.076214 -0.058064 -0.034164 0.0068744 -0.21722 0.018997 0.0082594 0.053725 0.27086 -0.0066791 -0.10278 -0.35672 0.0048133 0.019682].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.31771 0.10852 -0.0062622 0.15374 -0.014882 -0.14086 0.033876 0.072624 0.013528 0.040396 -0.017975 -0.3168 0.075077 -0.25746 0.14298 0.050958 -0.056117 -0.040934 0.057766 0.0070567 -0.0021192 -0.10782 0.01977 -0.0055804 0.013943 -0.10784 0.019695 0.22528 0.05948 0.34406 -0.019261 0.026171 0.035074 0.0055835 0.0016999 0.19028 0.067021 -0.27561 0.22348 0.25834 -0.059313 -0.12948 0.2074 -0.021504 0.0032657 -0.15671 0.024865 0.31529 -0.041513 0.085844 -0.23964 -0.16382 -0.62699 -0.0037857 0.049422 -0.13536 0.12267 -0.014874 -0.054422 -0.13907 -0.044819 0.049596 0.30631 -0.12255 0.0015659 -0.16889 -0.24051 -0.24641 0.12213 0.26244 -0.0040903 -0.080671].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.1731 0.10657 -0.045081 -0.034798 0.22711 -0.065017 -0.013406 0.013629 -0.13871 0.086078 -0.18845 0.31814 -0.042172 0.25948 -0.018128 0.051292 0.033718 -0.090782 -0.21187 -0.0020112 0.019465 0.07296 0.023879 -0.011598 -0.2665 -0.47568 -0.33169 -0.14607 -0.14897 -0.57557 0.011811 0.0087691 -0.015839 -0.011101 0.0043228 -0.15561 -0.44243 0.25346 -0.014172 -0.46511 -0.015868 0.043354 0.22397 0.01206 -0.0088399 0.11071 0.0047069 0.037932 -0.083034 -0.061774 0.46417 0.1725 -0.10327 0.0023688 -0.04112 0.010042 0.041686 -0.011804 -0.5124 0.046014 0.15491 -0.099042 -0.28165 0.078266 -0.071055 0.19988 0.27597 0.26337 -0.11482 -0.50571 -0.037976 0.073206].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11219 -0.057669 -0.17342 0.005746 -0.019301 0.075481 0.026116 -0.074673 0.051945 0.016682 0.17879 0.12729 -0.11412 -0.062181 -0.024052 -0.0061223 -0.10835 0.18135 0.15901 -0.043981 -0.011597 0.031448 -0.046149 0.015361 0.32011 0.57822 0.23436 0.10044 0.20939 0.019929 0.018121 -0.0040544 -0.13822 -0.084211 0.0075709 0.16131 0.34544 0.044938 -0.039189 0.37395 -0.061923 0.086953 -0.22108 -0.05732 0.013446 0.17615 -0.0042727 -0.049449 0.08714 0.16418 -0.13341 -0.028847 0.073437 -0.0096775 0.040114 0.089354 0.014689 0.02295 0.050191 0.15155 -0.010741 0.059462 0.27662 -0.058404 0.049229 0.030422 -0.11311 -0.12621 0.15811 0.11293 0.039098 0.013095].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11611 0.035604 0.20129 -0.019436 -0.085901 -0.30895 -0.0054143 0.048203 -0.12291 -0.039706 -0.12712 -0.25466 0.1288 -0.35049 -0.0036225 -0.02574 -0.0073774 -0.19403 0.25297 0.043245 0.00038842 -0.079853 0.021087 0.01004 -0.02679 0.11677 -0.13646 0.011351 -0.045871 0.0057841 -0.022064 0.00041984 0.12154 0.079795 -0.0089685 0.1575 -0.11937 -0.12637 -0.019773 -0.010335 0.11087 -0.29516 0.19198 -0.020317 -0.0020804 -0.089618 -0.0031361 0.042789 0.024011 -0.86369 0.29897 -0.023825 -0.082991 -0.12836 -0.0057339 0.040303 -0.013298 0.002506 -0.000719 -0.078028 -0.081654 -0.078309 -0.26612 0.093465 0.0199 -0.074962 0.12623 0.072791 -0.019979 -0.021433 0.0025483 0.0024952].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.18736 -0.25208 -0.00026628 0.029167 0.13972 0.1171 -0.0073558 -0.019759 0.074395 0.01969 -0.02645 -0.12905 0.01944 0.40805 0.047205 -0.018531 0.11444 0.037821 -0.091293 -0.031334 0.011065 -0.084439 0.037582 -0.028221 0.011525 -0.10572 -0.28063 -0.17567 0.0095498 0.005889 0.017976 -0.053725 0.010637 0.010392 0.013642 -0.0071757 -0.16401 -0.068348 -0.023781 0.1083 -0.0079397 0.14456 -0.15711 0.079402 0.0085942 0.094067 -0.029845 0.026171 0.028073 0.075533 -0.11248 0.034484 -0.11815 0.13026 0.0027769 -0.1137 -0.0036385 -0.0072199 -0.09579 0.0085771 -0.11676 0.097484 0.26246 0.011331 -0.030649 0.093022 -0.031021 -0.0082194 -0.041361 -0.011561 -0.091936 -0.031682].
