forked from eilion/BIGMACS
-
Notifications
You must be signed in to change notification settings - Fork 0
/
R29.log
251 lines (247 loc) · 41.4 KB
/
R29.log
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
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 [12.0006 8.53834 8.02687 4.42972 8.83518 3.53909 16.4941 1.52639 10.7644 5.06443 1.09418 7.84584 6.78706 8.68936 7.78205 0.0340191 6.77255 17.1288 2.61372 8.30038 11.7675 6.02867 14.1679 19.6067 17.527 20.6949 1.96587 3.65477 17.2613 4.32468 9.69965 6.68382 28.65 6.79647 27.1498 7.04541 3.96058 1.44806 5.96896 5.13532 2.73953 3.4759 8.79591 2.70431 2.07276 6.02546 10.5093 8.46239 3.34572 33.1557 5.94903 5.7335 3.14114 8.71395 31.852 1.4938 7.03552].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.035411 1.1848 0.28842 0.027648 0.53584 -0.009368 0.20306 0.075578 -0.27733 0.12442 -0.037231 0.35647 0.68062 -0.18749 0.11638 0.023447 0.27376 0.74861 -0.041425 0.49596 1.5904 0.058165 0.76389 2.4612 0.58598 0.24268 0.16864 0.46688 0.44517 0.3335 0.23051 0.39768 1.0781 0.22268 0.11753 0.35689 -0.043994 -0.047329 0.030699 -0.15638 0.15521 0.42383 0.044133 0.0093128 0.037428 0.037134 0.39496 0.0804 0.10709 1.9468 0.26401 0.2576 0.28223 -0.18991 1.1034 -0.045275 -0.0030714].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.033873 -0.11734 0.0077294 0.027969 -0.065432 -0.0325 0.47149 0.048284 0.024827 0.00018133 0.27945 -0.10934 -0.10941 -0.12566 0.037002 0.13275 0.011004 -0.3232 0.0017527 -0.0095524 0.37954 0.038067 0.028784 0.13944 -0.21045 0.42903 0.0047418 0.074212 -0.38481 -0.00071786 0.15369 0.2088 0.19802 -0.086491 0.22661 -0.157 -0.01531 -0.088222 0.011707 0.13652 0.035519 0.038378 -0.020356 0.1419 -0.12446 -0.22588 0.19326 0.058181 -0.064965 -0.050454 0.10394 -0.084271 0.030239 0.18028 -0.25513 0.18967 -0.028802].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.59715 0.2416 -0.17642 -0.087286 -0.046835 0.07785 -0.056872 0.054401 -0.023011 0.11606 0.094171 -0.0087 0.16118 0.044081 0.085807 -0.17122 0.71738 -0.036603 -0.012011 0.14603 0.17182 0.00046927 0.27341 0.35883 -0.11232 -0.01644 0.018009 -0.0050044 1.557 -0.23582 -0.031528 -0.16516 -0.21404 0.16467 0.54549 0.088525 0.0078326 0.006595 -0.08131 -0.0093506 0.046181 -0.088852 -0.021861 -0.077101 0.22712 0.082661 0.38164 -0.12594 -0.00064016 0.082249 0.096683 -0.13855 0.16484 0.062009 1.2978 0.026858 -0.077845].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.039113 -0.018169 0.10604 0.036873 -0.091468 -0.047872 -0.036993 -0.87231 0.039294 -0.020933 0.0014111 -0.014818 -0.01501 0.0061551 -0.073155 0.20821 -0.25636 -0.8058 0.0068598 -0.017101 -0.066218 0.077274 0.14022 -0.24838 -0.15518 0.0028353 0.034457 -0.0043746 0.16633 0.17033 -0.048775 0.10176 -0.29332 0.063982 -0.043788 -0.0020071 -0.018232 -0.0086948 0.074042 -0.22858 -0.019617 -0.29664 0.39426 0.09889 -0.22911 0.018684 -0.15452 0.12347 -0.073503 -0.11806 -0.33666 0.086254 -0.067617 -0.0033099 0.16907 -0.019234 0.070841].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0063454 0.14967 -0.069475 0.038918 0.037096 0.0013562 0.078979 0.012905 -0.0084269 -0.0052095 -0.0057038 -0.080871 -0.047546 -0.040837 -0.21496 -0.036976 0.026994 -0.15873 0.0027367 -0.063969 -0.14923 -0.09506 -0.39416 0.062305 -0.16223 0.025828 -0.22947 -0.056553 -0.046018 -0.18386 0.080077 0.06697 -0.022225 -0.13596 -0.096916 -0.026573 -0.0024252 0.0054115 0.017012 0.38 -0.023002 0.26834 -0.21964 -0.23243 0.082296 0.0015784 0.18278 -0.023996 0.075018 0.14756 0.55079 0.068963 -0.066562 -0.037689 0.11085 -0.027162 0.013183].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.034302 0.11932 0.19291 0.021434 0.1011 -0.11268 -0.023388 0.06682 -0.05482 0.023191 -0.065368 0.055446 0.018109 -0.032519 0.2201 -0.03068 0.26912 0.16537 -0.0051018 0.056711 0.13348 0.035234 0.425 -0.30817 0.24395 -0.15368 0.089661 0.090076 0.04247 0.29338 -0.0050204 -0.03831 0.30273 -0.10546 0.13033 -0.073904 -0.050796 -0.014977 0.012219 -0.20974 -0.00051088 -0.0091299 0.16923 0.24816 0.19952 -0.00034395 -0.37997 0.004819 -0.14131 -0.050432 -0.011245 -0.069367 0.16801 -0.0021035 -0.03542 0.034162 -0.035728].
