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R99.log
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node103.podcluster
< M A T L A B (R) >
Copyright 1984-2021 The MathWorks, Inc.
R2021b Update 1 (9.11.0.1809720) 64-bit (glnxa64)
November 2, 2021
[Warning: Unrecognized command line option: nospxlash.]
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: 40).
>> Number of workers: 40
>> >> >> >> >> >> -------------------------------------------------------------------------------------------
## 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 [24.1915 23.6258 38.6247 15.0297 14.3179 11.9593 15.3476 6.43095 22.8307 13.422 0.356923 2.40843 12.7081 5.71532 8.02926 -0.395562 8.4671 13.8 8.96035 8.03963 14.4625 8.13853 42.1235 26.9929 17.2127 48.7283 37.3649 9.07703 10.9527 15.6923 20.0287 12.9825 30.073 14.1866 67.3731 14.4433 10.4626 5.49852 27.1694 10.3332 3.87755 24.6632 4.26013 13.849 14.7684 19.5553 12.1376 1.16727 61.3006 12.2652 60.4868 39.757 10.9691 9.20259 8.64855 47.9677 17.8281 19.7729].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.81659 0.024978 2.1752 -0.24854 0.17429 0.083016 1.1963 0.30087 0.45452 0.56739 0.18261 0.27933 0.047525 0.030961 -0.20428 0.020657 1.7253 1.4985 0.49664 0.70352 0.9009 0.066696 0.90641 2.2496 1.1305 1.4433 2.8261 1.3863 3.7589 0.61876 -0.67948 0.29019 3.6052 1.1719 1.1213 -0.43154 -0.21608 0.19835 1.4769 0.45001 -0.39926 1.0037 0.058004 0.88722 -0.2121 0.62405 -0.13092 -0.1329 0.81304 1.2829 2.4726 0.078025 0.21542 0.80125 0.80874 0.51983 0.63777 -0.75528].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.060459 1.1124 0.94603 -0.018364 0.002137 0.16046 -0.034627 -0.11263 0.1566 -0.055849 0.19075 -0.019974 0.008186 0.31162 0.061503 0.12226 -0.15061 0.23712 -0.45452 0.14729 0.2755 1.3374 0.31275 0.32553 0.19115 0.12423 0.014149 -0.18044 0.33478 0.10112 0.070823 -0.21694 -0.095845 1.0681 0.64239 -0.58927 0.12816 0.18668 0.41681 -0.17101 0.49302 -0.21093 -0.00025838 -0.39911 -0.038234 0.33385 -0.13123 0.034085 0.29996 -0.12751 1.0683 -0.76713 0.036507 0.051528 -0.067153 0.494 -0.29779 -0.13882].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11266 -0.092485 -0.027629 -0.14853 -0.0032933 0.023826 0.080672 -0.22777 0.22666 -0.04718 -0.06859 -0.053838 0.082958 0.20164 -0.054672 0.0031683 0.0079547 0.36211 0.29169 -0.004422 0.029305 0.0014478 0.014667 -0.027839 -0.1589 0.052252 -0.006379 0.011133 1.156 0.04118 -0.02176 -0.029625 -0.16486 0.45253 0.011977 0.16769 -0.19157 -0.051986 -0.11663 0.23303 -0.091563 -0.093698 0.032031 -0.045851 -0.062969 -0.013581 0.14223 -0.064304 0.15861 0.056006 -0.15224 -0.095003 -0.080483 -0.34201 -0.19174 0.26402 0.11279 0.020607].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1202 0.019062 0.056789 0.0040989 -0.03111 -0.0235 0.0050825 0.24607 -0.0025131 0.26028 0.18151 0.065127 -0.29601 -0.04411 0.038526 -0.015667 -0.0030499 0.036257 0.046858 -0.0043978 0.14659 -0.052147 0.015744 0.094899 0.17538 -0.052738 0.0067165 -0.25817 0.75829 -0.13681 0.027168 0.029913 0.12821 0.06768 -0.24939 -0.22532 0.20883 -0.039027 -0.1092 -0.061741 0.097588 0.12705 0.0096712 0.080102 0.042651 0.058047 -0.080554 0.047065 -0.28713 -0.20643 -0.22856 -0.057671 0.20957 0.19562 0.1999 -0.028388 0.067665 -0.81367].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.12027 -0.25472 0.11191 0.00058109 0.040694 -0.16778 -0.034232 -0.22625 -0.32746 0.019707 0.10348 -0.056855 0.17805 0.015339 0.016391 -0.073067 -0.018526 0.14578 0.0065782 -0.17874 -0.17375 -0.073716 0.019428 -0.36595 -0.0096779 0.19085 -0.0043136 0.2412 -0.060335 -0.11631 -0.034471 -0.084176 0.056159 -0.030281 0.17155 -0.13203 -0.0047084 0.079643 0.18161 0.06173 0.20585 -0.23549 -0.0024869 -0.090691 0.035418 0.0079709 0.057294 0.014719 0.11978 -0.041108 0.25709 -0.69154 -0.098555 0.15888 -0.034192 -0.065703 0.012866 0.7943].