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 [-0.0325948 -0.0532105 -0.035477 0.0742429 0.0389329 0.0106827 0.115981 -0.0223614 0.266087 -0.376385 -0.34793 0.324821 0.246791 0.0254718 -0.0221611 0.376684 -0.292342 0.29693 0.345799 0.161133 0.109691 -0.297505 0.400734 0.056228 0.0377653 0.253124 0.436158 -0.0112548 -0.0125865 -0.121628 -0.0145675 0.143079 0.132514 -0.0999847 -0.0402585 0.307448 0.151107 -0.169997 -0.311521 -0.0293841 -0.0347178 -0.137975 -0.324898 -0.540994 -0.0594739 0.0426636 0.128811 0.188356 0.0240499 -0.0367175 -1.27454 -0.161705 0.0244623 -0.111591 -0.142185 -0.0126014 -0.388158 13.102 0.0714007 -0.0505813 0.10825 0.0874153 0.107684 -0.464378 0.0337586 -0.0835282 0.0200313 -0.150733 0.0202296 0.290163 0.286047 0.112235].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.16155 -0.19121 -0.26511 -0.12371 0.52172 0.085749 0.22006 -0.072438 -0.082147 0.0099455 0.19045 -0.089352 0.1747 -0.027178 -0.10202 -0.0099077 0.03664 0.38322 -0.58936 -0.12168 -0.039655 0.024602 0.39855 -0.037018 0.79505 0.030387 0.093622 -0.031071 0.1279 -0.12717 -0.026033 0.026094 -0.16567 0.1786 0.028219 -0.34107 -0.15167 -0.087931 0.018458 0.027216 0.42748 -0.10934 0.062488 0.2451 0.016219 -0.11131 -0.23502 -0.085749 0.034703 -0.57444 0.062936 0.26845 0.29843 -0.027819 0.4283 -0.012867 -0.25529 -0.0033361 0.035238 -0.49007 0.048679 0.0020565 0.22373 0.4549 0.023748 0.044244 0.019416 -0.00093274 -0.3255 0.06996 0.12894 -0.16827].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13162 -0.18225 -0.0052647 -0.30701 -0.040212 -0.032413 0.062836 0.012596 -0.10086 0.025858 0.15959 -0.35786 -0.041171 0.070236 -0.018349 0.0048784 0.40449 0.10924 0.5506 0.10944 0.034059 -0.029371 0.67396 0.00032335 -0.33655 -0.021114 -0.040944 0.027759 -0.20458 -0.087128 -0.32859 -0.34112 -0.0035087 -0.072546 -0.31634 -0.02809 -0.079676 -0.033162 -0.021812 -0.020458 -0.024104 -0.30939 -0.054437 -0.19608 -0.039429 0.009299 -0.012833 0.054688 -0.080541 -0.043554 -0.011511 -0.38421 -0.014964 0.0083721 0.24162 -0.067228 0.042795 0.016173 0.073856 0.12298 -0.040741 0.09488 0.23358 0.020068 -0.052985 0.082696 -0.57891 -0.092307 0.034343 0.019529 -0.036524 0.084718].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.028935 -0.00245 0.0017059 0.14482 0.20437 -0.16782 -0.036598 -0.20712 -0.23355 0.11861 -0.20753 0.08988 0.41234 -0.055296 0.43889 0.19652 -0.022309 -0.10727 0.22558 0.015645 0.071949 0.043026 0.060915 0.0082876 0.31144 -0.063843 -0.21217 0.037413 0.071827 -0.26017 -0.033273 0.13361 0.02996 0.2354 -0.044524 -0.15386 0.24805 -0.45096 -0.0057382 -0.066633 0.012503 0.0016283 0.014955 0.020843 0.04422 -0.17942 0.15782 -0.20159 -0.13097 0.23249 -0.05525 -0.17559 -0.0658 -0.29608 -0.16298 0.175 -0.056227 0.00086745 0.29254 -0.06867 0.083315 0.0012716 0.29207 -0.01902 0.26802 -0.032774 0.0095207 -0.038541 0.19352 0.01091 0.12555 0.034013].