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 [30.94444 8.550965 8.877123 6.74522 5.980383 3.887957 20.20541 6.993769 11.13448 6.913771 2.557857 21.72014 11.78708 8.636654 15.7571 10.33295 6.044321 6.984746 7.304789 12.1694 8.268688 1.68529 9.12654 10.2159 42.21883 59.84841 4.320557 5.169056 194.9253 7.755909 2.945994 14.83901 32.30713 26.79881 33.82734 8.556103 5.397859 8.445356 4.814666 8.101172 4.003904 12.34844 8.040412 1.985441 4.911961 8.528612 10.91961 10.9911 34.77601 61.22473 7.478059 20.43281 9.803514 13.67136 84.25242 8.878731 14.42795].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.46409 -0.012618 0.97761 1.1841 0.28451 0.11127 0.50057 -0.078718 1.4552 -0.35685 0.48719 2.433 0.28469 -0.35645 0.68535 1.0246 -0.038398 0.13244 2.82 0.80404 0.98969 -0.12732 0.46192 1.7601 -0.074608 6.9613 0.056121 0.48396 9.1895 1.4111 0.24111 0.1062 -0.22002 -1.371 1.5845 0.5623 0.00017346 0.057428 -0.0013521 0.0315 0.13851 0.81816 0.2943 1.2254 0.11602 0.50885 0.22886 0.090905 1.0473 1.3615 0.14818 0.082839 0.093485 -0.18834 2.3879 0.45569 0.34604].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11697 0.24089 0.2647 0.48133 -0.23277 0.058667 -0.12754 0.048067 0.90206 -0.1447 0.067791 0.17919 0.0087753 -0.072542 0.44683 0.27045 -0.086631 -0.062939 0.83372 0.19247 -0.016424 -0.18113 0.010422 0.65391 -0.51943 1.925 -0.046176 -0.043807 0.51836 0.42696 -0.01265 -0.031033 -0.19295 0.26062 0.40742 -0.019668 0.48557 -0.14109 0.12196 -0.29979 0.4274 0.93736 1.778 0.051479 0.1732 0.038688 -0.10822 0.22724 0.40596 0.3446 0.53444 0.076109 0.072728 -0.11809 -0.76386 -0.13731 -0.054173].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.14337 0.078918 0.038954 0.59579 0.022478 0.065035 0.021964 0.024465 -0.039762 -0.051758 0.021711 0.075675 0.49338 -0.073715 -0.062025 0.21291 -0.0034267 0.2564 0.33095 -0.086906 -0.017422 0.030897 0.028538 0.12429 -0.11626 -0.081293 -0.0064434 0.0016307 0.27102 0.55383 -0.034033 -0.26286 -0.040747 0.37383 0.082418 -0.0044025 0.093288 -0.19824 0.018845 0.22696 0.018533 0.0068824 0.2792 0.079643 0.025269 0.084119 -0.18422 0.24399 0.10709 0.057833 -0.68712 0.060572 0.013453 0.063382 -0.020539 0.31474 0.02022].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.084528 -0.00042551 -0.50419 -0.017742 -0.10178 0.0072758 -0.081874 -0.1249 -0.081313 -0.24899 -0.13408 -0.23537 -0.45847 0.10167 0.050337 0.047284 -0.0031029 0.027791 0.051313 -0.10575 -0.030027 -0.056799 -0.012334 -0.33156 -0.14361 -0.09528 0.016162 -0.19016 -0.021446 -0.22807 -0.12363 0.15843 0.12189 -0.0060686 -0.16326 0.064671 0.0631 0.1944 -0.031854 -0.07324 0.049407 -0.66809 0.081441 0.0026593 -0.014816 0.018517 0.3516 0.038757 -0.39345 -0.29197 0.043727 -0.11225 -0.030383 0.14628 0.042164 -0.12909 -0.75182].