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R87.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 [31.20184 14.06026 22.10055 4.666039 12.54635 15.62268 14.91052 4.268799 7.731503 91.49586 16.65385 10.27988 6.030835 11.30084 17.89732 0.1910876 33.60642 43.26673 56.91583 13.83312 23.37222 29.75961 168.8417 61.22772 54.07514].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.0329 0.053156 0.00048361 -0.15425 -0.21749 0.20613 0.17769 0.086841 0.087983 0.016928 -0.067257 0.18597 0.20769 0.090189 1.7284 0.041816 0.28162 0.089937 0.091694 0.19578 0.096265 0.2468 2.8218 0.4185 0.0063874].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.010667 -0.36629 0.0087578 -0.11461 -0.064875 -0.017761 0.025579 0.0067251 0.0090745 0.21081 -0.0065499 -0.020362 0.010002 -0.10251 0.11329 0.094689 -0.010985 0.021993 0.012128 -0.0010935 -0.1009 -0.037199 0.012948 -0.03458 0.026968].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.10847 -0.016777 -0.051606 0.065141 0.032155 -0.032411 -0.37687 0.0027778 0.010021 -0.080746 0.0080845 -0.02181 0.042723 0.16567 -0.13885 -0.069374 -0.016825 0.15653 -0.0080764 0.18493 0.068232 -0.17837 0.042656 0.017642 0.056104].
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 [26.11801 33.58661 27.64433 18.91287 14.62555 25.9657 27.66363 14.99602 18.64451 37.12699 19.9753 7.237446 2.692891 14.93483 12.70222 8.775635 23.73529 50.08547 26.28548 27.27534 18.6086 42.05666 191.7994 46.23157 28.09237].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.6651 -0.94451 0.27019 0.97524 1.0415 0.80801 0.37034 0.28919 0.74088 0.96708 0.44023 0.61027 -0.22519 0.63741 -0.47847 -0.090847 1.6893 1.0274 1.5208 0.62993 1.8875 1.3393 1.1297 1.8492 0.035358].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.32619 -0.037568 0.49483 0.18821 0.3343 0.089353 -0.34291 0.32015 0.10015 -0.51736 0.2518 -0.055504 -0.026055 -0.03758 0.1382 0.06388 0.48449 0.10746 0.016163 0.29673 0.060273 0.061164 0.40835 -0.27767 0.46086].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11268 -0.66558 -0.105 -0.0047992 -0.064554 0.031069 0.021468 0.018537 0.23316 0.22204 0.16063 0.063911 0.048882 0.040196 0.24546 0.84445 0.0365 0.19626 0.15302 0.38852 -0.056479 0.11078 0.21814 -0.085245 0.018601].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.017904 0.25274 0.10747 -0.045133 0.1312 -0.041959 -0.052354 0.050542 0.075196 0.0087564 0.044601 0.023492 -0.032223 -0.18153 -0.63945 0.43089 -0.13405 -0.3457 -0.011834 -0.087705 -0.068045 -0.32295 0.017679 0.14132 -0.079687].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.15729 -0.082187 0.084274 -0.009245 -0.2886 -0.063372 0.020442 -0.026808 -0.098536 -0.026442 -0.21717 -0.010688 -0.12398 0.10786 0.017204 0.13512 0.078371 0.43628 -0.17842 0.10681 0.1432 0.23993 -0.016153 -0.089545 -0.010572].
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 [0.038907 -0.12636 0.12525 0.050868 -0.16351 -0.20669 -0.052777 0.0062349 -0.027216 -0.096888 0.046495 -0.19153 0.29808 0.48723 0.12896 1.3193 0.11698 -0.39466 0.29868 -0.010283 0.014067 -0.015191 1.4652 -0.06987 -0.6815].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.49062 0.14139 0.30924 -0.12782 0.16357 -0.13173 0.42316 -0.0038354 -0.071611 0.30708 0.0196 0.0010889 0.037842 -0.08184 0.18997 -0.19877 0.10801 -0.34425 0.16712 0.01256 -0.084332 -0.062066 -0.11265 0.033268 0.032021].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0034109 -0.14577 -0.060899 -0.40294 -0.0047476 -0.14139 0.2151 0.01089 0.011009 0.012125 -0.12881 -0.032592 -0.024367 0.074738 -0.074616 0.27343 -0.013395 0.0088113 -0.053589 -0.18137 0.065729 0.085009 -0.13816 -0.33555 0.13199].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.89076 0.41752 0.068047 0.1059 -0.11596 -0.065012 0.0029616 0.091179 -0.34078 -0.0030456 -0.19934 -0.11572 0.0096983 0.025194 -0.071898 0.118 0.026489 -0.055481 -0.10891 0.30728 0.013229 0.095971 0.43097 0.089137 -0.090881].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0052181 -0.7902 -0.029541 0.048408 -0.021563 -0.19331 -0.067531 -0.015136 0.35398 -0.13256 0.11974 0.093607 -0.026054 -0.022317 0.041775 0.021523 -0.11723 -0.23671 -0.03337 -0.06594 -0.0073607 0.085312 -0.04072 -0.23592 0.11273].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.056279 0.091282 -0.18759 -0.01084 0.13611 -0.23374 0.040974 -0.0077373 -0.0089077 0.16217 0.13325 -0.033846 0.029103 0.0071222 0.021069 0.010835 0.06981 0.29043 -0.14412 0.11392 -0.0014991 -0.091929 -0.092493 0.11075 -0.20493].