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 [0.123676 0.0231081 0.256089 -0.131579 -0.0300703 0.00196044 -0.0566725 0.0851336 0.465416 0.0685286 -0.0408673 -0.0164937 0.0397852 0.0524829 -0.0359962 -0.0854644 0.0208534 0.418999 0.386428 0.00865577 0.0538579 -0.244156 0.000617967 0.0898081 -0.321067 0.207692 0.03874 -0.0356682 -0.0454878 0.0474283 -0.057337 -0.236618 0.123102 -0.196219 0.29033 0.0352472 0.000876234 0.552776 -0.285069 0.147589 0.659423 0.0122505 0.0815145 -0.242074 -0.117309 0.124764 -0.0780029 0.0836655 0.0578912 0.486949 -0.176415 -0.09338 -0.0133382 -0.223848 0.135896 -0.142701 0.10876 13.435 -0.0699191 -0.124096 -0.0304512 0.0257489 0.373238 0.109011 0.0809278 0.182134 0.217072 0.1688 0.0378005 -0.338735 1.2701 0.0166824].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.073945 -0.057113 0.16846 0.18994 -0.17438 -0.090744 0.146 -0.020711 -0.13596 -0.0079803 -0.013882 0.23598 -0.0037758 0.020105 -0.078149 -0.010775 0.4009 -0.028908 0.025114 0.015231 0.0081875 -0.0088942 -0.28134 -0.001944 -0.10483 -0.013517 0.022968 0.01137 -0.046283 -0.053684 0.039689 0.050725 0.020181 0.0065293 0.02001 0.10394 0.018376 0.0094347 0.23067 0.059283 -0.015869 0.005176 -0.059749 -0.046413 0.0030681 -0.24786 0.020283 0.045298 -0.22776 0.20117 -0.024843 -0.28656 -0.2184 0.069485 -0.36268 -0.071306 0.070388 0.01581 0.69882 -0.014929 -0.060521 0.11247 -0.10888 0.057159 0.12103 0.30849 -0.080273 0.109 0.11884 -0.31646 0.12323 -0.026697].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.08674 0.11503 0.061177 -0.0092301 -0.76661 0.13288 -0.0038496 -0.13683 0.24613 -0.21655 -0.15686 0.34855 -0.087254 -0.0029048 0.074582 0.34343 0.16669 0.0014267 -0.22118 0.017361 0.15582 -0.052202 -0.053671 -0.029702 0.12035 0.030385 0.014984 0.0014328 -0.0074451 0.045045 0.092986 -0.60278 -0.026786 0.0040073 0.025679 -0.25454 -0.1787 -0.44654 -0.00077155 0.16006 -0.14357 -0.17118 -0.049294 -0.1097 -0.20647 0.43932 0.032643 0.086883 0.022351 -0.27697 -0.64917 -0.21432 0.11571 0.073158 0.34637 0.056637 0.01555 0.0088476 -0.045901 0.18551 0.15385 0.083046 0.018838 0.11079 -0.063012 -0.037587 -0.12504 0.0093595 -0.024369 -0.19622 0.1699 -0.011801].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0031185 0.28407 -0.27512 -0.30639 0.10792 0.072608 0.0030155 -0.068272 -0.061122 0.028513 0.10665 0.14076 -0.03851 0.26841 -0.18508 -0.15204 -0.32961 -0.024283 0.024894 0.097511 -0.036632 -0.0059745 -0.42783 0.073807 0.13124 -0.059482 0.009347 -0.058438 0.0054464 -0.063413 0.076436 0.11594 -0.26745 0.01293 0.028032 0.1028 0.015491 0.096819 -0.011681 0.27631 -0.11337 -0.039723 0.14354 -0.11936 -0.33294 0.037727 -0.13793 -0.083375 -0.26663 0.031231 0.29445 0.073524 0.038099 0.39522 -0.086831 0.057519 -0.012409 0.0071469 0.071792 0.055363 -0.10023 0.0074417 -0.086567 0.0098386 0.015645 -0.012064 0.31829 -0.22742 0.00080233 0.94383 0.27847 0.029112].