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R31.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 [28.63236 4.134307 54.13464 25.06468 5.608057 2.717964 34.97302 18.92563 8.747011 27.74509 4.787088 21.03633 3.928825 37.55724 15.40714 29.954 64.32876 65.63501 115.432 52.16834 7.164127 55.2986 6.046565 30.64611 46.26437 1.774195 11.12979 3.988665 47.69777 50.33533 12.94232 38.8057 23.38659 5.237667 34.88618 11.85857].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0859747 -0.033354 0.156491 0.371177 0.00115696 -0.0190031 0.150739 -0.339785 0.109225 0.769991 0.158435 2.07033 0.222811 1.99164 -0.245628 0.540356 2.1783 1.29463 0.688202 0.25894 0.032161 26.241 0.120055 0.62451 0.0435381 0.387255 -0.259009 0.0361921 6.21643 1.3334 0.0816756 1.82706 0.354437 0.0890352 1.71179 -0.120555].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11994 0.16623 0.010143 -0.14943 0.013841 -0.045751 -0.025787 0.021407 0.081953 -0.00042265 -0.016642 0.088307 -0.31675 0.46613 -0.021581 0.39855 0.0090143 -0.29584 -0.30201 0.31331 -0.15841 4.8393 0.028611 0.07784 0.03446 -0.090726 0.12404 0.0053185 0.59098 -0.0018582 -0.043512 -0.0035225 0.51748 0.0070267 -0.0023583 -0.027855].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.14221 -0.0076407 -0.35337 -0.0093736 -0.014746 0.010556 -0.096918 0.032812 0.21964 0.12398 0.0049193 0.0014742 0.00099769 -0.0067949 -0.21718 -0.34846 0.085662 0.0055007 0.58754 -0.21005 0.31474 -0.039348 -0.014108 -0.061768 0.032096 0.063071 -0.13065 -0.020425 0.32795 0.056482 -0.0019507 -0.064182 -0.08032 0.093235 0.36815 -0.041511].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.03336 0.0037627 0.21114 0.1751 0.012732 0.10352 0.06015 -0.12979 -0.1008 -0.24678 0.00038838 0.096708 -0.1072 -0.063705 0.23773 0.24209 0.036266 -0.55864 -0.019853 0.20989 -0.24718 -0.71864 0.013246 0.012911 -0.1124 -0.057599 0.01171 -0.0025664 -0.10295 -0.022726 -0.0024789 -0.05197 0.04358 -0.023793 0.22602 -0.75082].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11213 -0.034258 -0.076537 -0.32402 -0.024971 -0.20382 0.021106 0.11894 -0.2178 0.14018 -0.014567 -0.0045999 -0.17156 -0.16171 0.043378 0.17316 -0.074533 0.19993 -0.18628 0.083484 -0.29483 0.30863 -0.0048538 0.027914 0.13451 -0.021598 0.0032795 0.025084 0.32591 0.017072 -0.37537 0.13839 0.043672 0.0020038 -0.14355 0.22295].