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.067668 0.37389 0.033295 -0.040988 -0.1784 0.18514 0.028615 0.025251 0.33488 0.0063071 -0.084397 -0.064293 0.097409 -0.045868 -0.0084089 0.067043 0.0033608 -0.038121 -0.043889 -0.016361 0.19577 0.1467 -0.027507 0.35238 0.05555 -0.060467 -0.015522 -0.078238 0.11605 0.19625 -0.099625 0.056403 -0.47538 -0.081827 0.055468 -0.067914 0.011744 0.021653 0.0096108 -0.19324 -0.11714 0.20714 -0.031268 -0.15041 -0.013467 -0.026384 -0.10455 -0.13902 0.028597 0.13779 -0.12547 -0.8298 0.23634 0.00033656 -0.52025 0.056358 0.072228 -0.1854].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.14261 -0.089982 0.010868 0.15592 0.1404 -0.12363 -0.0055551 0.19362 -0.22002 -0.18478 -0.19777 -0.031128 -0.084667 0.0047113 -0.0024089 0.023047 -0.0037015 0.064698 0.040191 0.099175 -0.042052 -0.006652 0.032779 -0.33352 0.0021921 -0.13269 -0.037774 0.093182 0.0057554 0.066221 0.14482 0.004394 0.4124 0.20705 -0.32484 0.19986 0.0030238 -0.049165 -0.067682 -0.068334 -0.11172 -0.48671 0.0094693 0.16818 0.010615 -0.011926 0.12582 0.10151 -0.7314 0.027704 -0.17904 0.077059 -0.1786 -0.53501 0.064339 0.092954 -0.11001 0.2155].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12468 -0.53851 0.0080838 -0.068294 0.030231 0.11916 0.0061977 0.041929 -0.51669 0.090082 -0.16637 -0.018021 0.11864 -0.078034 -0.0052787 -0.015236 -0.041131 -0.14252 -0.15705 0.09838 0.058731 -0.031983 -0.11968 0.35149 -0.12677 0.088985 0.044037 -0.010328 -0.077084 -0.22253 -0.037058 -0.14283 0.057069 -0.096601 0.20709 0.23728 0.0031288 0.022849 0.045718 0.28094 -0.14183 -0.06267 0.022768 0.085111 -0.016587 -0.065898 -0.12352 0.032862 0.52376 0.030868 0.18627 0.14822 -0.41759 0.009799 0.15983 -0.010314 0.12403 -0.068196].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.23147 0.36378 -0.032315 0.073499 0.0038181 -0.27007 -0.070132 0.0039536 0.52512 -0.14045 0.45878 0.15487 -0.033436 0.14488 0.015075 0.0073239 0.068416 0.11614 0.046019 -0.018486 -0.023522 0.028065 0.044816 0.011363 0.1852 -0.051793 -0.05569 -0.031366 0.044573 0.037991 0.0043278 0.13605 -0.14033 -0.11134 0.0089277 -0.21325 -0.11466 -0.012088 0.016387 -0.19306 0.30999 0.10027 -0.1048 -0.067283 -0.056481 0.10249 -0.73084 0.0025411 -0.012573 0.06848 -0.056707 -0.012251 0.62724 -0.038221 -0.027897 -0.02255 -0.059569 0.0404].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
do_ypcall: clnt_call: RPC: Timed out
YPBINDPROC_DOMAIN: Domain not bound
do_ypcall: clnt_call: RPC: Timed out
Iteration 4/10...
do_ypcall: clnt_call: RPC: Timed out
do_ypcall: clnt_call: RPC: Timed out
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 [58.95459 47.47907 33.75286 35.67439 21.74858 11.15038 34.90312 16.37968 31.65393 28.28134 19.4869 30.92753 20.03479 7.403567 27.19117 13.09686 6.87629 11.89309 31.9851 29.6907 22.24851 5.83223 39.10156 14.80492 57.05107 143.9811 55.54774 20.07276 432.691 19.53973 15.22512 34.81397 51.59136 55.72488 36.5267 25.06766 25.16839 6.631373 10.58459 28.49593 10.95479 24.17918 17.26494 20.29467 19.57612 18.5073 23.01622 28.77811 120.5662 11.72915 46.91675 31.55429 25.23679 35.40061 31.92603 142.323 36.52606 25.97793].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.0252 1.0967 0.19804 0.49401 0.37616 0.21411 0.37908 0.19123 0.66857 0.37279 1.1126 2.017 0.34315 0.1567 0.19229 0.57424 -0.40266 -0.014058 3.6976 0.87515 0.62125 0.46147 4.1638 -1.097 2.8548 4.2691 4.1317 1.0031 6.5724 0.5669 -0.20184 2.0666 2.44 5.2488 0.68157 2.0528 2.3573 1.0929 -0.4054 2.7077 0.46558 0.60478 0.86733 3.5785 1.446 1.7475 1.9266 0.21671 6.6726 0.3335 1.9776 6.7996 0.23087 2.3217 0.21081 1.9899 0.57874 0.16303].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.043174 1.9838 0.32404 -0.88 0.32117 -0.046638 0.10511 -0.022271 -0.53902 0.09601 -0.065986 0.062851 0.12982 -0.009817 0.0064333 2.0102 -0.12375 0.35155 -0.17498 0.0069741 -0.0095622 -0.015154 0.32629 0.2365 0.38209 2.7789 -0.33051 -0.15575 -0.25317 -0.33068 -0.046779 -0.079909 -0.10455 0.73413 0.23511 -0.19424 -0.10915 0.082025 -0.17724 0.3711 0.34236 -0.15639 0.029552 0.0029507 0.24137 -0.5219 0.1424 0.33171 -0.61167 0.14459 0.29147 0.34183 -0.47963 0.17526 -0.051211 2.8856 -0.18958 0.025068].