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R105.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 [3.694351 4.653335 110.3746 11.03408 17.25561 4.233559 6.431119 5.422634 10.33799 7.155727 12.43009 1.840066 5.920605 1.175443 17.55456 4.706707 13.53022 1.643002 16.69099 3.827679 4.911751 65.1346 5.056234 6.801945 5.090023 3.367664 -0.03161504 4.120378 56.02841 10.73353 0.1133273 0.2410582 4.148538 7.80326 6.111462 18.77568 7.76866 6.418356 3.801694 1.161037 0.5992562 13.85355 3.512988 9.601464 -0.1551399 12.43364 6.093576 12.52097 15.72055 55.78345 2.062399 14.7185 9.339437 27.67027 9.137408 16.68026 1.049512 0.08184643 5.459732 1.640666 14.14603 11.43802 18.48935 1.263873 1.371133 3.259815 63.48718 3.92382].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.049752 -0.38348 0.84721 3.393 1.1927 0.049707 0.21563 0.12369 1.5043 0.21909 1.9187 0.46285 0.25553 0.68785 3.0562 1.246 0.56721 0.22179 0.51732 0.75438 0.16071 5.6406 0.0099787 0.25219 -0.098505 -0.33041 -0.22943 1.048 1.7917 1.645 0.005446 -0.05393 0.31077 0.22652 0.12081 3.6225 0.58251 -0.039201 0.20511 -0.037901 -0.036413 5.152 0.58715 0.02947 0.076075 4.288 0.13033 2.5804 0.24948 1.7595 -0.10945 2.5926 0.51449 2.0302 1.1996 -0.082617 -0.17995 0.079337 -0.014732 -0.063944 2.0224 0.11987 2.6145 0.090774 0.13828 0.18332 5.3157 0.020159].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.082214 0.041728 0.096466 1.6448 0.021409 -0.0095683 -0.19137 -0.061398 0.032009 0.0020546 -0.12505 -0.00040673 0.089051 -0.11805 0.20244 -0.013754 -0.12395 0.24567 0.35001 0.12548 -0.20397 1.1639 -0.039075 -0.093499 0.52115 0.046307 0.010759 0.090335 0.29181 0.12313 0.4214 0.056599 -0.037763 0.020204 -0.17296 -0.012396 -0.056722 0.20948 -0.063821 -0.039718 0.0052684 0.03925 0.23913 -0.0036334 0.00055466 0.62258 -0.085809 0.1146 0.23731 -0.0018131 -0.0067357 -0.046734 0.11807 -0.39776 -0.25846 0.030984 0.04395 -0.048588 -0.067662 0.27356 0.45614 0.0011517 0.25684 0.68406 0.091598 0.049129 0.14492 -0.081671].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.069098 0.016798 -0.18898 0.16829 0.0024235 -0.010808 0.15337 -0.0082851 0.019346 0.012055 0.081955 -0.24745 -0.13703 -0.13869 -0.0058034 0.12011 -0.092188 -0.028791 0.031335 -0.036411 -0.079626 -0.27636 -0.011114 -0.12026 -0.0097231 -0.11404 -0.012178 0.11868 0.85076 0.09878 -0.23059 0.060891 0.039776 -0.019637 -0.0030698 -0.23357 0.00044209 0.011556 0.050895 0.042681 0.030803 0.014253 -0.36278 0.0080897 0.0051841 0.56811 0.12894 0.03742 -0.065078 0.71056 0.057336 0.071732 -0.11538 0.27282 -0.0041489 -0.061162 0.016833 -0.05687 0.0094765 -0.0061783 0.19628 -0.016661 0.0072304 0.45983 -0.063444 -0.10106 -0.20306 -0.058066].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.25609 -0.14033 0.059979 -0.076438 -0.010676 0.0107 0.027707 0.0049529 -0.15311 0.0050889 0.05937 0.051929 0.18757 0.12507 0.011819 0.0015237 -0.091388 0.11812 -0.19604 -0.0042944 0.082973 0.46715 0.01688 0.047038 0.0077339 0.14042 0.018911 -0.014635 -0.1197 -0.1771 0.25522 -0.0068524 -0.015279 -0.13216 0.042469 -0.0044652 0.06213 0.1659 -0.053581 -0.0084814 -0.0076568 0.079204 0.29956 -0.027962 -0.031081 0.013963 0.031999 -0.18809 0.16923 0.089195 0.06849 -0.0094965 0.021139 0.049426 0.027967 0.088893 0.0083178 0.019359 -0.16227 -0.02156 0.01617 0.023152 -0.041483 -0.012496 0.28414 0.16318 -0.26924 0.12756].