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 [4.880482 5.3487 36.70295 34.16276 0.6577782 7.26581 37.11598 32.22103 13.17515 2.817665 12.6708 33.77817 21.73824 39.09956 40.22717 44.59067 42.41906 81.69318 56.00479 140.1291 23.22741 50.23725 -0.08326913 17.31913 59.71257 0.81708 8.720155 5.946225 6.745061 13.54211 16.46598 43.22368 46.57709 6.532387 392.7753 28.12089].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0037483 -0.13006 1.865 3.4596 -0.00064722 0.44409 0.61507 1.2833 0.086289 0.14183 0.66964 1.4183 1.1879 -0.031658 1.906 1.1886 2.0724 5.47 4.591 4.3297 -0.089199 2.3115 -0.29698 -0.74092 2.0052 0.72377 0.74037 0.12324 1.0504 0.66175 0.52075 2.9006 2.0536 0.36612 6.5051 2.0238].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.014774 0.023997 -0.83557 0.37815 -0.010584 0.014439 0.1033 -0.15325 -0.16573 0.016454 -0.4376 0.38046 -0.52063 0.20852 -0.15898 -0.1442 0.19596 0.89625 0.38786 0.48687 0.021791 0.30631 0.22928 -0.14413 0.31255 -0.021537 0.094232 0.013002 -0.32915 -0.025376 -0.078393 -0.085922 0.63488 -0.077678 0.029846 0.054073].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1406 0.20844 -0.29711 -0.62345 0.020386 -0.095862 0.078817 0.28398 -0.05168 -0.056601 0.071375 -0.17982 -0.047161 0.10472 0.10523 -0.12581 -0.57584 0.43615 0.33889 -0.080603 0.36536 0.25776 -0.084978 -0.063618 0.50288 -0.054284 -0.024888 -0.028796 -0.0039755 0.10215 -0.33606 -0.05135 0.096926 -0.48197 0.00064777 -0.57596].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.058104 -0.012392 0.28705 -0.036941 -0.05061 0.030889 0.041198 0.18 0.095715 0.083279 -0.20887 0.16162 -0.055993 -2.1298 -0.020087 0.27599 0.27522 0.18477 -0.441 0.24449 -0.17527 -0.17967 0.081031 0.39268 -0.14025 0.028442 -0.065437 0.10717 0.11823 0.16059 0.29258 -0.11729 -0.038597 0.11468 0.048277 -0.39025].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0023083 -0.13023 -0.019602 -0.025692 0.055971 -0.015766 -0.045245 -0.12198 -0.12924 0.0070525 -0.15308 -0.13736 -0.19063 0.13004 0.035804 -0.074705 -0.12934 0.083147 -0.27404 -0.062319 0.14921 -0.11732 -0.053836 -0.30995 0.39531 0.0046143 0.1061 0.0070687 0.05421 -0.030053 -0.10491 0.13378 0.0034684 0.15369 0.21546 0.27157].
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 [0.0081033 0.30552 -0.041994 0.11149 0.0080755 -0.14587 -0.25577 0.0091127 0.13135 -0.0076237 0.0020412 0.3417 -0.22022 -0.15649 -0.16676 0.86501 0.080789 0.079553 0.87635 3.68 0.27615 0.043907 0.17637 0.14898 0.10164 0.09497 -0.37842 -0.17301 -0.024864 -0.46692 0.22494 0.40103 0.52534 -0.2382 -0.084953 -0.44583].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1181 0.11649 -0.013847 -0.085437 0.017608 0.17882 -0.17368 0.080654 -0.17365 0.10976 -0.02638 -0.0078814 -0.0027256 0.008307 0.94803 0.11381 -0.10118 0.047283 -0.15415 0.3762 0.077553 0.003219 0.019361 -0.043495 -0.0032353 -0.030972 -0.069666 0.0060271 -0.01651 0.0018826 0.15717 -0.08507 0.25116 -0.03672 -0.048974 -0.86384].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.14164 0.083321 0.90362 -0.061268 0.04376 0.047887 -0.029412 0.034097 -0.68271 -0.0035589 -0.38636 0.018929 0.27888 0.040276 0.049071 0.1415 0.11238 0.098843 0.005339 0.011935 -0.15297 0.13333 -0.019687 0.065898 0.046489 -0.005485 0.061537 -0.021651 0.22992 -0.2514 0.015917 0.016482 -0.069082 -0.04079 0.46764 -0.031326].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.044085 -0.043778 -0.06601 -0.031301 -0.0058981 0.060057 -0.043621 0.083527 0.01227 0.046698 0.043278 0.049234 0.09776 -0.083413 0.11342 -0.23089 0.056135 0.30981 -0.0083587 -0.35698 -0.048308 -0.045614 -0.094427 0.0018694 -0.027427 0.11019 0.069538 -0.033725 -0.20627 0.086693 0.09268 -0.13807 -0.086631 -0.016831 1.0867 -0.06361].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.2017 0.043661 0.12456 -0.078796 0.020628 0.005883 -0.031943 0.12758 0.024984 0.010526 -0.066928 -0.2042 0.06377 0.3352 -0.011879 0.25436 0.012141 -0.0045045 -0.065478 0.046715 0.052159 0.047938 0.086629 -0.04927 0.022624 0.079344 -0.072908 0.070652 0.19462 0.0060593 0.092332 0.13149 0.0062281 -0.022848 4.3862 0.050208].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.4425 -0.0017486 -0.27947 0.092935 -0.017175 -0.04908 0.068245 -0.035157 -0.035902 -0.17793 0.03362 0.34835 -0.43212 -0.031706 0.0093406 0.034142 -0.0047748 -0.12917 0.072505 0.26842 -0.012751 -0.096682 -0.019837 -0.058404 -0.023731 -0.1193 0.025738 0.007131 -0.041101 -0.078396 -0.092372 0.013051 0.057518 0.032385 0.042194 -0.0083021].