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11561 -0.14629 -0.0012251 -0.064487 0.020241 -0.04058 0.11392 0.27177 -0.18008 -0.035224 -0.016227 0.063643 0.022729 0.082636 0.64409 -0.092643 -0.01361 0.0023682 0.0071034 0.42205 -0.39068 -0.24831 0.57501 0.046652 -0.60823 -0.055009 -1.0679 0.052588 0.44006 0.032965 -0.10861 0.014478 0.0028449 0.14309 -0.31233 -0.04005 0.013818 0.31627 -0.10897 0.30835 -0.067525 0.12732 0.028824 -0.013145 -0.034956 0.034309 -0.041297 0.20461 0.38914 -0.044388 1.1745 0.37252 0.019702 0.18539 -0.18679 0.17763 -0.148 0.21087].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.077004 0.11902 0.077146 0.0046126 0.0040671 0.03922 0.10067 0.053496 0.086436 0.0077479 0.33066 0.034815 0.0020191 -0.082101 -0.12985 -0.21234 -0.074399 0.39671 -0.059446 0.049854 0.43349 0.11094 0.5401 0.037792 -0.045848 0.099449 0.0084415 0.092401 -0.055492 -0.02039 0.030232 0.05456 0.014468 -0.039354 0.6705 -0.24552 -0.0075911 -0.087602 0.14594 -0.19498 0.034173 -0.12638 -0.097329 -0.068077 0.035257 -0.067605 0.047561 -0.057403 -0.056524 0.059212 -0.2391 0.17106 0.066564 -0.0069827 0.21796 -0.20879 0.066061 -0.1163].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.33594 -0.031097 0.031033 -0.21054 -0.046129 0.054236 0.10768 -0.083928 0.13147 -0.00012643 0.012336 -0.084717 0.0010512 -0.013958 0.16997 -0.1728 0.024479 -0.37589 -0.10461 -0.090653 0.054198 0.12105 0.14302 0.036878 0.020747 -0.074306 -0.20946 -0.19935 -0.13724 -0.027912 -0.37386 -0.018698 -0.0023968 0.035127 -0.041559 0.076948 -0.025897 0.12871 -0.05369 0.17914 -0.0058992 0.12091 0.35821 -0.056952 -0.042347 -0.27397 -0.029327 0.010968 -0.5189 0.00017318 0.066736 -0.015112 0.017761 -0.0014024 -0.82339 -0.26673 0.031633 0.075834].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.082023 -0.10691 -0.37367 0.21242 -0.04049 0.11179 -0.29473 -0.023071 -0.0070677 -0.010203 -0.13351 0.082194 -0.093542 0.11234 0.3519 -0.022675 0.048778 0.12333 0.16355 0.085322 -0.012209 -0.038291 -0.49984 0.0072311 0.020857 -0.10669 0.25319 0.12544 0.13024 0.050818 0.18834 0.021233 0.00099273 -0.092266 -0.16768 0.32502 0.019347 -0.26401 -0.096917 -0.32928 -0.18705 -0.00016091 -0.80869 0.11095 0.04058 0.48865 0.027816 0.0065374 -0.33947 -0.002289 0.0093991 -0.032035 0.041213 0.00744 0.0082635 0.40744 0.060721 -0.20302].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.46051 0.17594 0.40755 -0.0325 0.086079 -0.026267 0.21515 -0.016664 -0.093269 -0.03121 0.090792 -0.051447 0.081542 -0.2951 -0.61008 0.16976 -0.017802 0.27523 -0.029643 -0.41037 -0.35977 0.023281 0.49728 -0.024232 0.0082086 0.10279 0.00032618 -0.082246 -0.016861 -0.1023 0.34687 0.002765 -0.16822 0.13744 0.15179 -0.97673 -0.65231 0.30012 0.20837 -0.05459 0.011894 -0.2407 -0.055688 -0.12165 -0.15195 -0.76864 -0.11251 -0.0053328 0.20307 -0.02928 -0.47058 0.02617 -0.020161 5.6447e-05 -0.0094909 0.066836 0.064976 0.22137].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.12752 -0.013189 -0.25158 0.037698 -0.0039445 -0.17042 0.0042048 0.0044002 0.040083 0.046973 -0.12407 0.0082779 0.0042185 0.30431 -0.67902 -0.15319 -0.053063 -0.25349 0.021374 0.11711 0.16902 0.023494 -0.49929 0.0038907 -0.18377 -0.40283 -0.062795 0.11914 0.085906 0.11409 0.069652 -0.18621 0.15976 -0.099037 -0.17197 -0.53292 0.15761 -0.3951 -0.18558 -0.055818 0.13465 0.2212 0.091473 0.14443 0.084151 -0.78622 0.11964 0.03579 0.04324 0.017786 0.46767 0.03031 0.0071103 -0.14998 0.012175 -0.090902 -0.046616 0.076985].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.013374 -0.11796 0.052635 -0.038154 -0.021869 0.15652 -0.31716 -0.13857 -0.037004 -0.035265 0.047378 -0.093308 -0.024117 -0.0038332 0.055594 0.3078 -0.012293 0.17954 -0.027727 0.21037 0.083215 -0.14517 0.39906 0.0075564 0.16769 0.44404 0.071135 -0.38018 0.00060424 -0.15381 -0.095704 0.18645 0.0024803 -0.099105 0.14611 -0.43282 0.036522 0.33923 -0.020468 -0.093648 -0.2582 -0.054149 -0.01119 -0.045591 -0.0067566 -0.047042 -0.010769 0.0087415 -0.42231 -0.081316 0.012107 -0.011714 -0.19401 0.15977 -0.067264 0.095289 -0.35407 -0.21412].