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 [-0.028111 -0.040453 0.054532 -0.34881 0.058809 -0.045301 -0.024074 0.14066 0.15802 -0.17463 0.07853 -0.0013949 0.019982 -0.0012794 -0.15669 2.1185 0.13859 -0.21072 -0.068068 -0.013362 -0.013365 0.058752 -0.40291 0.52159 0.15838].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.074439 -0.092672 0.10662 -0.193 -0.12576 -0.017693 -0.092023 -0.05037 0.023499 0.34925 -0.049688 0.0023082 -0.33803 0.039539 0.16743 0.2273 -0.37307 0.79654 -0.28234 -0.037789 0.17284 -0.034838 -0.006769 1.0912 0.20792].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.25582 0.28579 -0.011735 -0.54929 0.14277 0.02856 0.061086 -0.1807 -0.19679 -0.17579 0.045637 0.044723 -0.034988 -0.1769 -0.47197 0.4644 0.048017 0.45843 -0.0074718 -0.14555 0.050868 0.077769 0.71149 0.010349 -0.60859].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.15547 -0.0093779 -0.068347 0.040358 -0.048627 0.054097 -0.45743 -0.043168 -0.00096183 0.047615 -0.28733 -0.1559 -0.00064874 -0.023527 -0.41167 -0.080695 -0.063221 0.042972 0.31983 -0.080404 -0.12154 0.081488 0.029729 0.023691 0.14152].
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 [-0.031074 0.04501 0.035271 0.051254 -0.13719 -0.079275 -0.13709 -0.10199 -0.253 0.087607 -0.1348 0.019227 -0.012912 0.079629 0.15759 1.8706 0.026187 0.56018 0.27518 -0.018963 0.061278 0.52577 0.38276 0.38531 -0.231].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.25631 -0.2933 -0.017878 0.16982 -0.089775 0.18961 -0.023931 0.12683 0.039454 0.067205 0.031943 -0.33753 0.22789 0.0018095 0.081962 0.12469 -0.048218 0.016953 0.10809 -0.15802 -0.061183 -1.1592 0.3419 -0.098524 0.29881].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.15651 -0.074074 0.11083 0.2654 -0.063881 0.061801 0.021213 -0.0050776 -0.037924 -0.30156 -0.092395 -0.023653 0.099279 0.013393 -0.66527 0.48906 -0.024164 -0.29047 0.26303 -0.4009 -0.21011 0.30653 -0.0078547 -0.21586 -0.040371].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.28816 0.0059808 -0.088087 0.028036 0.10724 -0.042551 0.28027 0.070994 0.038143 -0.11741 -0.16295 0.099104 -0.022109 0.23807 0.11946 0.056626 -0.21027 -0.44398 0.020041 -0.33832 -0.10558 -0.17741 0.98713 0.24111 -0.22263].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.2579 -0.027552 -0.016107 -0.091798 -0.1681 -0.22358 -0.41151 -0.30674 0.051358 0.16181 0.15896 -0.0060742 -0.18776 -0.50979 0.42314 -0.083738 0.10693 0.36739 -0.55009 0.097024 0.090191 0.17976 0.0053034 0.042234 0.2756].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.043733 0.015166 0.10252 0.32257 0.098975 0.04949 0.21003 -0.12122 -0.16611 -0.26813 -0.32432 -0.042686 0.17774 -0.14271 -0.97027 0.12373 -0.37608 0.10355 -0.086836 0.32339 -0.05228 -0.13415 -0.0078053 -0.39553 -0.22995].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.046778 -0.0053825 -0.13642 -0.088767 -0.050827 0.1061 0.33755 0.45509 -0.10095 0.24664 0.31996 -0.08089 -0.005539 0.21332 0.1014 -0.10144 0.38534 -0.061228 -0.17411 -0.13524 0.014237 0.13925 0.0015632 -0.012817 -0.37254].