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 [-0.23948 0.071934 0.070848 -0.37395 0.0039062 0.065545 0.0075856 -0.0024734 0.069015 -0.090267 -0.080008 0.16486 -0.20808 -0.47496 0.0088286 0.022374 0.03381 0.23359 -0.17249 0.06679 0.15422 0.028263 -0.060818 0.030255 0.13212 -0.017001 0.57272 -0.016345 0.60374 -0.075047 0.3224 -0.22375 0.16915 0.05815 3.0787 0.020299].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.10831 -0.057775 -0.26787 -0.15256 -0.095685 0.038189 -0.46266 0.3391 -0.11461 0.0042859 0.018304 0.016493 0.16958 0.67764 0.14057 0.084911 -0.048741 -0.15705 -0.039587 -0.94222 0.022141 0.02556 -0.092527 0.15992 0.1625 0.014133 -0.69246 -0.41953 0.052291 -0.35538 -0.16576 -0.085815 0.10811 -0.022473 0.72051 0.024163].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.027593 -0.38038 -0.4515 -0.3249 0.12549 0.17809 0.0014971 -0.10643 -0.027636 0.016708 0.013894 0.41506 -0.11459 -0.33619 -0.076638 -0.47728 0.085849 0.090126 0.019574 0.031658 -0.22854 3.0943e-05 0.0016223 0.42047 -0.48614 -0.067123 -0.091838 0.30261 0.028962 0.24935 0.0017366 -0.12759 0.26094 -0.1098 -0.85541 -0.0054189].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.088804 0.0079331 0.15493 0.038764 -0.048218 0.0019816 0.26078 0.06693 -0.0078873 -0.081345 0.12738 -0.012714 0.24023 0.28826 -0.28322 -0.20472 -0.010451 -0.027769 0.3805 0.085174 0.088317 -0.020417 -0.041312 -0.030495 0.42336 0.0081395 0.019641 -0.038208 0.012312 0.19621 -0.24466 0.020387 -0.061138 0.005478 1.9074 -0.50168].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.050747 0.0093267 -0.29251 0.02516 0.11262 -0.096597 -0.052762 -0.060841 -0.025967 0.22137 -0.012894 -0.0082356 0.34151 0.10228 0.12299 0.31904 -0.26226 0.206 -0.63124 0.037511 -0.013886 -0.40721 -0.027275 0.040648 -0.31505 0.011714 0.0059885 -0.038641 0.070766 -0.22724 0.25207 -0.22799 0.0025397 -0.0086873 1.0968 0.014865].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.00527 0.025696 0.0023208 -0.11343 0.019067 0.10415 0.042337 0.057897 -0.051421 -0.28144 -0.19726 0.0017901 -0.42277 0.039283 0.19155 -0.10643 0.23535 -0.1181 0.15824 -0.31048 0.025239 0.31636 0.084699 0.0039645 -0.71971 -0.034453 -0.46936 0.08271 0.16029 0.22796 0.03215 0.031595 -0.29732 -0.07726 1.8638 0.010336].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13206 -0.062016 0.30851 0.056409 -0.2 -0.0588 -0.0057972 -0.0073688 0.02885 0.26833 0.21735 -0.050622 0.26649 -0.045674 -0.09093 0.053515 0.034261 0.12685 -0.14552 0.13183 -0.20945 -0.2788 -0.021266 -0.40404 0.24104 0.045191 0.40805 -0.013368 -0.22402 -0.064776 -0.09622 0.30518 0.32078 0.082235 2.6341 0.00085603].