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 [28.04924 11.84755 63.49286 45.6968 58.28452 8.554903 6.60232 44.68302 54.56305 20.96389 29.06494 31.01968 54.29148 13.4892 32.80804 41.63714 99.13117 40.06 121.5825 23.52851 5.076372 219.4422 12.6247 36.18768 36.05209 30.87929 10.80067 12.13411 41.25867 7.865513 22.24572 3.705816 29.49157 51.66608 41.96049 49.18592 44.22827 48.82497 11.74344 17.94234 10.8242 30.67599 53.11383 10.4012 19.31827 59.0254 40.46912 278.1109 290.6078 551.4095 23.63298 93.36193 80.42954 29.42385 46.75823 251.1041 20.70898 24.92461 23.6892 9.281831 34.95678 52.45913 46.84143 38.11954 26.73705 11.60345 297.7691 23.14471].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [4.33953 1.55448 2.60525 4.9333 7.29475 1.03791 3.15433 1.56519 4.63464 4.06276 -0.691593 1.40033 7.98727 7.58529 9.31057 5.59665 10.1714 0.279046 19.4323 1.34922 -0.628183 39.2768 0.41793 4.38111 5.52795 4.64308 0.97826 2.56455 2.88981 2.5416 4.82363 2.01621 -0.419828 7.57017 0.748365 17.0757 6.47062 8.4063 3.80041 1.3025 0.380058 4.83973 5.18914 0.60378 2.49901 3.54611 4.05187 16.7237 15.8458 51.4776 4.87958 10.8035 8.62668 4.41041 1.64152 26.5923 1.19872 0.35071 -2.17865 3.28859 1.94364 6.98479 11.1173 0.401371 1.15065 3.10471 70.8661 3.0181].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.7081 -0.068599 0.36897 2.4908 0.81211 0.61519 0.28167 0.24136 2.3349 0.052726 0.096766 -0.81137 1.1561 0.19308 0.675 0.85823 -0.15327 0.57464 7.7735 0.5808 0.24048 9.0998 -0.022486 0.90385 -0.19927 0.9019 0.93282 0.31586 -0.30944 0.43881 2.5179 1.2033 0.45533 0.89841 0.67861 1.4847 0.45143 0.97139 0.83638 0.13877 0.12046 0.91539 0.24611 0.17669 0.42651 0.80862 1.5396 1.9335 0.22199 6.0176 1.3517 5.0505 5.7072 0.90895 0.40669 1.3938 0.69082 0.034861 -0.1675 0.40954 1.0619 0.046018 -0.64664 -0.03929 -0.031159 0.9732 9.9826 -0.029714].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.27126 -0.33903 0.87602 0.92445 0.018492 -0.29061 0.19513 -0.10539 0.085231 -0.047433 0.17199 1.2642 -0.062393 -0.15844 0.10025 0.11087 -0.76376 -0.30734 1.213 -0.0032551 1.7907 2.1786 0.067583 -0.022592 -0.049223 -0.0047964 0.50764 0.046064 -0.25025 -0.028952 0.035445 -0.083251 0.041268 0.021091 0.054247 -0.26741 -0.1109 0.25429 0.45495 0.049355 0.36643 -0.26382 -0.43411 -0.0072305 -0.014435 -0.18507 0.52886 0.21142 -0.077298 0.21004 -0.081915 0.25251 -0.53254 0.22454 -0.72191 0.63967 -0.29005 0.011758 -0.075467 -0.53458 0.094438 -0.2222 0.24512 -0.060467 0.0078703 -0.19592 0.25188 0.011032].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.37822 0.40244 0.088886 -0.44449 0.0041236 -0.51269 0.031135 0.11604 -0.041944 0.13599 -0.074857 -0.029274 -0.012696 0.1686 0.099948 0.014574 0.049376 0.32498 -0.23153 -0.063162 -0.025901 0.087382 0.0024211 0.026852 0.14784 -0.018109 0.092688 0.17356 0.21982 -0.15607 -0.17538 0.13936 -0.11698 0.0062874 0.0088623 0.54375 -0.20483 0.011239 -0.12074 -0.13419 -0.083114 0.11121 0.16266 0.0093149 0.11248 -0.36717 -0.01224 0.32602 -0.027066 0.17707 -0.10175 0.24914 0.032685 0.039352 -0.33396 0.96877 -0.021852 0.04703 -0.092443 -0.036946 -0.093159 0.33113 0.028993 0.08117 0.0081833 -0.10128 0.17783 -0.0014475].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.1253 -0.35568 -0.016922 -0.44805 0.0008853 0.18842 0.011305 -0.21087 0.021388 -0.039792 -0.079584 -0.1682 0.030524 -0.30255 0.097424 -0.0009883 -0.055376 -0.38986 0.26069 -0.018683 -0.31698 -0.42019 -0.016228 -0.034476 -0.21811 0.0042619 -0.029323 -0.10441 0.019503 0.15756 0.11538 0.19604 0.1427 -0.0034166 -0.0041107 0.034199 0.078026 -0.001168 -0.075006 -0.15575 0.043635 -0.47095 -0.12541 -0.03274 -0.0077961 0.27742 0.011556 0.084538 -0.093006 -0.11771 -0.062505 0.024785 -0.072196 -0.0045414 0.26444 -0.66219 0.073901 -0.066632 -0.5117 0.15039 0.025386 -0.34456 -0.013501 -0.030713 -0.059135 0.16282 -0.0075474 0.0071123].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0078287 0.31734 0.010634 0.74755 -0.027214 0.10738 -0.0022952 0.21104 -0.0085889 -0.065397 0.16315 -0.22622 -0.026167 0.22928 -0.27136 0.004249 0.01981 0.27103 -0.086127 0.070802 0.19137 0.27788 -0.059292 0.03496 -0.13289 0.023897 -0.011286 0.12133 0.020699 -0.0010944 0.016186 -0.67895 -0.034837 -0.055089 -0.0631 0.029398 -0.12888 -0.0046176 0.1791 0.12869 -0.04224 0.73424 -0.027857 0.027728 -0.091895 -0.42162 -0.37639 -0.070315 0.16431 0.067633 -0.099496 -0.0018001 -0.042605 0.0037571 -0.17658 -0.17352 0.14914 0.072791 0.50536 0.01615 0.089083 0.040169 0.028366 0.011458 0.050155 -0.11681 -0.0017592 0.0050298].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.058632 -0.20302 -0.0014329 0.15512 0.03064 -0.21565 -0.041084 0.092509 0.023434 0.079752 -0.023767 0.31866 -0.079835 -0.17262 0.12305 -0.0012025 0.010996 -0.081016 -0.03892 0.14209 0.017569 0.20246 0.063183 -0.029535 -0.23357 -0.04028 0.023109 -0.068139 -0.00275 -0.0058121 -0.057049 0.0027325 -0.081244 0.058519 0.061788 0.012341 -0.11396 -0.017424 -0.032601 0.02615 -0.046521 0.15853 0.25606 -0.029682 0.099693 0.55608 0.37448 -0.18767 0.017096 0.047587 0.26282 -0.2467 0.012668 -0.077257 0.16797 0.2631 -0.48088 -0.091938 -0.14059 -0.044218 -0.00016573 -0.18775 -0.099087 0.030164 0.0040984 -0.20756 -0.27117 -0.020341].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.13784 0.079984 -0.10737 -0.030601 -0.024276 0.080745 0.032375 -0.2983 0.022004 0.055355 0.02091 -0.16075 0.037153 0.18265 0.040875 -0.014995 0.051787 -0.11042 -0.074393 -0.094405 -0.12155 -0.023854 0.011551 0.029474 0.22744 0.026466 0.019522 0.08543 -0.081654 -0.022809 0.035911 0.013805 -0.022441 -0.25691 -0.0183 -0.2409 0.31935 -0.13811 -0.024793 0.17849 0.1143 -0.049807 -0.46355 -0.033422 -0.0077017 0.15802 -0.0015758 0.048863 -0.056517 -0.14112 -0.014083 0.11717 0.095999 0.066093 0.042537 0.029036 0.58059 0.10153 -0.052912 -0.045809 -0.0020091 0.071048 0.087336 -0.075601 -0.0087655 0.26665 0.281 0.0037851].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.046009 0.038006 0.10892 0.058769 0.019139 0.27929 0.0075959 -0.053147 -0.0069259 -0.10106 -0.052661 0.0695 0.010775 0.043276 -0.13741 -0.049048 -0.18036 0.47837 0.13301 -0.3999 0.21256 0.088465 0.00088128 -0.014642 0.15212 -0.020508 -0.044862 -0.18602 -0.19037 0.0029674 0.066522 -0.11058 0.075105 0.019572 0.011217 0.17653 -0.24911 0.15039 -0.095065 -0.047972 0.019732 -0.42339 0.23203 0.08581 -0.012955 -0.12055 -0.041784 0.08023 0.0029562 0.0098356 -0.038603 0.027087 -0.1033 -0.0079326 -0.32524 -0.0058479 0.038647 -0.061805 -0.013192 0.041565 -0.033741 0.0078569 -0.0023851 -0.13215 0.0071896 0.016651 -0.01751 0.0057342].