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 [0.24509 -0.40792 0.46327 -0.17035 -0.056107 0.023679 0.035944 0.098505 -0.98168 0.26689 -0.14937 -0.22919 -0.11895 -0.28659 -0.0068384 0.0025839 -0.13992 1.2196 0.099124 0.14147 0.32738 0.104 -0.056234 -0.13545 -0.093124 0.42463 0.21827 0.98594 3.2152 0.49633 0.0078647 0.47305 0.2845 -0.089475 0.13551 0.075056 0.02369 0.05387 0.11084 -0.238 0.82909 -1.0903 -0.11868 0.55408 0.10042 0.068415 -0.16235 0.47229 0.59953 0.15575 -1.0256 0.55717 0.27812 -0.034562 0.55502 0.81477 0.089106 -0.17724].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.4126 -0.0086542 -0.023125 -0.04495 -0.011937 -0.083152 -0.026994 -0.09823 0.25614 -0.18084 0.1238 -0.051395 -0.15132 0.015445 0.67279 -0.002467 -0.092085 0.37293 0.004113 -0.046168 -0.22371 -0.041439 0.043676 0.12337 -0.031206 -0.4238 0.0069513 -0.068163 -0.024352 -0.092244 0.077637 0.29441 0.28635 0.0022042 0.28122 0.060901 0.047878 -0.043532 0.01414 -0.31134 0.049566 0.0023907 0.79703 0.12643 0.00088861 0.24492 0.03287 0.15316 0.10361 -0.14382 0.041641 0.027203 0.12446 0.31644 0.04617 -0.1124 -0.4426 0.037273].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.20877 -0.014622 0.050611 -0.096062 0.14196 -0.053197 -0.59961 0.11545 -0.30463 0.1013 0.057244 0.055145 -0.016666 0.0083982 0.19427 0.19931 0.017648 0.088807 0.08156 -0.026386 -0.3017 -0.010047 -0.20618 -0.035274 0.067897 -0.046485 -0.087117 -0.4412 0.0080153 -0.02594 0.11199 -0.052557 -0.13673 -0.25676 0.27842 -0.73415 -0.25907 0.019204 0.0010052 -0.060819 0.053305 -0.024696 0.0068768 0.3289 -0.09166 -0.075812 0.32718 -0.0083232 0.11496 -0.088187 -1.1599 -1.0331 -0.0049844 0.01756 -0.010425 0.62985 0.84751 -0.004609].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.097478 0.15691 -0.031605 -0.034541 -0.0017436 -0.060716 0.14169 0.14212 -0.50167 0.39714 0.24696 -0.018455 -0.0095034 -0.041177 0.22509 -0.01121 0.16433 -0.50862 0.031888 0.0251 -0.14508 -0.027841 0.21608 -0.69384 0.20503 0.51822 0.13194 0.050027 -0.52078 -0.0046534 0.11272 0.023019 0.059503 0.030944 -0.35381 -0.47297 -0.07169 -0.92208 0.0032953 -0.0038063 -0.89607 -0.0065375 0.11349 -0.028303 0.03872 -0.071897 -0.010095 -0.0036565 0.4199 -0.068008 -0.051522 0.34445 0.043505 -0.013371 4.0237e-05 0.31879 -1.6033 0.076624].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.051694 -0.031929 -0.12309 0.089545 0.040733 -0.10089 -0.15024 0.03821 -0.48871 0.17536 0.053369 0.050853 0.026243 -0.0063052 -0.66648 0.08616 0.27505 0.31098 -0.099332 6.0256e-05 0.056848 -0.019965 -0.0011835 0.093503 -0.60265 -0.15597 -0.165 0.015266 0.028718 -0.0042523 0.036622 0.001143 0.057065 -0.0051663 0.18644 0.53226 -0.17172 -0.15235 0.010326 -0.013711 0.032244 -0.078223 -0.092192 0.028172 -0.044858 0.024134 0.0037806 0.20669 -0.038754 0.1249 -0.038475 -0.24464 -0.011695 0.012482 0.0070184 -0.02641 0.7739 -0.16515].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.023484 0.0065976 0.017023 -0.11337 -0.041847 0.10384 -0.21816 -0.30542 0.10503 -0.021724 -0.49275 0.43483 -0.11832 -0.12558 0.23407 0.050281 -0.57245 0.037438 -0.024261 -0.053931 0.0015857 0.21178 -0.12026 0.0045059 -0.19038 0.15555 -0.084492 -0.056913 -0.075693 -0.18084 -0.13982 -0.0011029 0.0054229 0.0066797 -1.7264 -0.10832 0.2437 0.046591 -0.044919 -0.0091167 -0.043291 0.023369 0.022962 -0.21883 0.039757 -0.23321 -0.059974 -0.021528 0.0021633 8.2493e-06 0.085968 0.26105 -0.039569 -0.0039245 -0.0005641 0.087527 -0.011663 -0.1874].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.28993 -0.80937 0.12759 0.12492 -0.2181 0.076533 -0.14729 0.030362 0.3 -0.04258 0.53158 -0.56081 0.12304 0.1322 -0.14761 -0.1232 0.17552 -0.012531 0.062636 -0.14971 0.079435 -0.24636 -0.15149 -0.082521 0.32862 -0.12641 -0.051971 0.039833 0.067008 0.089487 0.052843 -0.038104 0.041127 -0.039205 -0.45205 0.11201 -0.012126 -0.17602 0.032878 0.02215 0.052295 0.070406 0.044205 0.12659 -0.11793 0.16005 0.020901 0.032042 -0.20201 -0.096005 -0.0043005 -0.10063 0.097844 -0.065173 -0.089985 -0.10437 -0.086864 0.34207].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.27695 0.60666 -0.018736 -0.15785 0.14737 -0.048563 0.30555 0.43611 -0.21097 -0.40163 0.3834 -0.11156 -0.028518 0.093907 0.19921 0.15297 0.10636 0.0046336 -0.044143 0.18442 -0.12648 -0.14977 0.24306 0.28891 -0.19599 0.11383 -0.091151 -0.014633 -0.076321 0.091021 -0.0033897 0.00062067 -1.1242 -0.18099 0.45361 -0.027197 -0.085019 0.29478 0.0042422 -0.19257 -0.08515 -0.018872 -0.18543 0.08617 -0.1555 -0.022107 -0.15159 0.020155 0.22483 0.1011 -0.34954 -0.20067 -0.11572 0.032262 0.00030286 0.057853 0.094028 -0.09099].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13515 -0.20899 0.019663 0.16483 0.046401 0.047091 -0.061739 -0.40632 0.064387 -0.22136 0.16665 0.033277 0.016478 0.0068587 -0.019927 -0.38552 -0.064168 -0.014887 0.084741 0.027115 0.1349 0.12605 -0.15993 -0.17271 -0.20327 0.0035387 0.30755 -0.087889 -0.015788 -0.0081545 -0.046475 -0.19689 0.23663 0.21839 0.015979 0.033831 0.052357 0.0055946 0.0083866 0.17628 0.10155 -0.0052611 0.23699 0.0017371 0.27226 0.064746 0.19708 0.083802 0.0089902 -0.085346 0.3046 0.28534 -0.01582 -0.47174 0.089543 0.089706 -0.072791 -0.21002].