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.046162 0.00051399 -0.0071111 -0.00015424 0.074413 -0.063612 0.066639 0.114 0.081368 0.19811 0.05372 -0.23023 0.63587 -0.039331 0.0070508 -0.059359 -0.15778 -0.02032 -0.10734 0.2122 -0.14277 0.078662 0.017846 0.28277 -0.17422 0.15792 -0.054809 0.1958 0.04893 0.25204 0.10354 -0.19347 0.0070078 0.0096778 0.18735 -0.0080951 -0.48918 -0.016773 0.034926 0.077707 -0.053677 -0.071144 0.1895 0.012307 0.0022367 -0.016198 0.11233 -0.11957 0.13999 0.06983 0.04671 0.13112 0.034775 -0.1917 -0.11884 0.068621 -0.10934].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0272 -0.032682 -0.035025 0.03124 0.00086491 0.044186 0.016954 0.0038321 0.0045338 -0.0092943 0.056663 0.54466 -0.14766 0.033087 0.001194 0.032657 0.064374 0.030487 0.11328 -0.026249 0.085223 -0.0228 -0.062967 0.04401 0.14685 0.0014677 0.040734 -0.21375 0.0050527 -0.035064 -0.020806 -0.0097891 -0.09485 -0.16168 -0.0040316 -0.051036 0.4841 -0.0036935 -0.0092016 -0.013332 -0.092956 0.06348 -0.7979 0.016698 -0.16303 0.014214 -0.71241 0.18617 0.063363 0.22024 0.1412 -0.056713 -0.044233 0.50124 -0.12111 0.06282 0.15429].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.24138 0.031423 0.0055593 -0.020938 -0.2574 -0.091912 -0.042379 -0.20549 -0.01495 0.063916 -0.052265 0.050102 0.13063 -0.053794 -0.069696 -0.011185 -0.059622 -0.0056905 -0.018928 -0.22859 -0.15886 0.01534 0.032516 -0.14369 0.041776 -0.029365 0.01667 0.1014 -0.15206 -0.47057 0.08206 0.099154 0.06668 0.15391 -0.0044662 0.015681 -0.41828 -0.02829 0.002135 -0.013359 0.1345 0.01429 0.18572 -0.1016 0.20403 -0.037717 0.17375 0.029325 -0.092277 -0.051349 -0.58604 0.045347 0.040609 0.1577 0.23907 -0.10313 0.036328].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.039387 -0.00061029 -0.13636 0.014614 0.31723 0.15804 0.065751 0.16728 -0.0052425 -0.20008 0.082026 -0.0062143 -0.1141 0.083877 0.024736 0.025779 -0.22715 -0.14988 0.011011 0.12031 0.24569 -0.0096061 -0.046782 0.14797 0.24174 -0.096904 -0.023728 0.043156 -0.30855 0.39775 -0.098878 0.14289 0.031289 -0.11495 -0.017647 -0.05431 0.27128 0.072186 -0.020321 -0.015976 -0.12509 -0.038291 -0.1244 -0.14498 -0.013337 0.038893 -0.16226 -0.091865 -0.035373 0.037086 -0.042613 0.0021508 -0.064444 -0.25693 -0.087247 0.052278 -0.0031389].