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 [1.2054 0.25762 0.080571 -0.24275 0.26495 0.1476 0.24676 0.12444 0.36967 0.093931 -0.52593 0.53561 0.037805 -0.026679 -0.045987 0.069293 -0.068945 -0.02661 0.79158 0.016031 1.5814 0.077815 0.088705 0.013298 0.28878 -0.043434 0.0051728 0.02494 0.22431 -0.13946 -0.03894 -0.030633 -0.1762 -0.16861 0.13901 -0.028949 -0.059348 -0.30051 -0.04649 0.019095 0.36588 0.0072116 -0.036406 -0.036703 -0.31494 0.014186 -0.10263 0.13589 -0.26108 0.071143 0.1748 -0.047362 0.28532 0.49919 -0.037821 -0.26123 0.055509 2.5596 -0.81855 -0.023507 -0.15306 0.04221 -0.0093621 -0.42717 0.050843 -0.2408 -0.28776 0.0096011].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.042238 -0.082432 0.26013 0.045307 -0.019918 -0.0037947 -0.095302 -0.11924 -0.015538 -0.017433 0.015766 0.20096 -0.16435 -0.0065579 -0.27156 0.0443 0.031526 0.23099 -0.18596 0.00955 -0.42593 0.2513 0.023707 -0.041657 0.020967 -0.02222 0.19033 -0.011911 -0.21295 0.054589 -0.025249 -0.077613 0.043378 0.18028 -0.3333 -0.033672 0.21281 0.10248 -0.097537 -0.062496 -0.6759 -0.22881 -0.1425 -0.040758 0.015181 -0.040443 -0.14216 -0.47424 0.065398 1.7432 -0.011145 0.061035 0.023011 0.21326 -0.010747 0.028299 -0.21397 0.19205 -0.076434 -0.16822 -0.15936 -0.094968 0.070569 0.066764 -0.00080466 -0.038229 -0.24583 -0.23575].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.57192 -0.058909 0.10534 0.73917 -0.051368 -0.15486 -0.021164 0.23036 0.029015 -0.26879 0.19951 -0.044596 0.037069 -0.031835 -0.00019404 -0.024187 0.011646 -0.044188 -0.36734 0.023956 0.37883 -0.0024025 0.044577 0.58847 0.17982 -0.053936 -0.0023039 -0.028177 0.083138 0.1499 0.018882 -0.034062 0.020448 -0.0050097 -0.011215 0.0098678 -0.13703 -0.69417 -0.028646 0.041514 -0.46469 0.0010244 0.057125 -0.051715 0.11891 -0.0556 -0.024529 0.003501 -0.1857 -0.011149 0.49741 -0.0082325 -0.449 -0.13079 0.01124 0.095388 0.042277 0.036665 0.09011 0.023867 0.031726 -0.023458 0.28586 0.15749 -0.024481 0.052258 0.51169 -0.0013887].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.022071 -0.0049568 0.18934 0.00476 -0.058081 -0.28535 -0.011813 0.090931 0.04653 -0.12602 -0.017015 -1.1902 0.044141 -0.071295 0.053414 -0.087109 0.53597 -0.33599 0.14464 0.020225 0.0069604 -0.24004 0.035906 -0.047316 -0.169 0.13105 -0.25251 0.040365 -0.0009361 0.17121 0.03241 -0.01146 0.047804 -0.027577 -0.099825 -0.0077038 0.44611 0.048597 0.25705 -0.099806 -0.10341 -0.016245 0.02139 -0.059785 -0.061152 -0.12493 0.20923 -0.14412 0.1506 0.40882 0.0026371 0.17835 -1.4093e-05 -0.017477 0.12681 0.029327 -0.045375 -0.07455 0.40806 0.00094262 -0.010596 0.1039 0.0023385 0.094455 -0.06652 0.037868 0.44386 -0.04431].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.013506 -0.041344 0.01703 0.027622 0.023774 0.14413 0.033272 0.050226 -0.1239 -0.017516 0.02411 0.022425 0.25447 -0.033172 -0.32474 0.092658 -0.55933 0.10612 -0.121 -0.076893 -0.10875 -0.39891 -0.033895 0.046767 0.17442 -0.10452 0.079644 0.28402 0.053082 -0.33643 -0.056713 -0.0025524 -0.077674 -0.020615 0.00044768 -0.015472 0.27174 -0.17228 -0.23004 0.089035 0.075225 0.027918 -0.19571 0.12979 0.055608 0.049657 0.39322 0.14456 0.074011 -0.079399 0.030245 0.075998 -0.37653 -0.026791 -0.031844 0.063031 0.18194 -0.02118 0.083008 0.049799 -0.22519 0.044432 0.014099 -0.14541 0.097619 -0.10939 -0.17086 0.026699].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.043971 0.048866 -0.035445 0.042848 0.010387 0.080363 -0.041331 0.18461 0.20025 -0.016272 -0.02163 -0.0021924 -0.28257 0.017235 0.052334 -0.020458 -0.13862 -0.11363 0.066859 0.066302 -0.12111 0.60518 -0.020408 0.0048491 -0.014767 0.061015 -0.067818 -0.12895 -0.13091 0.21651 -0.034918 0.0012402 0.022392 -0.042276 -0.0033728 -0.0059641 -0.0021822 -0.15757 0.1646 -0.15152 0.011044 -0.02677 -0.0096892 -0.06018 -0.19841 0.072564 -0.15845 -0.007784 0.0016096 0.20665 -0.054156 -0.035427 0.36533 0.015055 -0.14936 -0.11499 0.071638 0.046928 -0.44684 -0.0038926 0.2273 -0.083187 -0.019665 0.14229 -0.0057276 0.24322 -0.22705 0.047209].