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 [0.0087663 0.19969 0.005065 0.22083 -0.044148 -0.13685 0.017256 -0.06289 -0.062754 -0.12894 0.02693 0.11577 -0.06172 -0.33424 -1.7251 0.001125 -0.072098 0.70116 0.090439 -0.060775 0.22681 -0.14866 -0.022763 -0.27304 -0.047187 0.25293 -0.033954 -0.19455 -0.10037 0.033639 0.32848 0.022015 0.1032 -0.07466 -0.11388 0.02034 0.24368 -0.0057626 -0.11766 0.0051406 0.10891 0.10529 -0.13259 0.033499 -0.0068112 0.37054 -0.089377 0.26849 -1.3813 -0.14491 0.37196 -0.096366 -0.043205 -0.12828 0.043578 -0.035276 0.2225 0.14397].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.014496 -0.67345 0.04239 0.0071318 0.080934 -0.025311 0.10439 -0.079233 -0.46195 -0.12777 -0.19013 0.0039238 -0.13081 0.014478 0.016555 0.11113 0.077517 -0.17397 -0.18468 0.081515 0.0059832 0.44792 0.0075747 0.11562 -0.040811 0.53146 0.0075013 0.21654 1.328 -0.091682 0.48133 -0.10301 -0.21716 0.36819 -0.18861 -0.087223 -0.026156 0.045369 0.057679 -0.40314 0.05842 -0.22958 -0.12765 0.025805 0.0024884 0.12152 0.057663 -0.034472 0.12052 0.23435 0.71313 -0.083182 -0.31399 0.2123 -0.13999 0.13457 0.046144 0.069656].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0016917 0.44139 -0.6856 0.0087612 -1.22 0.15937 -0.57947 -0.0181 -0.14826 -0.056643 0.082196 0.011503 -0.0025913 0.094692 -0.033154 -0.24677 -0.16447 0.73788 0.13188 -0.010789 0.30554 -0.50784 -0.16143 0.0018956 -0.035896 -0.0073744 0.080561 -0.22128 0.35224 0.13273 0.02883 0.33251 -0.077817 -0.012943 -0.042933 0.027235 -0.096222 0.11987 0.0051293 0.31708 -0.034784 0.3951 0.054622 0.57145 -0.033861 -0.022912 0.21285 -0.018937 0.028926 -0.039369 0.040974 -0.12884 -0.43611 -0.28206 0.067618 0.0027046 -0.081818 0.037063].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12083 0.25386 0.20847 0.10019 0.22794 -0.0087589 0.073131 -0.017586 -0.052008 -0.066833 0.14521 0.01362 0.015619 0.053195 1.0458 -0.022059 0.041813 -0.0397 0.10229 0.033666 -0.92152 -0.00048497 -0.0042326 -0.013152 -0.10495 -0.0024941 0.24622 0.12567 -0.10266 0.074313 -0.25972 -0.26361 0.37168 -0.039424 -0.27635 -0.11264 -0.010693 -0.073936 -0.020196 -0.033834 0.0054311 0.020207 0.38798 0.39444 0.054082 -0.002688 -0.053007 0.065083 0.042222 -0.12372 -0.17014 -0.47001 -0.058668 -0.33033 0.002148 0.4098 0.40216 -0.35324].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.22513 -0.10635 -0.18914 -0.0041118 -0.72714 -0.11904 -0.047697 -0.13837 -0.026502 0.065775 0.2553 -0.22444 -0.168 -0.1897 -0.26252 0.045288 -0.021735 0.061587 -0.35602 -0.0093174 0.0018733 -0.018265 0.14646 0.0089256 -0.054932 -0.1007 -0.23109 0.011449 0.091874 0.084151 0.11251 -0.01995 -0.49534 0.029382 0.38018 0.23876 -0.24043 0.050602 0.034779 0.053625 0.039457 -0.10898 -0.3907 0.052045 -0.020655 -0.099813 -0.12323 -0.0050834 -0.12825 0.072899 -0.10946 0.25009 -0.19003 0.25204 -0.016177 0.081477 -0.49564 0.30514].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.07055 -0.036862 0.0017935 -0.23377 0.0029777 0.049678 0.0044286 0.15216 0.016364 0.032095 -0.19637 0.21742 0.093524 0.15996 0.22291 -0.0008357 0.014516 -0.11757 -0.16218 -0.069465 -0.040539 0.019064 -0.33177 -0.14121 0.077068 0.090254 0.15288 -0.015139 -0.056158 -0.12076 0.029633 0.13166 0.50176 -0.096052 0.11088 -0.30347 0.1094 0.021817 0.001818 0.0074217 -0.060768 0.087996 -0.28297 -0.52409 -0.033723 0.105 0.19022 -0.34301 0.10714 0.069297 0.65742 0.19386 0.057604 0.12195 -0.012678 -0.0085322 0.71966 -0.19731].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17026 -0.10075 -0.14897 0.16883 -0.014054 0.029028 -0.11755 0.028279 -0.014804 0.052615 0.022152 -0.019895 0.11379 0.00078239 -0.1589 -0.047174 -0.042882 -0.17163 0.54966 0.073732 0.03528 -0.11528 0.20984 -0.26647 -0.61529 -0.041406 0.029257 -0.092457 -0.24748 0.086988 -0.08243 0.096616 0.062453 -0.1016 -0.40228 0.40076 0.060501 -0.017373 0.0014817 -0.1937 -0.12404 -0.0043104 -0.22913 -0.076808 -0.033294 -0.019578 0.013349 0.25923 0.043993 -0.17224 -0.021577 -0.40626 0.15755 -0.43443 -0.013626 -0.024481 0.061355 0.13986].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.098093 -0.10922 0.59959 0.016196 0.010609 -0.056817 0.10256 -0.083511 -0.034726 -0.15826 0.25555 -0.18199 0.047549 -0.15221 -0.12998 0.037086 -0.0062979 0.18793 -0.14746 0.0053022 -0.009666 0.021753 -0.56513 0.41008 -0.039816 -0.17774 0.049399 0.1065 0.40718 0.017008 0.19149 -0.02642 -0.019573 0.19212 0.40958 0.050299 0.04679 0.018999 -0.015239 0.082665 0.18272 0.030249 0.28547 0.26611 -0.022831 -0.0048544 0.007208 -0.038897 0.017465 0.1694 -0.03396 0.23919 -0.094593 0.28276 0.035914 -0.014558 0.21174 0.011329].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.094304 -0.28028 0.072647 0.057874 -0.081123 0.034225 -0.20241 0.072699 -0.16367 -0.06212 0.18905 0.20409 0.0035725 0.038644 -0.068976 -0.0097745 0.062709 0.020156 -0.42572 -0.044513 0.0097427 -0.030323 -0.29874 -0.004905 0.4347 0.23073 0.013767 -0.0027711 0.033336 -0.10117 0.27083 0.15625 0.024248 6.5681e-05 -0.34383 -0.27244 -0.96972 -0.0068282 0.0075955 0.16422 -0.17783 -0.17411 0.64798 0.088641 0.1176 0.012237 0.035423 0.12343 0.022564 -0.029994 0.088458 -0.028957 0.10232 -0.069203 0.000301 -0.30958 0.59389 -0.10198].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.27014 0.70354 -0.29331 0.00034578 0.057362 -0.0061933 0.25332 0.019777 -0.00021389 -0.44399 -0.61493 -0.11686 -0.29747 0.13465 0.38378 -0.0089514 -0.019016 0.072569 0.048424 0.042118 1.2779e-05 -0.087367 0.36558 -0.00090616 -0.48822 -0.014104 -0.048957 -0.0016004 -0.27553 0.11732 -0.0044336 -0.10939 -0.42923 -0.050912 0.33607 0.17087 0.76664 -0.019665 0.0031591 -0.014004 0.17687 0.14757 -0.09789 -0.78794 -0.046115 -0.0086718 -0.006898 -0.03436 -0.027996 0.026058 -0.12132 0.08099 -0.16667 -0.25149 -0.21189 0.34739 0.12025 -0.21833].