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 [-0.21501 0.065385 0.33154 -0.027262 -0.17681 0.23784 0.094563 -0.18751 -0.064863 0.22289 0.39217 5.3822e-05 0.066053 0.046036 0.17521 1.655 -0.38656 0.82809 -0.17312 -0.82216 0.57658 0.13651 0.085558 -0.10245 -0.036654].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.060092 -0.090874 0.041353 -0.027646 0.019434 -0.024314 0.019269 -0.026977 -0.016256 0.076859 0.044262 0.23906 -0.0038052 -0.024273 -0.026037 0.14354 0.46236 -0.17917 0.17846 0.063971 0.17048 -0.4604 -0.59186 -0.053182 -0.56609].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.22389 -0.42383 0.29513 0.11675 0.060775 -0.0010334 0.046311 -0.022067 0.17344 -0.16147 0.021485 -0.0083707 -0.030918 0.13799 -0.01026 0.0073358 -0.22891 0.04755 0.40748 -0.16392 -0.0062509 -0.26264 -0.077008 0.077329 -0.17301].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.26038 -0.57243 0.12755 -0.10603 -0.27736 0.053172 -0.31249 0.00038216 0.013276 0.172 -0.13576 -0.085866 0.02232 -0.35231 0.30706 0.21732 0.67915 0.033325 -0.30977 -0.011104 -0.14196 -0.14755 -0.34563 -0.5884 -0.34744].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.059006 -0.30795 -0.3684 0.005503 0.43256 0.28442 -0.036436 -0.095403 -0.057291 0.027074 -0.080077 0.091798 -0.054632 0.39669 -0.35458 -0.0064681 -0.069693 -0.18668 0.32279 0.046363 0.16037 0.19777 0.39395 0.052246 0.32022].
# Parameters are learned. Sampling algorithm is now running...
-------------------------------------------------------------------------------------------
# Results and figures are being stored...
[Warning: MATLAB has disabled some advanced graphics rendering features by
switching to software OpenGL. For more information, click <a
href="matlab:opengl('problems')">here</a>.]
Done.
Results and figures are stored in Outputs/R87_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 10795 s
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 [21.52624 13.88184 24.20639 4.026972 10.40835 14.48412 14.39514 3.350252 7.731503 89.98995 15.18714 6.869399 6.522002 12.49886 30.75012 0.5000669 40.16076 41.55851 60.15223 14.19748 24.14418 27.40395 167.46 52.63936 46.62151].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.40424 -0.14635 0.18989 -0.0055625 -0.85928 0.23548 0.11194 0.072578 0.087983 -0.13186 0.1466 -0.0012067 0.094153 0.044796 0.96509 0.23712 0.29674 0.29218 0.078362 -0.062795 -0.020119 0.15791 2.2069 1.3107 0.21398].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.065759 0.051431 -0.022227 0.47578 0.039175 -0.084336 0.14219 0.028793 0.0090745 0.16982 0.011706 -0.0009937 -0.056579 -0.039685 -0.11049 0.049124 0.0077869 -0.084677 -0.074002 0.058562 -0.068922 0.013042 0.032627 -0.18029 -0.16379].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1179 0.049516 0.11094 0.016239 0.018553 -0.061411 0.1552 -0.043115 0.010021 0.14803 -0.048239 -0.030783 -0.01549 0.12982 0.23884 0.032561 -0.16292 0.27722 -0.13691 -0.058312 0.067042 0.28058 0.26127 0.12548 -0.058477].