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.025404 -0.057149 0.27382 0.12121 -0.0021525 0.00015391 -0.032012 0.1263 0.025457 -0.032692 -0.28985 -0.0094016 0.0038111 -0.26031 0.11591 0.070891 0.20483 0.017002 0.0067357 -0.074239 -0.029752 -0.041886 0.46628 -0.050362 -0.18098 0.064802 0.1583 0.15217 0.00083089 0.024951 -0.11098 0.017363 -0.088434 0.030686 -0.0095112 -0.068709 -0.060458 -0.091904 -0.081489 -0.20662 -0.43277 0.026632 -0.11876 0.033609 0.2514 -0.041206 0.063172 0.027314 0.16704 -0.17646 -0.032908 0.015218 -0.11324 0.053944 0.056686 -0.0083676 0.025019 0.0057443 0.081456 -0.04411 0.0937 0.031711 0.23595 -0.016775 -0.07684 0.015991 0.084699 0.15344 -0.2529 0.028322 -0.010271 -0.022201].
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 [0.207289 -0.362742 -0.103784 -0.248112 5.52677e-05 -0.192215 -0.336695 -0.936556 -0.00655136 -0.00876923 0.00552847 0.187329 -0.143033 -0.00749917 0.109799 -0.0466277 0.349208 0.0449432 0.0564006 -0.067262 -0.0605769 0.25769 -0.0178939 -0.0110696 0.0979199 0.0307034 -0.184273 -0.0886765 -0.0660697 -0.15571 -0.103443 0.0311629 0.0213178 -0.183864 0.0271565 0.00271026 -0.00712008 0.178186 0.573676 -0.140249 -0.632815 -0.0840327 -0.169756 0.187516 0.0334953 0.286 0.141106 -0.0526701 -0.0459044 0.384752 0.151047 0.0434816 -0.318121 0.0844916 0.0159729 -0.158972 0.314061 10.3527 0.402751 -0.0216889 -0.101345 0.219435 -0.0642788 -0.104919 0.0278557 -0.105612 0.00887545 0.0156517 0.0362775 -0.0584725 0.51967 -0.0737256].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.43537 -0.023263 0.063899 1.0199 -0.0074823 0.0022605 0.05713 -0.13598 -0.054711 -0.82646 0.044817 0.11507 -0.068206 0.14857 -0.044216 0.11361 0.17714 0.3918 -0.0252 0.058915 -0.015577 -0.32183 -0.077051 0.04513 -0.17192 -0.016704 -0.0076176 0.01391 -0.008925 -0.36584 0.51369 0.27436 0.015975 0.070445 -0.041156 -0.030514 -0.026989 0.21279 0.033083 -0.034223 0.48755 0.033882 0.0091001 0.12862 -0.084849 0.055749 0.045165 0.39357 0.15363 -0.054075 -0.0043988 0.85743 -0.11359 -0.20452 0.10904 0.30866 -0.45343 0.00087558 0.021179 0.18838 -0.023418 -0.096188 0.11879 -0.10533 -0.013075 0.013888 -0.12538 0.037701 0.07115 -0.12617 0.11635 -0.04279].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.21905 -0.0068126 0.054095 0.12072 0.13205 0.019671 -0.36132 0.00066626 0.051218 -0.030604 0.047981 0.06246 -0.04505 -0.17719 -0.22742 -0.10309 0.015909 -0.010906 0.098403 -0.0094487 -0.032026 -0.3742 0.17717 0.10021 0.051098 0.13268 -0.040125 -0.0076047 0.085161 0.0021295 -0.070228 0.095116 -0.03714 0.081118 -0.10181 0.04129 -0.57798 -0.0042942 -0.018924 0.27086 0.020175 -0.027804 0.037724 0.53759 0.38524 0.21511 -0.11893 -0.093792 0.020052 0.0039241 -0.053527 0.45161 -0.19566 -0.61745 -0.69419 0.10976 -0.015585 0.0014397 0.0087434 0.11375 -0.050342 -0.017104 -0.19491 0.076105 0.034254 0.072797 -0.0037567 -0.005919 0.15553 0.0015498 0.47285 -0.07199].