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 [0.050448 0.07068 0.072256 -0.36701 -0.34557 -0.54998 0.27467 -0.027435 -0.11169 -1.2548 -0.045601 0.13773 -0.27742 0.068102 -0.73597 0.045047 -0.054194 0.43219 0.13357 -0.55019 -0.24883 -0.096757 -0.53464 0.087665 0.037836 -0.23725 0.50368 -0.48012 -0.11595 -0.017478 -0.43258 -0.070609 0.37117 -0.2552 0.16252 -0.18806 0.021804 0.0056608 0.16748 -0.24607 -0.14861 -0.35024 0.020215 -0.13156 0.045291 0.34611 -0.069763 -0.097332 -0.60506 0.10331 -0.035595 -0.17036 0.13826 -0.048125 0.17654 0.61057 0.09314 -0.34807].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.078135 0.39462 0.056926 -0.071716 -0.16935 -0.038158 -0.12739 0.20672 -0.013735 0.1266 -0.048245 -0.090338 0.13732 0.0031116 0.15579 0.40848 -0.053263 -0.032401 -0.14756 -0.69902 0.016883 -0.031733 0.23453 0.034641 0.22125 -0.97504 0.15388 -0.25953 1.9142 0.13619 0.0093846 0.27889 -0.0068687 -0.083303 0.1021 0.12083 0.17574 -0.17107 0.0063154 0.10915 -0.078539 0.058663 -0.13884 0.14206 0.025209 -0.21693 0.25675 -0.20353 -0.040682 0.05738 -0.7413 -0.054951 -0.015908 0.020293 -0.00864 0.15396 0.005091 -0.068318].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.21554 -0.1193 0.023882 -0.17104 -0.060466 -0.15571 -0.29768 0.12515 -0.66012 -0.2042 -0.068746 0.022769 -0.014569 -0.1095 0.076107 0.082812 0.088119 -0.13003 0.028707 0.28037 0.26013 0.19958 0.055689 0.036663 0.22791 0.013302 0.16183 0.30028 0.58162 0.004448 -0.071735 0.22581 0.13303 -0.80067 0.017798 -0.049563 -0.050985 -0.031623 0.00080532 0.041596 -0.030806 -0.0037903 -0.40461 0.078821 0.29183 0.042688 0.062152 0.079114 -0.39415 0.089844 -0.12332 0.019414 -0.076415 -0.38344 -0.09405 0.067031 0.037836 -0.077773].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.23011 0.31975 -0.039862 -0.010662 -0.49976 0.010964 0.70559 -0.15755 0.44113 -0.045162 0.038562 0.038873 0.048801 -0.080201 -0.036259 0.033778 0.0094085 0.049623 -0.06934 -0.4169 -1.2012 -0.375 0.025066 0.45613 0.074165 0.11088 -0.2435 -0.08868 -0.10833 -0.19464 0.077208 -0.14065 0.21828 0.018901 -0.18065 -0.080317 0.1765 -0.16 0.010887 -0.15704 -0.029707 0.36407 -0.29063 0.034083 0.015518 -0.12021 -0.044236 0.11655 -0.0059338 0.011155 -0.23408 0.15796 0.14434 0.019696 0.0054645 0.25167 0.028238 0.17149].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.31525 -0.047487 -0.25739 0.029196 0.11078 0.017425 -0.034181 0.066545 -0.067562 0.055462 -0.050108 -0.053216 -0.10698 -0.011823 -0.007069 0.01096 -0.0015583 -0.0041818 -0.64493 0.33367 -0.80499 0.43523 -0.011454 0.065352 0.03379 -0.027689 0.1992 -0.020163 0.052869 0.17872 0.069196 0.30275 -0.012365 0.013975 0.1259 -0.46361 0.15763 0.062454 -0.072756 -0.2413 -0.068098 0.2408 0.26265 -0.078295 -0.24855 0.19777 -0.022599 0.027813 -0.09096 0.23394 0.37291 -0.31439 -0.20308 -0.020964 0.049658 -0.034624 -0.039803 -0.38921].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.68408 0.0039402 0.23596 -0.081515 0.26179 0.0084299 0.034273 0.11437 -0.0052102 -0.026896 0.086411 0.056814 0.097991 -0.058416 -0.093674 0.0051224 0.0059057 -0.051225 0.0068127 -0.049792 0.15222 0.24912 -0.091843 -0.83303 -0.052756 -0.14091 -0.78813 0.094403 -0.01619 -0.055255 0.012225 0.018234 -0.036111 -0.066395 0.07496 -0.29093 -0.1059 0.02615 -0.11659 0.3657 0.00088186 -0.020342 0.070459 -0.23783 -0.020962 -0.012056 0.068362 -0.017992 0.022263 -0.20687 -0.35895 -0.87365 0.16803 0.02917 -0.021346 -0.076272 -0.040072 0.23327].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.25242 -0.22653 0.069842 0.1008 0.016369 0.016256 -0.0022206 -0.057163 0.089909 0.0059266 -0.00085101 0.029079 -0.023206 0.071749 -0.031193 -0.11133 -0.10895 0.063592 0.012573 0.031292 -0.93928 -0.24679 -0.12859 -0.21711 0.060446 0.1029 0.76519 -0.00941 -0.24813 -0.26134 -0.011378 -0.036909 0.071052 -0.069213 -0.018297 0.79611 0.26149 0.082176 0.059913 0.058662 0.014303 -0.063065 -0.28307 0.31331 -0.10501 -0.52553 -0.039219 -0.0085147 0.035297 -0.16326 0.44364 0.02267 -0.13157 -0.0086141 -0.072602 0.13963 0.10383 -0.10016].