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.36331 0.034554 0.060219 0.0085127 0.17071 0.057828 -0.098716 -0.034297 0.054669 0.097763 -0.068836 0.05746 0.3034 -0.18128 0.11235 0.035849 0.00054791 -0.12106 0.11997 -0.056729 0.20736 0.33776 -0.029657 0.3157 -0.2353 -0.1404 -0.40249 0.015239 0.2611 0.085271 0.14384 -0.013423 -0.068112 -0.0076162 2.01 -0.073855].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.50996 -0.038881 -0.0033897 -0.33411 -0.052571 -0.046309 0.061978 -0.033403 0.00078199 -0.15908 -0.28426 -0.072715 -0.42422 0.094156 -0.039029 -0.11009 -0.1354 0.096557 0.014042 0.14433 -0.041607 -0.89506 0.054164 0.089264 0.062803 0.11042 0.28026 -0.033417 0.13709 -0.00018097 -0.62465 -0.28962 0.051211 -0.012592 -0.91781 0.076367].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.030859 0.062915 -0.19508 0.06012 0.086189 0.043997 0.05316 0.046422 -0.18271 -0.32077 0.15453 -0.23545 0.14484 0.14134 -0.27528 0.15024 0.132 0.042523 0.017353 -0.13734 -0.023597 -0.10342 -0.018143 -0.18594 0.21357 0.025947 0.17664 0.031634 -0.49684 -0.24374 0.19254 -0.0075965 -0.045031 0.012213 0.55797 -0.077266].
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 [0.0016583 -0.26162 -0.30336 0.08396 0.10482 -0.006914 0.046557 0.24107 -0.18594 -0.32422 -0.089261 -0.01962 0.063824 0.44915 0.12153 0.12416 -0.069 0.090879 0.010818 0.014355 0.24501 0.025595 -0.020266 0.054638 0.63579 -0.01993 -0.0099903 0.074008 -0.2746 -0.17781 0.040111 -0.03673 0.083707 -0.068254 3.1088 0.047819].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.051554 -0.87846 -0.12534 0.17258 0.26006 -0.28306 -0.051394 -0.094299 -0.1463 -0.1462 -0.37018 -0.080747 -0.043438 0.054521 -0.080332 0.037935 -0.072529 -0.00072726 0.066823 -0.019067 -0.1562 0.26602 -0.0063503 0.020975 -0.24516 0.19771 -0.033467 0.03392 0.51774 0.011768 -0.024524 -0.034746 0.47438 -0.057753 0.96621 -0.04723].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.068288 -0.0083259 0.52619 -0.27625 0.021139 0.012239 -0.0045917 -0.33352 0.042212 0.23132 -0.26826 0.74165 0.0099426 0.17294 -0.46502 -0.15316 -0.071509 -0.40543 -0.25946 -0.69581 -0.0028693 -0.068762 -0.00088581 0.031053 -0.314 0.0092753 -0.0034215 0.26028 0.15121 -0.062088 -0.05369 0.03342 0.22384 0.00027634 1.432 0.0067169].