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 [0.70273 0.078412 -0.027445 0.12595 -0.058144 0.028926 0.29219 0.041131 -0.39661 0.064502 0.0011352 -0.13388 0.43058 -0.090229 -0.044995 0.12412 0.03556 0.71023 0.0032614 0.18386 0.084053 0.10366 0.19613 0.26583 0.17405 0.24448 0.15927 0.6933 1.5889 -0.60748 0.027103 0.33017 0.24875 0.25598 0.34607 0.1436 -0.176 0.2781 -0.01102 0.18771 -0.0085157 -0.064521 -0.10634 0.12717 0.039961 -0.17437 -0.016254 0.36475 0.15498 -0.10752 0.27147 -0.068789 0.11113 0.0064456 -0.5736 -0.073921 0.10772].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.021662 0.31534 -0.087968 -0.029223 -0.20731 0.14201 -0.10892 0.0040643 0.10623 -0.10562 -0.065042 -0.17674 -0.044451 0.5072 0.10552 0.17701 -0.19651 0.34768 0.00045897 -0.018724 -0.08827 -0.014768 0.13048 0.30538 0.035816 0.22423 0.12476 -0.052593 1.3986 -0.1976 -0.02088 0.15932 0.72783 -0.037222 -0.02778 -0.025823 -0.40487 0.041447 0.074834 -0.11614 -0.0034646 0.029411 0.29334 0.43676 -0.010992 -0.10981 -0.16909 0.25835 0.066419 0.010839 0.0016793 0.025182 0.46508 -0.029509 0.4414 -0.044185 -0.13632].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.42334 -0.41579 -0.0012018 -0.12846 0.011597 0.041222 0.078554 0.011326 0.23516 -0.0034707 0.082749 0.11789 -0.020834 0.065973 -0.059579 0.10606 -0.15946 0.18573 0.11562 0.003782 0.4014 -0.10794 0.044144 0.23059 0.46839 -0.0072027 -0.12688 -0.049313 0.16409 -0.059956 -0.071889 2.2694e-05 1.0103 -0.37717 0.11749 0.48129 0.0852 0.048044 0.029738 -0.35294 -0.011321 -0.1428 0.013915 -0.23963 -0.011116 0.1571 -0.14358 0.36359 -0.55167 0.029262 -0.14286 0.28151 -0.019714 -0.085732 0.22082 0.030373 0.014208].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.099556 -0.19842 0.13735 -0.001022 -0.0052953 -0.36241 0.12291 0.0092825 0.15915 0.013866 -0.037741 -0.088956 -0.034221 0.060434 -0.093942 0.30964 0.0757 -0.25717 0.14567 -0.056953 0.02152 -0.017204 -0.031617 0.0050826 0.17172 0.32997 0.028071 0.00013412 0.79432 -0.061973 0.091223 0.22817 0.95643 0.0038875 -0.09264 0.0047358 -0.097571 0.19497 -0.0022688 -0.4249 -0.28335 -0.39399 0.10319 -0.020553 -0.5111 0.39191 -0.0051969 0.17477 -0.021346 -0.38147 0.3267 0.034061 0.0086347 -0.28703 -0.18507 0.00069712 -0.23008].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.057477 -0.25899 -0.17136 0.1047 -0.088124 0.19302 -0.27097 -0.024876 0.073214 0.064223 0.039324 0.096795 0.063076 -0.12422 0.045073 0.0035915 -0.039632 -0.096539 -0.027569 -0.014721 0.11791 -0.098601 0.13517 0.004138 -0.0072287 -0.049886 0.0062433 -0.051468 -0.11448 -0.10628 -0.051828 -0.21439 0.5319 -0.17834 -0.071373 -0.063836 0.093794 -0.099868 -0.040667 0.30069 0.34604 0.28156 0.056154 0.031266 -0.14733 -0.096312 0.05139 -0.40093 -0.088524 0.13269 0.092848 -0.055577 0.20187 0.63973 -0.059126 -0.10016 0.13936].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.011262 0.58294 -0.042766 -0.13511 0.11148 -0.015816 0.19778 0.036081 0.10595 -0.14617 -0.0020112 -0.051766 -0.15665 0.14358 0.030381 -0.1749 0.03514 -0.040418 0.027497 -0.053951 0.013222 0.1019 -0.064622 0.037477 -0.34394 -0.027223 -0.010056 -0.05849 -0.26618 0.109 0.028416 0.22382 0.43494 0.15209 0.038023 0.068648 0.012448 0.13473 0.0053274 -0.20817 -0.28658 -0.055755 0.20983 -0.052101 0.015968 -0.20483 -0.021061 0.74861 0.1644 0.34323 0.0984 0.057278 -0.39802 -0.030924 0.35557 -0.12926 -0.22166].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.010188 -0.061997 -0.28434 0.10005 -0.0102 0.10881 0.19174 -0.014097 -0.2153 0.10749 -0.034083 0.051955 0.10072 0.029015 -0.13384 0.062657 0.014431 0.17712 -0.039788 0.13342 -0.050309 0.0056811 0.0109 -0.017029 0.32372 -0.78035 -0.0085917 0.088546 0.321 -0.0011864 -0.15325 -0.36196 -0.11099 -0.060673 0.027985 -0.021933 0.012414 -0.15163 -0.038696 0.05023 0.24126 0.10227 -0.28133 -0.23935 0.056511 0.34207 -0.0069441 0.12033 0.0040322 0.00485 -1.4665 0.016224 0.20486 0.015022 -0.10524 0.38 0.16508].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0016388 -0.2536 0.18985 -0.062919 -0.016509 -0.082975 -0.1778 -0.015478 -0.20693 -0.010839 0.034763 0.00015534 0.0092417 -0.043105 -0.094793 -0.14375 -0.0045229 0.10091 0.038116 0.024936 -0.045236 -0.022093 -0.08032 -0.056601 0.078954 -0.22457 -0.0083928 -0.041283 -0.094337 -0.31284 0.16969 -0.22233 -0.04421 -0.11369 -0.0015082 -0.067291 -0.064963 0.12526 0.23168 0.16049 -0.13738 -0.047308 0.14813 0.18362 -0.39499 -0.24027 0.0066465 -0.11588 0.0033721 0.079006 0.18531 -0.085915 -0.30473 -0.13459 -0.39339 -0.1931 0.0070078].