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.053967 0.08585 -0.0059396 0.50758 -0.17423 -0.03723 -0.0054444 -0.094723 0.0050052 0.096538 -0.23857 -0.07001 0.055608 0.13626 -0.055239 0.076107 -0.3319 0.12559 -0.011234 0.083905 -0.16815 0.16578 0.064596 0.062181 0.02706 0.25561 0.045937 0.045316 -0.11117 0.0059909 0.067129 0.0029842 -0.033796 0.23487 -0.32832 0.20355 0.01479 -0.12671 0.066021 0.013484 0.090853 0.16269 0.024139 -0.5584 0.13326 -0.13865 0.029119 -0.019383 -0.13182 -0.34827 -0.028405 0.017304 -0.0068717 -0.10849 0.37127 -0.13055 -0.089326 -0.010281 0.050637 0.38196 -0.0062207 -0.038394 -0.036543 0.057893 -0.014352 0.00092664 0.29224 0.2985 -0.51606 0.077123 0.69201 0.12209].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.018367 -0.061068 -0.083245 -0.059922 0.077799 -0.15235 -0.042896 0.21691 -0.040968 -0.018341 0.037886 0.018574 -0.10261 0.040017 0.090831 -0.03875 0.48588 -0.50591 0.07813 -0.07181 -0.083703 -0.00039886 -0.018302 0.0059203 0.15268 0.33341 -0.033666 -0.01317 0.065143 -0.030486 -0.031364 -0.017054 0.01181 -0.86943 0.2073 -0.027878 -0.33077 0.19057 -0.025982 -0.0053766 -0.023368 -0.039906 -0.049938 -0.0042654 -0.27415 0.088141 -0.039832 -0.023631 0.0077372 0.36209 0.073278 -0.032912 -0.00026243 -0.48263 -0.050379 0.23404 0.04314 0.0038822 -0.016426 -0.23998 -0.063965 -0.010551 -0.11797 0.016147 0.036642 -0.065178 0.023916 -0.20874 -0.09232 -0.14569 0.66726 -0.0083173].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.065666 -0.38691 0.13005 -0.010113 -0.037518 0.07115 0.027579 -0.13849 -0.058582 -0.21728 0.21253 0.020888 0.050867 0.0011506 0.00063005 -0.21658 -0.17777 -0.0025903 0.070149 0.053457 0.18532 -0.058168 -0.33411 0.0081393 -0.43789 -0.19714 0.0078685 0.0043486 -0.046645 0.0072548 0.0037813 0.0244 -0.022984 -0.15232 0.12026 0.0029407 0.23531 -0.16833 -0.0081008 0.021149 0.019641 -0.51317 0.0029317 -0.074385 0.058502 0.010567 0.044876 -0.060148 -0.35459 0.067283 -0.19348 -0.016397 0.018542 0.090963 -0.86662 0.1126 0.027936 0.016379 0.042126 -0.083457 0.012144 0.012487 0.18472 0.0036608 -0.012653 0.039172 -0.021681 0.025118 0.079487 0.12462 0.12002 -0.24578].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-1.1893 0.12395 -0.015651 -0.051657 0.030152 0.0020162 -0.041408 0.12183 0.01732 -0.0085241 -0.11728 0.0066071 -0.083498 -0.055381 -0.035091 0.21641 0.047594 -0.010658 -0.11255 -0.0081524 0.018577 -0.04473 0.35272 0.043623 0.43503 0.23365 0.027323 0.010419 0.030817 0.006626 -0.003127 -0.03272 0.014088 0.28297 0.026451 -0.32924 0.12722 0.12097 0.026076 -0.0014751 -0.079492 -0.14028 0.010767 0.051956 0.61807 0.0096483 -0.01961 0.075322 0.42382 -0.095132 0.065217 -0.046498 -0.040775 0.2198 -0.56375 -0.19014 -0.0015295 -0.0046146 -0.063549 -0.069044 0.047222 0.032359 -0.041389 -0.00086546 0.016454 0.027477 -0.016056 -0.18384 -0.024219 0.0173 0.004896 0.2797].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.68145 -0.092269 0.005334 0.025146 0.13225 0.20736 0.063428 -0.031506 0.046114 0.21312 -0.20249 -0.068191 0.14305 0.055127 0.042422 0.17028 -0.17109 0.037961 0.0196 -0.02115 -0.17723 -0.16978 -0.015992 -0.018693 -0.16411 -0.00077313 -0.10797 -0.058474 -0.053631 -0.020507 0.00016721 0.043002 -0.011301 0.0013075 0.12815 0.10502 -0.047746 -0.17328 -0.027081 -0.090833 0.075565 0.057102 0.091623 0.02889 0.54782 -0.026893 0.011904 0.0087537 0.075175 0.01989 0.12919 0.077061 0.017383 0.3086 0.12643 -0.094072 -0.16238 0.0031056 0.044629 0.008206 -0.00044178 -0.067356 -0.026362 -0.081556 -0.003327 0.03655 -0.093172 -0.13616 -0.096709 -0.084254 0.0076766 0.038174].