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 [24.18327 22.58414 26.09625 18.19162 16.32257 26.69581 28.21998 14.80463 19.11526 41.56534 25.04788 9.406219 1.534457 14.52956 14.56579 7.784919 22.51798 44.74772 29.34514 30.86347 20.99439 45.10034 197.1609 42.99437 29.30099].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.65064 0.48416 0.41066 2.94 0.6903 1.6033 0.52614 1.5436 1.012 2.0594 2.1155 0.69357 -0.12508 0.46655 -0.62784 0.19121 0.7893 0.36995 2.2379 0.48309 0.27739 2.4663 1.7177 -0.40957 -0.93597].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.18492 0.069847 -0.54856 -0.040513 -0.20786 -1.3008 0.045704 0.17162 0.059925 0.34637 -0.26964 0.28114 -0.045199 0.46143 -0.0034357 0.0061019 0.44291 0.37183 0.30954 -0.38462 0.0050959 0.21559 -0.015617 0.12826 -0.050998].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.2124 0.010646 -0.027853 0.35597 -0.017871 0.05583 0.27085 -0.28673 0.036391 0.10171 0.021439 -0.00058485 0.068263 0.32533 0.15392 0.046383 0.23074 -0.13917 -0.51289 0.029446 0.017229 0.00064908 0.44866 0.039921 -0.15405].
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 [31.5493 12.45242 23.84375 5.573527 10.63842 17.63895 14.23368 5.027252 9.735794 89.93034 18.25345 9.557074 5.821379 13.06182 29.3501 0.08168193 34.5995 46.35013 61.54586 13.12453 22.60282 30.10433 176.3198 51.40222 46.76827].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.48079 0.32224 0.060192 0.15166 0.082029 0.13592 0.044937 0.39953 -0.027032 0.22492 0.091404 0.25946 0.2262 -0.0666 1.2569 -0.056035 0.036073 -0.02082 0.011275 0.45265 0.088479 0.29755 2.3438 1.1815 0.69374].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.036321 -0.023598 -0.037024 -0.0021359 0.026371 0.06728 -0.087359 0.17993 -0.018198 -0.0089525 -0.025296 0.00052551 0.01222 0.051175 4.565e-05 0.29221 0.086086 0.0051237 -0.10711 -0.035209 0.011017 -0.018765 -0.21312 -0.022774 -0.37761].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.1137 0.010618 0.028512 0.024994 -0.13986 -0.020208 -0.019159 0.20601 -0.026222 -0.10742 0.11602 -0.0032861 0.13774 -0.091759 0.040615 0.1053 0.028613 0.038272 0.29898 0.0069344 0.025847 -0.020405 0.25935 -0.7764 -0.13455].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.018993 -0.097127 -0.024297 -0.00059986 0.11373 -0.16639 -0.036855 -0.038301 0.013046 0.1277 -0.079527 -0.025579 -0.018723 0.13796 0.0067161 0.0094422 0.12382 -0.25152 -0.60926 0.073643 -0.044892 0.059672 -0.27656 -0.15708 0.020267].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0039657 0.094082 0.018312 0.0027979 -0.06719 0.33231 -0.0041666 0.01555 0.02407 -0.038825 -0.30208 0.0092519 -0.00072311 -0.027989 -0.097633 0.0038483 -0.50059 0.36004 -0.5385 0.00072312 0.044471 -0.048621 0.23694 -0.38607 0.000503].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11525 0.03007 -0.059942 -0.13646 -0.058413 -0.35472 0.044092 -0.032111 -0.024497 0.037476 0.12063 0.016581 0.0066326 -0.13335 0.01793 0.0080884 0.35773 -0.0066243 -0.16332 -0.033784 -0.015523 0.012892 0.013594 0.55083 -0.0009873].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.12567 -0.017869 0.064247 0.15106 -0.021177 -0.0042382 0.070762 0.046019 0.032652 -0.048019 0.069601 0.0014783 0.013204 -0.075419 -0.061093 -0.11969 -0.47911 -0.0041224 0.044517 0.037636 0.01637 0.033778 -0.058178 0.13427 -0.0070254].
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 [23.86592 28.52715 28.41544 15.26139 15.96645 21.90718 28.96327 22.02319 20.95881 39.60078 29.81793 8.388911 0.7238075 15.38904 15.26955 9.267826 35.79173 44.0654 29.11671 34.8491 20.78493 43.00747 184.8738 46.27217 25.7896].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.44887 0.439 1.4143 1.6871 0.18808 1.9183 0.80214 1.1555 2.139 1.3581 0.75422 0.067883 -0.015389 0.55667 0.26329 0.053495 1.7524 0.91274 2.1224 -0.067849 1.4145 1.0579 1.4707 1.7867 1.0516].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.02048 0.080268 0.16492 0.43558 -0.38762 2.4136 0.25644 0.12858 -0.00040766 -0.026473 -0.23154 -0.11603 0.0043524 0.20954 -0.20657 0.15239 -0.25028 0.14338 -0.075997 0.045463 -0.026657 0.25454 0.082257 0.27623 0.080514].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11811 0.10665 -0.0095937 0.11303 0.11501 -0.069925 0.016052 -0.10732 -0.08191 -0.068165 -0.0060025 -0.0013821 0.21631 -0.040426 0.0012651 0.095591 0.17425 0.12299 0.2577 0.031732 -0.014751 0.099658 -0.094401 0.059399 0.31756].