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0027936 -0.00084011 -0.013263 0.023644 0.0062648 -0.52043 -0.039684 -0.079538 -0.30911 0.073902 -0.0098365 -0.14453 0.14084 -0.02631 0.1377 -0.0019636 0.12531 0.42784 -0.12569 -0.20962 0.022777 -0.12949 0.023659 -0.17086 0.0071821 -0.029672 0.14671 -0.14301 0.12993 -0.15967 0.0080374 -0.004415 -0.14058 0.071762 0.049676 -0.067863 -0.43202 0.69477 0.05153 0.16672 -0.021253 0.014261 0.037649 0.0050655 0.28263 -0.12431 -0.21678 0.0016245 -0.040875 -0.094034 0.028105 0.020148 0.006504 0.0047494 0.16048 0.080438 -0.5706 -0.028445 0.53324 -0.10941 -0.083868 -0.22352 0.0098332 -0.018348 -0.01499 -0.21721 0.43934 -0.035652].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0032686 -0.049729 0.076994 -0.10482 -0.030432 -0.39171 -0.066693 -0.18975 0.10841 0.13746 0.095849 0.13619 -0.11313 0.211 -0.096219 0.024772 -0.026041 -0.45877 0.17898 0.21453 0.094163 -0.23606 0.029885 0.087271 0.0056519 0.018098 0.17099 -0.0089361 -0.018964 0.030937 -0.41921 -0.072955 -0.10277 -0.025363 0.0039013 -0.27447 0.12738 0.025639 -0.39279 -0.022391 -0.10131 -0.0079322 0.14981 -0.052219 -0.32629 0.10842 0.19144 0.0039717 0.017538 0.042858 -0.22369 -0.081751 0.0061599 -0.10674 -0.019555 0.015117 0.12723 -0.054649 0.00095927 0.10872 0.07222 0.25426 0.003768 0.021253 0.019673 -0.050993 -0.35186 -0.15249].
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 [-0.12868 -0.14129 -0.00085133 0.084336 -0.013436 0.06965 0.078347 -0.1759 0.70289 0.15923 0.11718 -0.24446 0.005228 -0.35987 0.040564 -0.073453 0.025258 0.058342 0.38306 0.010359 -0.1387 0.073338 0.077265 -1.0655 0.38252 0.026506 -0.016912 0.16643 -0.24751 -0.067729 0.14944 -0.025328 -0.090938 0.09415 0.04437 -0.12809 -0.048112 0.12965 -0.068396 0.016173 0.21544 -0.0082782 0.074503 -0.035152 0.12496 -0.020855 -0.002022 0.99775 0.46034 0.79382 0.017295 0.41223 0.29316 0.07308 -0.072255 -0.026201 0.090376 -0.34484 -0.2847 -0.0036739 -0.010576 -0.030145 0.19716 0.30203 0.053988 -0.30482 1.4323 -0.047599].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11039 -0.13528 0.25055 -0.0030398 0.054208 -0.62155 -0.0055049 -0.019323 -0.02172 0.098054 -0.08919 0.057995 0.30504 0.038969 0.12593 -0.0079664 -0.068351 0.0095982 0.0050267 0.24927 0.071822 -0.19627 -0.052268 0.15096 0.047909 -0.008657 -0.19097 0.01477 -0.058881 0.042332 -0.065976 -0.025439 -0.10602 0.17246 -0.049215 -0.0030415 0.028712 0.14946 -0.11475 0.10481 -0.23612 0.1568 0.073745 -0.028321 -0.0073274 -0.0623 0.0021621 -0.0068842 -0.24228 0.27485 -0.04122 -0.90227 0.5621 -0.026807 0.0068916 0.31614 0.13959 0.24551 0.63393 0.41326 0.25305 -0.098917 0.089945 0.11826 0.0086231 -0.027129 0.011359 0.012341].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.032237 0.13805 -0.16341 -0.42037 0.076117 0.14265 -0.021389 0.30888 -0.10125 0.0021855 -0.026075 -0.15938 -0.00061821 0.018617 0.38 0.0093911 0.040972 0.017688 0.48615 0.01971 0.25293 -0.099855 0.068044 -0.063162 -0.0033605 0.066914 -0.050054 -0.043602 0.27523 0.20483 -0.060413 -0.041186 0.081333 0.028301 -0.16218 -0.019136 -0.0013804 -0.048316 0.0091293 0.093275 0.093255 -0.0035317 0.82582 -0.063503 -0.067839 -0.068482 -0.10789 -1.4878 0.29831 -0.48612 0.36513 0.17888 0.041466 -0.29837 0.095749 0.31311 -0.083234 -0.12388 0.087747 0.017046 -0.32678 0.033293 -0.34263 0.079157 0.0028216 -0.10865 0.26667 -0.027022].