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.13487 0.65078 -0.03584 -0.097194 -0.029543 -0.72253 -0.017028 -0.24937 0.028572 0.015006 0.31772 0.046822 -0.066525 0.014399 0.0085133 -0.065254 0.2288 -0.00030473 -0.12266 0.012628 0.19772 0.25029 -0.057446 -0.051833 -0.042229 -0.4473 0.11537 0.063188 -0.01976 -0.027363 -0.18595 -0.0021471 -0.014377 -0.031908 0.013765 0.21619 0.05529 0.18048 0.036988 0.092051 -0.071049 0.068977 -0.36948 -0.065969 -0.042384 0.035508 0.005258 -0.073623 -0.15294 0.073912 -0.0077694 -0.035527 0.024284 -0.28681 -0.10722 -0.1636 0.046061 -0.011115 0.011225 0.58016 -0.098307 0.037885 -0.28134 0.061934 -0.03023 -0.17785 0.12657 0.27184 0.20584 0.077507 -0.013029 -0.0049833].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.15496 -0.090608 0.0099603 0.09128 -0.0089469 0.40569 -0.11728 0.29292 0.0092725 -0.14892 -0.015827 0.022949 -0.044051 -2.1832e-05 0.0023655 0.030006 0.10879 -0.040297 -0.18391 0.014118 -0.15628 -0.26833 0.051919 0.019578 0.17072 0.32461 -0.17017 -0.013716 0.13238 -0.10996 0.18024 -0.01959 -0.20454 -0.062477 -0.36322 -0.075599 -0.44236 -0.059462 -0.0024576 -0.081185 0.061784 0.062078 0.23996 0.056722 0.042937 -0.031533 -0.068005 0.040157 0.19867 -0.089466 -0.080307 -0.11547 0.029693 -0.031987 0.078247 0.37675 0.095624 0.0090332 -0.0017567 0.10316 0.059058 -0.1613 0.21349 -0.014263 0.030702 0.086239 -0.064008 -0.55668 -0.0078834 -0.036484 -0.020242 -0.057727].
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 [-0.24654 -0.1039 0.059612 -1.327 0.05267 -0.18886 -0.052149 -0.080188 0.01077 0.061862 -0.011585 0.098556 -0.055537 -0.020663 -0.014754 0.022517 0.22961 -0.095113 -0.0059175 0.22533 -0.042362 0.48409 -0.1298 0.01995 -0.59545 -0.077427 0.1103 0.013563 -0.12985 -0.16858 0.016714 -0.026581 0.11163 -0.29473 -0.14658 -0.16687 -0.045623 0.0064645 0.36674 0.039984 -0.15882 0.1536 -0.42238 -0.021891 0.38189 0.11928 0.01024 -0.25232 0.032044 -0.05434 -0.72284 0.32086 -0.097518 -0.028276 -0.093015 -0.42025 0.28777 8.5291 0.32844 -0.23908 -0.0087041 0.24553 0.50929 0.18565 -0.086335 -0.19713 -0.034415 0.070161 -0.0040711 0.30139 1.1892 -0.055654].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.28492 -0.037062 0.11577 -0.30698 0.20459 0.54888 0.037563 0.019168 0.11889 -0.020509 0.12522 0.081718 0.041056 -0.094638 -0.36211 -0.12386 0.43042 0.044897 0.18681 0.1902 0.053812 -0.033501 0.26475 -0.12823 0.06652 -0.43341 0.017908 0.042628 -0.093773 -0.15857 -0.0014709 0.007873 0.1488 -0.033751 0.071461 0.33974 0.014454 -0.087608 0.28005 0.14268 -0.11561 -0.076754 -0.10815 -0.53881 0.064721 0.073733 0.0023549 0.10892 0.15527 -0.13339 0.72504 0.22004 -0.064368 -0.075635 0.082473 0.20854 -0.12532 0.01839 0.057524 0.17406 0.12998 0.12006 -0.22321 0.057545 0.11579 -0.027384 0.20169 0.047805 -0.19027 0.049949 0.30006 -0.12475].