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.046677 -0.24271 -0.05483 -0.10556 0.0060648 0.057048 -0.0344 0.018835 -0.18929 0.17147 -0.027807 0.50033 -0.013245 -0.019919 0.68523 0.16425 -0.32686 0.057276 -0.42136 0.046468 0.33641 0.072953 0.0033042 0.05043 0.15154 0.050082 0.20042 -0.021086 -0.079387 0.023649 -0.036164 -0.014977 -0.15583 0.016215 -0.30634 0.015406].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.013435 0.25691 -0.30956 0.15251 -0.047519 -0.16834 0.018367 -0.098524 0.079462 -0.11511 -0.20334 0.0017228 -0.39067 -0.31297 -0.99307 0.076171 0.39228 -0.31216 0.043355 -0.23577 -0.11601 0.1332 -0.014672 0.14878 0.0065705 0.00041222 0.28142 0.037014 -0.23066 0.0017658 0.030192 0.11085 -0.15298 -0.11241 0.019605 -0.088521].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.011436 0.15852 -0.24363 -0.0033756 0.025521 -0.18019 -0.023774 -0.034359 -0.035654 -0.53877 0.2168 0.029481 0.35129 0.33251 -0.20482 -0.064809 -0.13588 0.30972 0.41879 0.054901 -0.0044371 -0.35616 0.0096394 -0.11456 -0.047916 0.0083495 -0.10825 -0.011332 0.21222 -0.083613 -0.069701 0.007975 0.55913 0.044962 -0.46879 0.079114].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.30685 0.12621 0.54059 -0.036106 -0.022435 0.27258 0.032927 0.15203 0.22066 0.16341 -0.21387 -0.02249 -0.69602 -0.10706 0.1699 -0.080282 0.031183 -0.10502 -0.27833 0.10032 0.11025 0.19291 -0.0025973 0.050132 -0.0032063 8.694e-05 -0.57057 0.01597 0.039415 0.028721 -0.12987 -0.072316 0.37191 0.11667 0.96515 -0.019555].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.26955 -0.54406 -0.057612 -0.091162 0.033655 -0.10997 -0.05957 -0.13247 0.0029279 -0.034007 0.19086 0.013314 0.066122 0.036664 0.0026853 -0.025995 0.04668 0.00096867 0.16203 0.12477 0.046195 -0.16329 0.00029619 0.091901 0.040561 -0.0062079 -0.02303 0.0050227 -0.043016 0.046864 0.18651 -0.082576 -0.40444 -0.25231 0.4581 -0.071962].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.050649 0.011571 -0.078695 0.13396 0.019098 0.14962 -0.073758 0.12769 -0.50294 -0.34257 0.1265 -0.17297 -0.0027292 0.070997 -0.19678 0.094441 0.051069 0.095034 0.091433 -0.28322 0.095119 0.32461 0.0073688 -0.046927 0.00018649 -0.022782 -0.14296 0.0015683 0.054773 0.0061361 -0.018354 0.0094328 -0.035868 0.055106 0.043608 -0.095923].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.085531 -0.0040014 0.17284 -0.1297 -0.0083715 -0.19257 0.16263 -0.11437 0.092067 0.30438 -0.16523 0.11857 -0.0011603 -0.0077724 0.19291 0.0049352 0.0039643 -0.049576 -0.042249 0.21372 0.026514 0.0007507 -0.00051689 0.012426 -0.021034 0.028775 0.10435 -0.0040059 -0.2003 -0.046981 -0.0096331 0.10004 0.30939 -0.0086194 0.0536 0.19184].