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 [0.20284 -0.040947 -0.085389 -0.068856 0.20139 0.067499 -0.50785 0.040417 0.031501 -0.23931 -0.093842 -0.0036598 0.13078 0.11214 -0.062539 2.9142 0.058807 0.30346 0.0027146 0.22363 -0.040571 -0.13901 2.8766 1.0119 0.87606].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.029375 -0.14716 0.14419 0.18944 0.26315 0.96692 0.19619 -0.045643 -0.1379 0.24771 -0.043302 -0.040685 0.0021801 0.023631 -0.54987 0.05808 -0.050302 0.06667 1.1365 -0.085428 0.048876 -0.3329 -0.085685 0.033991 -0.057682].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.026727 -0.23691 -0.011211 -0.19943 0.19809 0.0048961 -0.099819 0.039225 -0.068499 0.065623 0.038089 -0.15876 0.15532 -0.0099723 -0.0052231 0.31186 -0.1207 0.46905 -0.027523 0.085431 -0.040498 -0.029503 2.5049 -0.24028 0.71506].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.089468 0.0074724 0.054853 -0.10664 -0.20009 0.00823 0.041763 0.092473 0.093024 -0.066128 -0.0090957 0.020832 0.022945 -0.014377 0.11894 0.37474 0.0040496 0.042496 -0.037334 0.034505 -0.031425 0.25233 -0.33724 0.18737 -0.054532].
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 [-0.1383 0.036593 -0.12917 -0.016785 -0.0225 0.2381 0.12111 -0.0064194 0.068434 -0.098324 0.16243 -0.040872 0.15152 -0.047398 -0.097679 1.3635 -0.14352 0.063908 0.2511 0.084191 -0.26864 0.075344 -0.10349 -0.10638 -0.052137].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.031569 -0.018345 -0.034494 0.46256 0.0045649 0.074944 0.054357 -0.0074459 -0.0689 -0.24825 -0.12428 0.03491 0.056411 -0.051166 0.10298 0.21366 0.67693 -0.16559 0.021004 0.062208 -0.17719 0.037111 0.1783 -0.26499 -0.082404].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0094662 -0.045571 -0.0016772 0.053424 -0.020568 0.039558 0.096186 -0.0037736 -0.12835 -0.89221 -0.017813 -0.026968 0.080471 0.042814 0.058697 0.7763 -0.0040628 -0.099891 0.056271 0.031409 -0.053064 -1.0459 -0.0049537 0.038053 -0.0042762].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.44435 -0.75162 -0.0010819 -0.067639 -0.015591 -0.16713 -0.52182 -0.40974 -0.25438 -0.079564 0.20947 -0.0090186 -0.12168 0.018128 0.082006 0.033262 0.047184 -0.54236 -0.13554 -0.0094371 0.095921 0.58897 -0.037699 -0.2975 0.055307].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.39248 0.12686 0.0073367 0.035905 0.023684 0.034914 -0.028696 0.43013 -0.050992 0.12618 -0.025642 0.047222 0.2144 -0.12846 -0.24524 -0.12511 -0.035626 -0.0079309 -0.12001 0.022257 -0.023416 -0.056655 -0.010936 -0.11358 -0.084552].