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.16873 0.067908 0.15445 0.024677 0.10079 0.142 -0.76986 -0.074155 -0.31632 0.043103 0.06577 0.60982 -0.11143 0.04241 0.057165 0.036138 -0.031769 0.28013 -0.018332 -0.12473 -0.083986 -0.42406 0.41072 -0.013169 -0.030138 0.16908 -0.044297 -0.072209 -0.052772 0.075256 0.016022 0.033263 0.071343 -0.7146 0.071708 -0.006674 0.15854 -0.01505 0.1837 0.062015 -0.010574 -0.18431 0.0012969 -0.11154 0.25455 0.29879 -0.24538 -0.2231 0.0020742 -0.094735 -0.16256 -0.034403 -0.0077393 0.074415 -0.63261 -0.075885 0.078292 0.0054567 -0.038688 -0.045491 0.11957 -0.12238 0.094881 -0.28233 -0.013121 0.045305 -0.25553 -0.10005 0.0056258 -0.017824 0.71903 -0.03836].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.10294 0.2764 -0.31852 -0.055658 -0.018271 -0.075356 -0.38833 0.16801 -0.067109 -0.13771 0.142 0.058299 -0.26508 -0.075919 -0.014494 -0.030951 -0.049443 0.029295 -0.005129 0.025681 -0.11074 0.057158 0.060498 -0.072494 0.22853 -0.098602 -0.47034 -0.11722 0.0049135 0.021263 0.0094677 0.0072288 -0.22783 -0.018401 0.10063 -0.0069468 -0.077209 0.019495 -0.10305 -0.22314 0.080334 0.19315 -0.0045726 0.037161 0.28278 -0.058901 -0.068524 0.010303 -0.012114 0.40669 0.36314 0.069591 -0.31339 0.010312 0.018921 -0.048297 0.10046 -0.00083111 -0.14023 -0.023028 0.035816 -0.25812 -0.33924 0.00094319 -0.0012704 0.25548 0.011198 0.037325 0.03696 -0.63018 0.26074 0.00058356].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.16149 -0.52618 0.092792 0.00227 0.10921 0.056706 0.32573 -0.2468 -0.13525 0.11698 0.22299 -0.50763 0.15949 0.017806 -0.010613 -0.053384 0.30773 -0.035109 -0.02572 -0.060418 0.082312 -0.023524 0.079503 0.013025 0.24265 0.038863 -0.060368 0.089229 -0.10778 0.016092 0.20489 -0.40526 0.12887 -0.027256 -0.065407 -0.0038031 0.10186 -0.53898 -0.18927 0.51345 0.47482 -0.0097483 0.0036955 -0.033323 -0.016743 0.018094 0.077417 0.019447 -0.067106 -0.76362 -0.18379 -0.033309 0.40213 0.22623 0.35911 0.15193 0.0036607 0.0003224 0.30264 0.033972 0.0021265 0.31903 0.35267 0.091532 0.0083883 -0.01073 -0.0062399 -0.0009427 0.281 -0.012309 0.1675 -0.035814].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.14633 0.075709 0.1976 -0.10039 -0.014807 0.046311 -0.64666 0.40632 0.11497 -0.39833 -0.326 -0.1935 0.0828 -0.048902 -0.15327 -0.013663 -1.0801 0.010006 0.03294 0.06479 0.0082332 0.014911 -0.077278 -0.047801 0.28924 -0.073987 0.57683 0.020708 0.13878 0.022812 -0.19138 0.39593 -0.041099 -0.038614 0.049308 -0.056434 -0.14525 -0.11276 0.24898 -0.56813 -0.57756 0.014501 0.00038211 0.0045473 -0.024413 -0.15496 -0.00076375 0.0080987 0.056701 -1.3048 0.30072 -0.15933 -0.63361 -0.67732 -0.12477 -0.068263 -0.078777 0.00039283 -0.2178 -0.15449 0.0026413 -0.0063019 -0.21468 0.053048 -0.013469 -0.032685 0.040445 -0.16613 -0.37972 0.032699 0.066709 0.023179].