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.29167 -0.026636 -0.14233 -0.0079277 0.28718 0.067436 0.098889 0.44587 -0.49428 -0.042228 -0.37855 0.020846 -0.48382 0.11341 -0.13226 -0.047447 -0.93598 -0.020528 -0.055239 0.07209 -0.018558 -0.15071 0.018427 0.0054296 0.13328 -0.021829 -0.084682 -0.1463 -0.19926 0.20925 0.094548 -0.3853 -0.032754 -0.088924 0.031465 -0.18257 -0.023875 -0.029535 0.070486 0.011624 -0.24172 -0.029381 0.42031 0.029963 0.10159 0.018183 -0.29979 0.21733 -0.059209 -0.011866 -0.0097835 -0.70044 0.097767 0.024341 -0.010756 -0.24928 -0.050366 0.049005 -0.054053 -0.010089 -0.26492 0.10801 0.12323 -0.15608 0.0033835 0.091495 0.059746 -0.036972].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.039584 0.085914 0.15993 0.0037278 0.0065667 -0.0041476 0.016175 -0.14231 0.25319 -0.0022977 -0.041179 0.089314 0.23279 -0.29461 -0.11007 0.028753 -0.26022 0.023896 0.10305 0.17887 0.27448 0.051167 -0.041248 -0.06466 -0.019644 -0.134 0.17708 0.16128 0.2673 0.087736 0.0010467 -0.17202 0.0023692 0.14124 -0.0064726 -0.72668 0.025656 -0.022588 0.026551 0.0017032 0.084748 0.25372 -0.27997 -0.010038 -0.13243 -0.029586 0.37694 0.035632 -0.093422 -0.0095566 0.0016011 -0.05912 0.059776 0.027585 -0.012749 0.1225 -0.20797 -0.0019095 -0.097554 -0.14768 0.64358 0.0059155 -0.57647 -0.23936 -0.05805 -0.023681 -0.13453 -0.049525].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.065225 -0.069299 0.00027979 -0.096841 -0.44458 -0.17026 -0.37597 -0.087469 0.034684 0.019252 0.3327 -0.0032576 0.051596 0.17027 0.34195 0.0057473 -0.91023 0.0040136 -0.16781 -0.47008 -0.12144 -0.42584 0.040831 0.045012 -0.041295 0.1403 -0.11292 -0.03157 0.17494 0.025349 -0.0088656 0.2374 -0.022604 0.020327 0.0079072 0.053526 0.017885 -0.051716 -0.063821 0.017905 0.11288 -0.41618 0.279 0.0052523 0.20693 0.025101 -0.10633 -0.21557 0.028675 -0.02656 0.00089418 0.00080989 -0.0075006 0.041753 0.0064211 0.10175 -0.30804 -0.025246 -0.73242 0.13659 -0.25681 -0.054933 0.11786 0.20529 0.055912 -0.043911 0.1377 -0.0084279].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.31189 -0.32088 -0.0070362 -0.20433 0.45324 -0.024231 0.37937 -0.0045858 0.37046 0.0060404 -0.10475 -0.11887 -0.12896 0.045591 -0.011432 0.027106 0.10665 0.0028342 0.1505 0.022739 -0.12903 -0.12022 -0.0026981 -0.0064265 -0.0015439 -0.024119 0.066255 -0.052993 -0.24828 0.048623 -0.032502 0.24669 -0.014203 -0.22653 0.0066464 -0.015102 0.0015317 0.047691 0.060007 0.053666 0.0091908 0.18224 0.023081 -0.046056 -0.094797 -0.016637 -0.21383 -0.43173 0.10233 -0.1653 -0.09592 0.046037 -0.39068 -0.0058558 0.0040926 0.027839 0.22061 0.020177 0.17108 -0.051671 -0.044352 0.053063 -0.17517 0.097984 -0.021199 0.067185 -1.0555 0.041573].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.22717 0.25726 -0.0069303 0.29969 -0.1443 0.17397 -0.0027293 0.22984 -0.39315 -0.034313 0.029078 -0.073242 0.22652 0.072967 -0.008937 -0.06779 0.10489 0.027809 -0.28332 0.36217 0.22994 0.74348 -0.0086148 0.027093 -0.030652 0.018571 0.036408 -0.16954 -0.64315 -0.38215 0.032263 -0.69198 0.021431 0.11192 -0.049336 0.047306 -0.060549 0.073082 -0.13722 -0.20246 -0.13171 0.052194 -0.10139 0.036941 -0.16166 -0.011464 -0.026414 0.5796 -0.11565 0.21161 0.091612 -0.011201 0.37652 0.018722 -0.038379 0.0040541 0.048583 0.0036865 -0.080432 -0.18505 0.08457 0.0051046 0.088311 -0.049424 -0.021556 -0.025506 -0.049342 0.005453].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.18794 0.12423 0.023094 -0.00050506 -0.34021 -0.082376 -0.035631 -0.44273 -0.14207 0.082473 0.035327 0.081431 0.19819 -0.17775 -0.094814 0.035036 -0.10925 -0.03136 0.16963 0.1192 0.012033 -0.28609 -0.01202 -0.028308 -0.029639 -0.027272 -0.21219 -0.11694 0.24097 0.16304 -0.023279 -0.089524 0.0094794 -0.093869 0.051191 -0.013707 -0.1642 -0.14056 0.11386 0.19576 0.14746 -0.11716 0.083556 0.025313 0.12068 0.030485 0.15756 0.47168 0.038354 -0.24951 -0.15632 0.00045222 0.0042366 -0.02685 -0.32758 -0.079093 -0.0036014 0.003715 0.054078 0.24499 0.019121 -0.00058965 -0.21918 -0.037011 0.012701 0.015543 0.023469 -0.02046].