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 [-0.25702 -0.01558 0.28519 0.13806 0.063895 -0.064652 -0.073197 -0.0084424 -0.059101 -0.061359 -0.04395 -0.14728 -0.016906 -0.01757 0.0092485 0.3061 0.01212 -0.59289 -0.053792 -0.11671 0.059364 -0.25559 0.0055433 0.1265 0.30398 0.14809 0.41666 0.0095897 -0.084588 0.040553 -0.17849 -0.067131 0.11825 -0.02761 0.77053 0.013098].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.43646 -0.26429 -1.2918 0.10154 0.083915 -0.0039059 0.042951 -0.0043625 -0.00024399 0.020838 -0.0055722 0.019022 0.10029 0.015482 -0.086085 0.028539 -0.017239 0.045585 -0.25272 -0.22262 0.40865 -0.015191 0.0010058 -0.4297 0.26868 -0.015114 -0.097053 0.62246 0.046337 -0.047916 -1.8111 -0.018379 -1.07 -0.27034 0.60353 0.062482].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.033154 -0.0046991 -0.15573 0.050766 0.012802 -0.040457 0.066412 -0.10175 -0.0071897 0.050259 0.018192 0.0035968 0.041845 -0.16897 0.33006 0.016813 -0.0036516 -0.18395 -0.044344 0.63996 0.00056748 -0.077996 -0.026009 -0.57998 -0.48472 -0.060337 0.30592 -0.095518 0.014984 0.045694 0.01792 -0.031868 0.11669 0.1917 0.58842 -0.0045441].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.098542 -0.058132 -0.0029516 0.24222 -0.22366 0.037609 -0.085064 -8.9372e-05 0.058634 -0.013207 0.0043547 -0.040049 -0.010726 0.08313 0.54327 0.44221 -0.0079635 -0.13706 0.003005 0.2688 0.084262 0.02508 0.0011697 0.031248 -0.15976 0.03563 -0.457 0.097928 -0.33223 0.046847 -0.035419 0.20611 -0.05052 -0.11425 0.54463 0.019802].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.064446 -0.0075132 -0.095424 0.53867 0.17874 -0.0053337 0.092356 -0.16024 0.072301 0.015033 0.2934 0.16109 -0.13958 -0.25209 0.082387 0.052762 -0.03038 0.18352 -0.070177 0.47882 -0.07556 0.058002 -0.01797 -0.071016 -0.42509 -0.053494 0.59389 0.0032875 0.10433 -0.14881 0.0092828 -0.11471 -0.10317 0.076032 0.077646 0.01495].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.012429 -0.004436 -0.038663 0.036236 -0.095628 -0.1249 -0.058232 0.12759 -0.0021272 0.00076264 -0.19657 0.0092744 -0.12835 0.089731 0.0056853 -0.22391 0.038933 -0.20384 -0.10892 -1.4898 0.059032 0.031666 0.018306 0.0437 0.21041 0.059253 0.037495 0.0016753 0.20268 0.12475 0.03972 0.13187 0.22555 -0.0062546 0.14642 0.0033398].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.030214 -0.0039839 -0.04526 -0.12178 0.043868 0.11302 0.035655 0.054054 0.0012169 -0.00054652 0.17914 0.0093801 0.25009 0.15553 -0.26482 -0.055519 -0.052364 0.17369 -0.65036 0.45692 0.017139 -0.31271 -0.01726 -0.01407 -0.2052 -0.057088 -0.081284 0.0016882 -0.093995 0.026905 -0.10125 -0.095959 0.048951 -0.17285 -0.27734 0.00031174].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0066408 0.01126 0.18812 0.52622 0.11483 0.01699 0.023703 -0.10472 -0.21842 0.00026349 -0.41425 -0.27265 0.024853 -0.0026198 0.25577 -0.551 0.047495 -0.038066 0.17069 -0.072377 -0.019327 0.1106 0.0069056 -0.053173 -0.030343 -0.025464 0.15656 -0.20096 0.079306 -0.0014295 -0.01438 0.081552 -0.031887 0.20238 0.28236 0.0024161].
# Iteration 9:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.04007 -0.012917 0.026116 -0.66813 -0.19152 -0.05354 -0.017795 0.096863 0.0018719 -0.03586 0.40035 0.1881 -0.023379 -0.16696 -0.18243 0.16791 -0.045779 0.071663 -0.20496 0.020875 0.016239 0.050721 0.0056144 0.043233 0.64073 0.016848 0.057711 0.16999 -0.38385 0.0049639 0.12251 -0.29767 0.033065 0.0057426 0.00034145 -0.13817].
# Iteration 10:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.21827 0.0043751 -0.0010851 0.13379 0.14015 0.023103 -0.0077886 0.012389 0.17688 0.0044775 -0.16081 0.075157 0.016931 0.17412 0.18225 0.0023737 0.038522 -0.19816 -0.44879 0.024282 -0.14226 0.055398 -0.050343 -0.097721 0.08353 -0.0911 -0.041835 0.012849 0.36169 0.00094272 -0.061556 0.31248 -0.00087737 -0.031476 -0.11861 0.13703].
# 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/R31_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 29971 s