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.27177 -0.32207 -0.029014 -0.030352 0.033874 -0.059536 -0.0068571 0.033603 -0.0021025 -0.037454 0.0026227 -0.15543 -0.16366 0.016147 0.11803 0.092455 0.098163 0.0025738 0.012311 -0.016378 -0.07704 0.28132 0.33842 0.30432 -0.048259 0.10586 -0.069186 0.007136 -0.071955 0.13115 -0.013232 -0.078143 0.0017388 -0.069386 0.0018268 -0.76724 -0.23773 -0.15764 0.30978 -0.041383 0.062977 -0.41564 0.27972 -0.063937 -0.55072 1.4771 -0.2225 -0.12992 0.043906 0.21512 -0.00012451 0.025566 0.074612 -0.44183 -0.20861 -0.020959 -0.010038 0.25722].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1439 0.46857 -0.072321 -0.0038706 -0.33623 0.038896 -0.00040899 0.016018 0.0044413 0.043262 -0.032403 0.13558 0.19749 0.0032184 -0.20905 0.026148 -0.017044 -0.00099412 -0.058161 0.12163 0.27304 -0.42224 0.0044223 0.038327 -0.018438 -0.13172 0.1114 -0.041825 -0.14985 0.2523 -0.050236 -0.076878 -0.22884 0.19716 -0.035151 0.33448 0.59445 0.013324 -0.2417 0.042922 0.0044943 0.51823 -0.50823 0.061604 1.0129 -0.013734 0.24769 0.16193 -0.16301 -0.16136 0.001702 0.15271 -0.31237 0.41933 0.30736 -0.17642 0.016273 -0.0016945].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.25602 -0.052843 0.10824 -0.078558 0.053448 0.026129 -0.04158 0.0010909 -0.0035923 -0.080085 -0.096665 0.018913 -0.059027 -0.022047 0.23286 -0.035655 -0.040178 -0.062396 0.027905 -0.040581 0.00043522 0.30008 -0.0019518 -0.16495 0.053628 0.11938 -0.12892 0.012459 0.4287 -0.023152 0.0013864 0.01069 0.16379 -0.13836 -0.34124 -0.28967 -0.35685 0.030714 -0.089304 -0.047989 0.011071 -0.0018994 -0.98012 -0.029433 -0.2803 -0.20328 -0.00026517 -0.06593 -0.18741 0.26268 -0.012783 -0.13027 0.29736 -0.1156 -0.0036528 0.07399 0.0031739 -0.16419].
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 [0.10853 -0.33838 -0.17081 0.016945 -0.13702 0.05704 -0.088381 0.28842 0.013028 0.088576 -0.3072 -0.02245 0.13552 0.13045 -0.38184 0.22252 0.12183 0.28123 0.1537 0.053199 0.1309 -0.077497 0.36164 0.24509 0.078913 0.10444 -0.30071 0.025914 -0.036587 -0.10873 0.39456 -0.044195 -0.24173 0.036424 0.18224 -0.23743 -0.17915 -0.039571 -0.061519 -0.43051 -0.12728 -0.29933 0.21329 -0.42449 0.1696 -0.19149 0.037165 0.30621 0.70897 -0.043512 0.0073319 -0.28656 -0.014998 0.12541 0.48679 0.26783 -0.25522 -0.050364].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.036822 -0.018414 -0.79678 0.092896 -0.84043 -0.4825 0.24246 -0.14647 -0.10694 0.23676 -0.31206 0.038765 -0.32013 0.58538 -0.06406 -0.097217 -0.17528 0.44581 0.033017 0.03572 -0.045788 -0.098815 0.07166 0.16627 1.2051 -0.10813 0.23959 0.090271 1.8555 -0.0057874 -0.020335 0.11325 0.11886 0.44491 0.091071 0.0067435 -0.10969 -0.0087399 0.01888 0.0069598 -0.14881 -0.58135 -0.091161 -0.54833 0.015836 -0.76517 -0.021378 0.046559 0.6006 -0.022593 0.044901 0.088195 0.11294 -0.040211 0.1234 0.047437 0.23024 -0.48681].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.32136 0.6664 0.37001 0.0072011 0.14781 -0.010476 -0.09958 0.024986 -0.020798 -0.10955 0.03943 0.32603 -0.23251 -0.14557 -0.017708 -0.016915 0.0069551 0.072326 -0.013406 -0.022848 -0.17955 0.049734 -1.857 -0.059322 -0.037356 0.2288 0.18274 -0.024605 -0.56729 -0.1416 0.03361 0.022137 0.48012 -0.21709 -0.013821 0.0775 0.034859 0.056483 -0.083073 0.10422 -0.27423 0.11584 -0.016819 -0.15618 -0.01378 -0.35776 0.34918 -0.11978 0.14645 -0.15075 0.36482 0.058927 -0.053636 0.11537 -0.018959 -0.21399 -0.026586 0.012911].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.14947 0.04673 0.091921 0.14188 0.041069 -0.018486 -0.0062088 0.24506 -0.098855 -0.1482 0.21046 -0.087731 -0.080241 -0.16955 -0.08273 -0.0202 -0.090748 0.10424 -0.052124 -0.21023 -0.12771 0.017709 0.73444 -0.51079 -0.051963 -0.12906 -0.16538 0.09974 -0.32496 0.043386 0.044002 -0.18248 0.44335 -0.017609 0.076988 -0.032353 -0.0082365 -0.57435 -0.03536 -0.19915 -0.0085321 0.12489 -0.050314 0.029613 0.13476 0.34498 0.0010887 0.13562 -0.0035315 0.068946 0.61813 -0.32568 -0.37482 -0.026456 -0.20362 0.1569 0.12009 0.016068].