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0029556 -0.053095 -0.43663 -0.00068399 -0.16949 -0.17849 -0.19505 -0.38628 0.088984 0.51113 0.13587 0.5166 -0.021131 -0.00063004 0.1283 0.087223 0.23886 -0.066727 -0.037496 -0.032095 0.0151 -0.017868 0.053167 0.10755 -0.55233 0.057061 -0.16962 -0.014876 -0.030433 0.012313 0.13635 -0.040423 0.031182 0.016925 0.018858 0.041529 0.11073 0.47235 -0.22917 -0.3871 -0.39751 -0.018127 0.0021983 0.0042304 -0.009769 0.15828 -0.069274 -0.0058642 0.029561 -0.042097 -0.3584 0.19164 -0.052419 0.031276 -0.25207 -0.073081 -0.1332 -0.0045437 0.21734 0.12714 0.019636 -0.41489 0.40773 -0.03591 0.010396 0.038963 -0.14092 0.047583 -0.11207 -0.020101 -0.012398 -0.0040931].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.025488 -0.099176 0.46428 0.042456 0.16941 -0.038684 0.18807 0.20749 0.012975 0.08879 0.090697 -0.31339 -0.0023519 -0.0080919 -0.15882 -0.3108 -0.0001481 0.087123 -0.49723 -0.0056944 -0.036266 0.02777 -0.047416 -0.026625 -0.40938 0.11292 0.15352 -0.18161 0.024194 -0.040493 -0.023303 -0.0068602 0.20625 -0.17743 -0.1961 0.017605 -0.061071 -0.093741 -0.17095 0.27575 0.54186 -0.017655 -0.12088 -0.0072279 -0.0374 -0.017603 0.081921 -0.0072346 0.0013933 0.41248 0.60899 -0.045504 0.096398 0.032384 0.24294 -0.16559 0.091699 -0.0064291 -0.099916 -0.00075289 -0.036958 0.41293 -0.21121 0.047318 -0.13254 -0.073777 -0.093152 0.1027 0.28297 0.030357 0.02171 -0.021595].
# Iteration 9:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.26356 0.075157 -0.062807 -0.019739 -0.012049 0.063449 -0.047474 0.049805 -0.0036957 0.0048577 -0.13548 -0.29517 0.030435 0.047698 0.19922 0.2531 -0.1837 -0.046108 0.52511 0.045629 0.039207 -0.04505 0.056173 -0.0085293 0.12834 -0.024255 -0.090559 0.30648 -0.10672 -0.064325 -0.12245 0.0499 -0.21143 0.20027 0.0182 -0.0009057 0.30212 -0.064158 0.41773 0.010376 -0.73452 -0.0084164 0.11872 0.010244 0.059029 -0.17099 -0.025365 0.0046799 -0.0023041 -0.066223 -0.27276 -0.075156 0.09837 -0.078748 -0.072746 0.37257 0.099763 0.010661 -0.10283 0.012809 -0.041285 -0.054755 0.056316 0.041212 0.1269 0.092278 0.15781 0.0034947 -0.44884 -0.24368 -0.30984 0.021048].
# Iteration 10:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.21212 -0.11097 -0.086663 0.07052 -0.027074 -0.087512 -0.019633 -0.056961 -0.11872 -0.012264 -0.28219 -0.014651 -0.039506 -0.17347 -0.073724 0.066241 -0.36997 0.021357 -0.14242 0.0022093 0.0068695 0.056641 -0.10114 0.0065118 0.36858 -0.039212 0.10618 -0.32942 0.11323 0.001264 0.14598 -0.054183 0.097153 -0.014317 0.14759 -0.04047 -0.048518 0.063631 0.0039752 -0.015298 -0.14858 0.034065 -0.024344 0.015784 -0.019489 0.16027 0.024766 0.0046207 -0.0076512 0.044356 0.30407 -0.041616 -0.023664 0.32673 -0.024183 0.025112 -0.038259 -0.002487 -0.23756 -0.00065338 0.062226 -0.053788 0.022465 -0.085668 -0.019355 -0.027122 0.087221 -0.18082 -0.069195 0.18115 0.26314 -0.00059763].
# Parameters are learned. Sampling algorithm is now running...
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# 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/R26_d18O_stack.
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Time elapsed = 18717 s