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 [-0.093719 0.093857 -0.044286 -0.02085 -0.12367 -0.10914 0.25085 0.83049 0.0016679 0.22706 -0.026697 0.39557 0.035866 0.01387 -0.76671 0.058402 0.61363 0.094465 -0.042284 -0.14254 0.013753 0.32859 -0.0095314 -0.038048 -0.043988 -0.17324 0.11391 -0.011472 -0.67995 -0.015402 0.014183 -0.29866 -0.064835 -0.14532 -0.024009 0.10917 -0.24285 -0.54179 0.086344 0.097923 0.0006076 0.6366 0.021575 -0.21677 -0.036144 0.05209 0.15609 -0.031396 0.031985 0.098431 0.13598 1.9821 1.2437 0.082116 -0.016277 -0.42831 -0.36489 0.92958 0.94153 0.0032806 0.030357 0.00080062 0.019135 0.43302 -0.18708 -0.67043 0.35289 0.19216].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13305 0.016098 -0.028991 -0.093778 -0.07019 -0.29872 -0.022596 0.15491 -0.0057535 0.18119 0.073688 0.096074 -0.16345 -0.29713 0.13438 0.21092 -0.90851 -0.028206 -0.37987 0.12927 0.038333 0.062695 0.036446 0.17048 0.051713 0.10909 -0.090268 0.063713 -0.083148 -0.04343 -0.16713 -0.063586 0.015655 -0.0017235 -0.59033 0.050573 -0.57586 0.12048 -0.1275 -0.46284 -0.011499 0.041179 0.12885 0.04588 -0.0009161 0.14181 0.036638 0.018236 -0.12071 0.75884 0.073714 0.18984 0.96106 -0.070852 0.085001 -0.21149 0.29748 0.12797 0.035825 0.13422 0.042478 -0.010656 -0.084953 0.043439 0.10876 0.20139 -0.14694 0.023871].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.044082 -0.038485 -0.32837 0.0016032 0.2077 -0.22635 -0.033912 -0.18981 -0.08489 -0.069089 -0.13836 -0.36577 -0.018081 0.029565 -0.040675 0.012506 0.38237 0.23562 -0.17593 -0.07007 0.11477 0.17831 0.017886 0.022669 -0.02311 -0.067235 0.064878 -0.068322 0.061478 0.060271 0.14084 0.17933 -0.10923 -0.28859 -0.14235 -0.46391 0.12009 -0.29595 -0.1455 -0.00015805 -0.077853 -0.0050854 -0.068529 -0.0084399 0.14549 -0.14521 -0.19151 -0.14915 0.21458 0.050704 0.035734 -0.075425 0.1048 -0.24042 0.1812 -0.31998 0.027281 -0.026198 -0.26119 -0.004602 -0.5479 0.013509 0.7465 0.11163 -0.16523 -0.10228 -0.091543 -0.06168].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.10659 -0.06608 0.084952 -0.051341 -0.060235 0.25298 0.13682 -0.051836 -0.018472 0.086565 0.090711 -0.076894 -0.30297 0.050743 0.10623 -0.070848 -0.50898 -0.032334 -0.14324 -0.13077 0.047926 -0.041369 0.0033329 -0.029608 -0.1002 -0.054424 0.037107 -0.24659 0.21501 -0.098718 -0.37817 -0.46539 -0.16274 0.014368 -0.0072502 0.047156 0.065566 -0.25544 0.50971 -0.0065205 -0.0049731 -0.04222 0.098065 0.017076 0.0079771 0.18219 -0.18512 0.45891 0.041298 -0.63044 0.39103 0.018214 -0.00076122 -0.10098 0.13869 -0.25473 -0.050133 -0.037521 0.20298 0.01022 -0.30653 -0.0091666 -0.23962 0.0060851 0.04307 -0.0039609 -0.0057797 -0.44371].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11542 -0.033171 -0.37869 -0.030335 0.0011207 -0.078619 -0.1099 0.010612 -0.009877 0.024042 0.010242 0.036576 0.4025 0.039505 -0.079752 -0.014308 0.21516 -4.0273e-05 -0.12942 -0.069604 0.0088658 0.021356 -0.0078951 0.0063861 -0.12844 0.13094 -0.13727 0.70175 0.0095187 -0.084314 0.0045897 0.34433 -0.017147 0.0062345 0.034198 -0.11567 0.043098 0.011559 0.022762 -0.025385 -0.02445 -0.033264 -0.065872 0.00043948 -0.0053211 0.012135 0.16141 -0.22013 -0.0048091 -0.70594 -0.52135 -0.26885 0.069732 -0.4313 -0.043168 -0.17019 0.067199 0.19721 -0.029383 0.10743 0.28427 -0.067696 0.14319 -0.0031887 -0.027808 -0.080883 0.13773 0.47002].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.68085 0.047629 0.20874 0.041325 0.011077 -0.13713 -0.15303 0.0026793 0.011289 0.3431 -0.10891 0.020478 0.0079827 -0.008239 0.056888 -0.038162 0.028207 0.026768 0.0717 -0.16116 -0.10882 -0.22314 -0.035574 0.02028 0.1647 -0.14367 0.12295 -0.035103 -0.20224 0.13501 -0.22841 -0.32107 -0.16296 -0.161 -0.17617 0.19667 -0.0074462 0.18401 -0.098482 -0.12722 -0.084403 -0.0058124 0.026692 0.056768 0.0021985 -0.079436 -0.042791 -0.58259 -0.022643 -0.76095 -0.042131 0.11529 -0.14627 0.9372 -0.018177 0.43049 -0.026271 -0.060774 0.032961 -0.10658 0.058086 0.074058 0.11496 0.0025479 0.071904 -0.10603 -0.33529 -0.23978].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.16672 -0.017853 0.18731 -0.080035 -0.13592 -0.38957 0.013651 0.018237 0.0064421 0.20902 0.096384 -0.0015687 -0.076029 0.0082516 -0.028421 0.088006 0.21704 0.019917 0.32153 0.0019708 0.02088 0.13997 0.055257 -0.0050206 -0.053384 0.16369 0.042278 -0.015087 0.16044 -0.083534 0.14344 0.08863 0.088813 0.12393 0.17194 -0.042048 -0.056268 -0.027522 0.098998 -0.15276 0.056682 0.018771 -0.031668 -0.038796 0.0018854 -0.042971 -0.07789 -0.21378 0.027379 0.17844 -0.15205 0.095401 0.13791 0.037364 -0.035461 -0.55851 0.072406 -0.19958 -0.083792 0.11668 -0.067569 -0.0071484 -0.47004 -0.012354 -0.0051703 0.19519 0.39416 -0.017523].