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.22044 -0.039648 -0.012036 -0.13334 0.0043708 -0.022378 0.0062298 0.15412 0.068622 -0.45212 0.17654 0.081452 0.067022 0.22106 0.31791 -0.058927 0.010871 -0.00010904 0.10221 0.3595 -0.034214 0.13791 -0.20256 0.053694 0.059451 -0.50817 -0.00077623 -0.14096 -0.17283 -0.069921 -0.03134 -0.37365 -0.11708 -0.003497 0.081382 -0.29601 -0.18557 -0.21762 -0.11266 0.18148 0.20278 0.10002 0.14586 -0.079323 0.083896 -0.49443 0.047884 0.22389 -0.051906 -0.41142 0.081343 0.52861 0.30852 0.20013 0.17825 -0.028596 -0.055747 -0.021381].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12983 0.029566 -0.27579 -0.045059 0.0076164 0.098959 -0.0095847 -0.27584 0.048775 0.45813 -0.55709 -0.010718 -0.042608 -0.046981 -0.1606 0.045341 0.01367 -0.11843 -0.10484 -0.60393 0.080211 -0.25303 0.27698 -0.013721 -0.028199 0.10681 0.19311 -0.16653 0.25536 -0.19682 0.043859 0.54683 -0.12219 -0.13893 -0.061995 0.20538 -0.1698 0.075715 -0.086763 -0.15648 -0.12625 -0.68775 -0.16293 0.092265 -0.013431 0.48832 -0.0056633 -0.038783 -0.30524 0.40162 -0.38679 -0.9801 -0.050606 -0.18496 -0.040296 -0.19345 0.058989 -0.15323].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17446 -0.3805 0.19024 -0.39711 -0.037407 0.03612 0.0049865 0.27558 -0.41858 -0.40794 0.24514 -0.0053581 0.037892 -0.0057373 0.17932 -0.24956 0.0010816 -0.034348 0.078676 -0.1236 -0.046944 0.19916 -0.378 0.079677 -0.12176 0.0069421 -0.23232 0.43841 -0.21047 0.18931 -0.03876 0.24446 -1.1451 0.11312 0.074082 -0.11163 0.046702 0.14641 0.1702 -0.30674 -0.041465 0.52783 0.13868 0.0084488 0.012646 -0.092805 0.003442 -0.24484 0.10269 -0.079838 0.12688 -0.085622 0.011027 0.15554 0.022908 0.212 -0.037792 0.14686].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.47779 0.40684 0.05926 0.24778 -0.024025 0.0053417 -0.019498 -0.15138 0.32958 0.076654 -0.065808 0.017945 0.0088102 0.27792 -0.060873 0.25402 0.0079568 0.16112 -0.032842 0.14755 -0.10981 0.071029 0.25961 -0.25242 0.095503 -0.04171 0.18637 0.047377 0.46128 0.014206 -0.061999 -0.13142 -0.26478 0.024861 -0.053774 0.19615 -0.059444 -0.09313 -0.0030893 0.64583 -0.49991 0.25063 0.024317 -0.168 -0.19256 -0.28001 -0.1082 0.023163 0.30444 0.058483 -0.30819 -0.034679 -0.14155 -0.38644 -0.0012918 0.031329 -0.11252 -0.11291].
# Iteration 9:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.38773 -0.049709 0.029926 0.072615 0.066826 -0.044934 -0.011091 0.088968 -0.12322 0.14052 -0.14599 -0.0010141 -0.025498 -0.035415 0.059174 -0.023921 0.0078763 -0.01757 -0.22212 -0.20456 0.12696 -0.034052 0.04308 0.27546 -0.15008 -0.070595 0.068988 -0.043756 -0.37491 -0.16865 0.089122 0.0096484 0.46442 -0.066375 -0.028003 0.22918 -0.21817 0.036473 -0.13506 -0.13228 -0.67966 0.013544 -0.0019334 0.013926 0.040596 0.11118 0.11901 0.16022 -0.089162 -0.027001 0.083311 -0.19899 0.26776 -0.1131 0.026947 -0.047685 -0.012966 0.0095057].
# Iteration 10:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.018618 0.010929 -0.026786 -0.34309 -0.01632 -0.12044 0.02983 -0.26239 0.063861 0.59669 0.00081211 -0.14078 -0.019277 -0.31458 -0.69268 -0.010372 -0.025499 0.0093891 0.23054 0.11242 -0.014893 -0.1351 0.02811 -0.19322 0.20548 0.11745 -0.01218 -0.43388 0.41422 0.16267 0.0025467 -0.27447 -0.015628 0.069892 -0.1886 -0.35494 0.59399 0.010054 -0.095364 0.15359 0.13975 0.24986 -0.051664 0.15738 0.11154 -0.33513 -0.065112 0.16083 0.088241 0.053115 0.42705 -0.36725 -0.013799 0.25262 -0.025223 0.033013 0.14893 0.076856].
# Parameters are learned. Sampling algorithm is now running...
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# Results and figures are being stored...
Done.
Results and figures are stored in Outputs/R99_d18O_stack.
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