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 [0.045347 0.10368 0.011382 0.0099728 0.0096976 0.033912 -0.14234 -0.0052074 0.51158 0.25345 -0.027868 -0.074556 0.20759 0.093959 0.1962 3.0551 -0.047243 0.078755 0.18541 -0.1867 0.080732 0.11272 2.2372 0.22736 0.04458].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.42569 -0.063712 -0.080532 0.028643 0.10554 -0.050647 0.012636 0.16888 -0.10815 -0.07128 -0.12536 0.12018 -0.032313 0.19355 0.19616 0.050055 -0.038299 0.39196 -0.11899 -0.44816 0.0026314 0.85324 0.41436 0.0036766 0.03252].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0065147 0.07406 0.13626 -0.0050815 -0.35626 -0.30655 0.46786 -0.2484 -0.17182 0.15614 0.076611 0.05977 -0.0030451 0.12641 -0.0065034 1.409 0.57085 -0.30819 -0.198 0.84639 -0.16095 0.97769 -0.0026812 0.031262 0.12869].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0052022 -0.18529 -0.4949 0.13656 0.066351 0.035187 -0.87874 -0.016668 0.27917 -0.020488 0.049009 -0.018953 0.020595 -0.17276 -0.028195 -0.10505 0.16637 -0.56322 0.15133 0.055965 0.032356 -0.038639 -0.30102 -0.050096 -0.048217].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.27644 0.087979 0.85974 -0.18938 0.25563 0.026297 -0.3844 0.020739 -0.36164 -0.043801 -0.119 0.0085237 0.059515 0.16516 0.032182 0.13304 -0.075981 0.35617 0.09717 -0.051406 -0.072324 0.037015 0.055108 -0.037765 0.0068817].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.31527 0.12496 0.57012 -0.030283 -0.080077 0.032024 0.089873 -0.021399 0.061653 -0.27076 0.16508 -0.011563 0.027663 -0.14594 0.004198 -0.088324 0.4014 0.017741 -0.026879 0.029422 0.080355 -0.0014168 0.16459 0.096691 -0.18698].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.01343 -0.045893 -0.38514 0.13377 -0.07568 0.0054044 -0.15091 0.033418 0.25014 0.32519 0.0072234 0.017872 -0.02053 0.1036 0.0030758 0.070315 -0.16441 0.010492 -0.56222 -0.036141 -0.0026273 0.001718 -0.03618 0.00151 0.0777].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.041085 0.071764 0.39654 -0.28597 0.17268 -0.19341 0.13956 -0.01163 -0.52994 0.016139 -0.54616 -0.024939 -0.051575 -0.078214 -0.078245 0.018408 -0.70199 -0.0016552 -0.014184 0.049477 -0.037269 0.000104 -0.46528 0.0017543 -0.25617].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.10762 0.019795 -0.081671 0.39313 -0.20204 0.14576 0.078095 -0.09438 0.45222 -0.0021246 -0.026776 0.033329 -0.038034 0.12963 0.061509 -0.12827 -0.28192 -0.0026908 0.075083 0.0035594 0.03859 -0.024722 0.16534 -0.038955 0.37514].
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 [-0.028874 -0.4521 0.0084748 0.057112 -0.0062216 0.058271 -0.019829 0.28154 -0.4654 0.17431 0.015456 -0.006206 0.05458 0.013664 -0.023138 0.38039 -0.10523 -0.0040754 -0.020315 0.21712 0.1338 -0.065998 -0.44281 -0.10311 -0.058339].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.33639 0.044615 0.02112 -0.70205 0.41586 -0.53728 0.0097717 -0.062088 0.24338 0.27434 -0.0099526 -0.022755 0.012291 -0.048846 0.12555 -0.11643 -0.02415 -0.0071523 -0.073656 0.016462 0.31801 0.13211 0.23835 0.073594 0.028219].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.047943 -0.1262 0.047129 0.02312 -0.13672 -0.25128 -0.18552 0.054031 -0.0064023 -0.2075 -0.12702 0.044734 0.039793 0.023683 -0.066836 -0.09839 0.010072 -0.54982 0.050916 -0.010956 -0.059434 0.056299 0.43318 0.061692 0.19297].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.066299 0.13458 -0.015793 -0.44281 -0.20199 0.0037928 0.010122 0.094802 -0.043742 0.029097 0.16054 0.055728 0.26873 -0.06738 0.037216 0.41506 0.08118 -0.4823 -0.12632 -0.25628 -0.42387 -0.15135 0.63257 0.0044507 0.075437].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13744 -0.51483 -0.096033 -0.20554 0.060454 -0.022063 0.020913 -0.0052443 0.087777 -0.036306 0.032891 -2.6905e-05 0.011939 0.10468 -0.042559 0.029408 -0.028921 0.42184 0.084315 0.10612 0.38288 -0.19126 -0.2083 -0.014773 -0.82056].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.032088 -0.01013 0.098188 0.15044 0.16363 -0.23224 0.003046 -0.054067 -0.068177 0.13857 -0.0128 -0.038172 -0.18358 0.0048492 0.024869 -0.0067527 -0.044692 0.024425 0.060307 -0.23223 0.053218 0.37512 0.3705 -0.034346 0.31147].
# 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/R87_d18O_stack(1).
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Parallel pool using the 'Processes' profile is shutting down.
Time elapsed = 7572 s