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.04493 0.028696 -0.23445 0.12106 0.12994 0.13141 0.15149 -0.058184 -0.036322 -0.37091 -0.050139 0.0060979 0.067563 -0.0020989 0.022413 -0.024806 -0.080876 -0.0067046 0.16238 0.26798 -0.23428 0.058512 -0.013832 -0.039137 -0.0059247 -0.063874 -0.0062866 -9.8378e-05 -0.23177 0.20225 0.46278 0.43333 -0.025974 0.0019779 -0.015397 -0.14512 0.025275 0.049173 -0.034808 0.36099 -0.14295 0.023166 0.048261 0.10372 -0.0090956 0.11952 -0.58746 0.61698 -0.012705 -0.16498 -0.016059 -0.14277 -0.060026 0.03418 0.10251 0.030657 -0.35564 0.03863 0.078015 -0.084122 -0.13434 -0.048775 0.45489 0.018187 -0.036984 0.010082 -0.30281 0.3186].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0010567 -0.018942 0.35661 -0.062497 -0.0013179 0.14297 -0.12119 0.057078 -0.39825 0.20505 0.056562 -0.010197 -0.043633 -0.0073047 -0.2108 0.077028 0.005843 -0.045209 -0.13536 -0.16987 0.10907 -0.0074483 0.00077578 0.046852 0.047323 0.046778 -0.043765 -0.020784 0.19638 -0.11543 -0.27542 -0.59066 0.23414 -0.010167 -0.11934 -0.15868 0.025345 -0.28498 0.0070125 -0.090439 0.032742 0.05237 0.01051 -0.068059 -0.0074 -0.040781 0.37621 -1.064 -0.037371 0.3073 0.091265 -0.0929 0.060939 -0.15191 -0.011708 -0.18031 0.2977 0.22918 -0.021915 -0.066366 0.20401 0.035753 0.0029652 -0.0013367 0.031667 0.0021884 0.26001 -0.10972].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.18497 0.011911 0.0107 -0.1897 0.0099001 -0.015617 0.16437 0.0098722 0.45457 -0.0073548 -0.015536 -0.0069014 0.04414 -0.034476 0.20786 -0.088688 -0.54471 0.02402 0.131 -0.6233 0.18821 -0.17659 0.0011744 0.013565 0.0085685 0.0041658 0.020727 -0.02239 -0.7489 -0.10773 -0.36413 -0.14316 -0.010055 -0.077069 0.05824 0.028075 -0.18424 0.28503 -0.0047687 -0.089119 -0.0038997 0.0046047 0.011099 0.080556 -0.024468 -0.29991 -0.0098215 0.74374 0.02538 0.0015923 0.095214 -0.13913 -0.0063133 -0.0049992 -0.12216 0.11556 0.023507 -0.036607 0.018368 -0.10233 -0.06441 -0.090751 0.0023825 -0.03824 -0.097278 -0.02495 -0.24256 -0.038321].
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 [0.91375 0.012437 0.073217 -1.2516 -0.013934 0.38661 -0.10454 -0.51506 0.16924 -0.087256 -0.0050623 1.0478 0.040347 -0.0060383 -0.016521 -0.14564 0.090812 -0.2587 0.86613 0.05398 -0.0067153 -0.49184 0.034766 -0.11783 -0.0025435 -0.02168 0.064976 -0.0028891 -0.30653 0.0058823 0.011762 0.070749 -0.019299 0.022267 0.21105 0.03613 0.061872 0.14949 0.036955 0.018544 0.015492 -0.018598 0.096768 0.050137 0.02958 0.28836 0.044893 0.64977 0.018908 -0.68485 0.0038436 2.6259 0.60325 0.172 0.0035664 -0.043889 0.097214 0.18045 0.63256 -0.089121 0.15274 0.19072 -0.046637 1.3355 0.16697 -0.57042 -0.71026 0.11209].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0090117 -0.10154 -0.11845 -0.0015854 0.17611 -0.057139 0.079433 0.48385 0.0040681 0.035236 -0.036642 -0.1769 0.037705 -0.16113 -0.090162 -0.15719 0.61241 -0.015683 0.52058 0.39651 -0.057047 -0.044512 0.083741 0.09986 -0.16036 0.27039 -0.014085 0.27888 -0.060068 0.015166 0.015689 0.069702 -0.090329 -0.081442 0.076927 0.025721 0.06203 -0.26681 0.00027019 0.025983 0.01058 -0.00023548 0.32895 -0.19938 -0.019865 0.66881 0.00051705 0.02277 -0.31235 0.074592 0.021257 0.64744 0.15361 0.088432 0.0084576 -0.28059 -0.1575 0.065863 -0.16055 0.088344 0.094525 0.009688 0.38688 -0.017011 -0.10553 -0.046758 1.0805 -0.30424].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.052228 0.10142 -0.16905 0.046734 -0.25024 -0.29355 0.13746 0.042873 0.1195 0.011337 -0.19939 0.0065868 -0.084925 -0.096474 0.059294 0.032206 -0.056644 0.035394 -0.12311 0.02063 -0.13309 0.023131 -0.024257 0.03131 -0.082444 0.26483 0.06375 0.13568 0.12039 0.02647 0.057008 -0.012912 0.03116 0.10944 0.039404 0.033112 0.019207 -1.4812 0.013746 0.10867 0.014771 -0.0087328 -0.59041 0.1059 0.039409 0.018698 0.02519 -0.21029 -0.15996 -0.019828 0.10845 0.28247 0.32948 0.055724 0.17138 -1.6418 -0.019975 -0.0046137 0.013933 0.038202 0.10231 -0.056992 -0.0028266 -0.039954 0.050104 -0.046274 0.30357 -0.25575].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.061408 0.14247 0.038581 0.068161 0.095933 -0.48299 -0.13925 0.060239 0.1786 0.0023964 -0.43349 0.6394 -0.042248 -0.22802 0.0010688 -0.24326 -0.14136 0.039923 -0.36217 0.050325 -0.010803 -0.11525 -0.11726 0.16576 0.016626 0.067882 0.0090214 0.18444 0.13662 -0.12535 -0.0052112 0.053138 0.060024 0.046313 0.069298 0.0062328 0.26879 0.45186 0.024123 -0.019081 0.026251 0.33468 0.27012 0.056605 -0.045984 -0.13003 -0.25226 0.43519 0.40507 0.86624 0.046741 0.042851 -0.024908 -0.07622 -0.16808 0.99333 -0.048223 0.080931 0.10439 0.12849 -0.4337 -0.006905 -0.40355 0.032357 0.015093 0.039686 -0.3501 0.16694].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.016294 -0.039458 0.0121 -0.16679 -0.080209 0.12153 -0.23235 -0.053346 0.33007 0.032856 0.43794 0.3702 -0.0011567 -0.35416 -0.00078698 0.17583 0.041899 0.035983 -0.48635 0.033047 -0.0098058 -0.16413 0.037261 -0.094367 0.001868 0.053624 -0.032498 -0.090735 -0.023132 -0.019021 0.010962 -0.11615 -0.11601 0.0020549 0.18432 -0.22572 -0.019724 -0.25141 -0.32338 0.029358 -0.0308 -0.02476 0.018515 -0.11422 0.032895 -0.057745 0.02763 -0.48606 -0.76167 0.39214 0.1474 -0.26556 -0.076648 0.0085465 -0.1906 0.017565 -0.070366 -0.03122 -0.20645 -0.066133 0.39259 0.032404 0.63469 -0.17517 -0.0070146 -0.15277 -0.1217 -0.087362].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.025165 -0.043384 -0.0064089 0.27177 -0.2003 0.90665 0.2003 -0.16558 0.047804 0.0034505 -0.1624 0.14086 -0.0076232 0.64169 -0.005843 -0.042105 -0.074084 -0.061917 0.77858 0.046151 -0.0008018 0.31775 0.2454 -0.12791 0.014514 -0.068251 0.028763 -0.0054963 0.13772 0.15297 0.07407 0.10695 0.11038 -0.13201 -0.56841 0.21187 -0.49225 0.038307 0.29338 0.0021202 0.0025112 -0.18842 -0.15643 0.0097016 0.050204 0.02481 0.0083764 0.13007 0.058158 -0.05479 -0.063089 0.2355 0.010378 -0.18957 0.4296 0.23517 0.17813 0.10753 0.2021 -0.12752 0.29409 -0.11172 -0.0011078 -0.042039 -0.14504 0.112 -0.42732 -0.007693].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.095291 -0.033514 -0.13861 -0.29151 0.29575 0.18104 0.012101 0.1309 -0.24006 -0.043261 0.15113 0.071117 -0.13088 -0.07317 -0.011701 0.077628 0.22483 0.020971 0.1241 -0.022382 -0.13677 -0.43702 -0.19548 0.10587 -0.075283 -0.001951 -0.029056 -0.080196 -0.3659 0.066196 0.007108 0.0069038 -0.11678 0.11046 0.59474 0.010218 0.063287 -0.41676 -0.10432 -0.021013 -0.035316 0.095741 0.075401 -0.095216 0.12214 0.10593 0.39503 -0.047595 -0.01203 0.074305 -0.0072089 -0.079391 0.035155 0.33449 -0.16135 -0.61562 0.073267 -0.054002 -0.24407 -0.28352 -0.37728 0.012867 0.242 0.1324 0.15571 0.043308 0.43755 -0.047871].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.053558 -0.23166 -0.11101 -0.3022 -0.064278 0.050444 0.29562 0.19624 0.061462 0.037482 -0.2101 -0.25434 0.1977 0.094196 -0.068797 -0.013768 0.47669 0.031361 -0.044389 -0.0093154 0.14076 0.01743 0.21792 -0.094699 0.082558 -0.0013079 -0.14177 0.11693 0.47915 -0.28174 -0.23727 -0.019273 0.028928 -0.097614 0.16935 -0.0057995 0.38203 0.91121 -0.14906 0.013664 0.091923 0.042805 -0.063698 -0.02726 -0.016748 0.00078334 -0.2259 0.25742 -0.26833 -0.15557 0.070438 0.056512 0.00021796 -0.085109 0.35124 0.26617 -0.25502 -0.085212 -0.064986 0.059912 -0.36401 0.10368 -0.030199 0.10228 -0.14566 0.0031059 0.34883 0.14391].
# Iteration 9:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.19847 0.14027 0.16103 -0.13421 -0.11985 -0.094735 -0.42925 -0.18365 0.10218 -0.0029502 0.22014 0.022236 -3.6617e-05 0.0046938 0.086146 -0.0094094 -0.71389 -0.14738 0.053871 -0.24473 -0.014169 0.40929 -0.13026 0.08567 -0.043796 0.064042 0.13712 0.023627 -0.83032 0.031845 0.15607 -0.069899 -0.012032 0.11827 -0.51975 0.0075498 -0.23021 0.61712 0.17377 -0.0121 -0.0088799 0.1397 -0.050288 0.085775 -0.028348 0.10363 0.24382 -0.069221 0.24615 0.13067 -0.04322 -0.11575 -0.054013 0.16206 -1.2737 -0.19751 0.19318 0.076023 0.38312 0.30472 -1.0765 -0.020018 0.03639 -0.27813 -0.025489 0.0081575 -0.89214 -0.017976].
# Iteration 10:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.13857 0.017073 0.018269 0.21648 -0.0050695 -0.029244 0.29857 0.127 -0.083226 -0.058083 0.0071272 0.044095 -0.22289 -0.017818 -0.12756 0.04604 -0.15931 -0.07031 -0.026336 0.1704 0.011471 -0.022706 0.10592 0.037485 0.031673 -0.0029917 0.039221 0.0016175 0.089977 0.10436 0.020556 0.067793 0.07836 -0.10845 0.40339 0.001278 0.035656 0.34502 0.084779 0.018116 -0.17089 -0.27228 0.20143 0.026189 0.093115 -0.082538 -0.40619 0.2101 0.061589 0.020427 0.026695 0.17941 -0.22309 -0.1077 0.16084 0.082765 0.046748 -0.0011111 0.0026295 -0.2202 -0.051303 -0.0031911 0.022575 0.12562 0.14206 -0.039182 -0.38505 -0.088002].
# 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/R105_d18O_stack.
-------------------------------------------------------------------------------------------
Parallel pool using the 'Processes' profile is shutting down.
Time elapsed = 11091 s