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 [0.032506 -0.15448 0.0061443 0.012217 0.0020813 0.19085 0.26858 0.015795 -0.99267 -0.0013727 -0.13865 -0.41956 0.014013 0.75982 -0.61334 0.038102 -0.063189 -0.00056333 0.097607 0.18251 0.046537 -0.010668 -0.03374 -0.14797 0.0039593 -0.30835 0.040635 -0.11528 -0.20507 0.92564 0.04523 -0.0090033 -0.10571 0.11718 -4.1395 -0.52151 0.15396 0.14123 0.11461 0.078417 0.231 -0.022658 -0.0075896 0.17476 -0.13783 -0.014924 0.036127 -0.10113 0.28702 -0.019296 -0.057998 0.12896 -0.14416 0.077588 0.51845 -0.052907 0.0033918].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.43142 0.00020462 0.14809 0.16721 0.26113 -0.11643 0.0078022 -0.26278 0.69141 0.059351 -0.11934 -0.038103 -0.094731 -0.3154 -0.012185 0.015652 -0.021674 0.10336 0.11132 -0.2128 0.016137 0.036593 0.0048615 -0.20893 0.31695 0.016723 -0.15708 -0.060285 -0.12808 0.089077 -0.3363 0.36462 -0.14605 -0.088504 -0.0135 0.069077 -0.32041 -0.037323 0.25285 0.10231 -0.048477 -0.15783 0.28049 0.049885 0.024373 -0.10344 -0.079922 -0.3281 0.30766 0.018863 -0.039983 0.090869 -0.083155 0.1265 -0.41418 0.056284 0.072943].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.084708 0.011311 -0.032847 -0.049872 -0.1211 -0.014473 -0.26634 -0.003998 0.060982 -0.38788 -0.055579 0.018207 -0.068445 0.048742 -0.1146 -0.10297 0.077157 -0.13918 0.014364 0.0084545 -0.055286 -0.0099778 -0.01779 -0.053718 -0.08817 -0.099328 0.046226 -0.054962 -0.010041 -0.019767 -0.068683 -0.0041707 -0.057797 -0.012347 0.044744 -0.15323 -0.039345 0.057559 0.018253 0.041806 0.018716 0.36861 -0.35997 -0.083461 -0.065168 -0.11197 -0.014801 0.15955 -0.36715 -0.31962 0.25972 -0.068659 -0.038893 0.082698 -0.38387 0.012053 -0.093371].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17766 0.3101 0.043001 0.12165 0.1629 -0.075681 -0.010564 -0.0020939 0.027984 0.43824 0.0074294 -0.032411 -0.0093964 0.14064 -0.079061 -0.22308 0.015167 1.1993 -0.0037226 -0.12068 -0.015823 -0.43683 -0.66886 -0.10301 -0.11697 0.010952 0.044871 0.25541 0.4752 0.25994 -0.013923 -0.26204 0.018625 0.18075 -0.19619 0.091527 -0.61369 0.078049 0.014563 0.023477 -0.032485 -0.0083855 -0.18566 -0.028687 0.0079691 0.028504 0.4396 0.18421 0.16187 0.2294 0.11937 0.15657 -0.23006 -0.25918 -0.53687 0.70332 0.029263].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.010759 -0.078094 -0.01159 0.0021881 -0.082257 0.019428 -0.035612 0.0072285 0.015515 -0.13876 -0.010535 -0.32533 0.0016361 -0.39995 -0.034472 0.21747 0.12461 0.12574 0.065316 -0.18241 0.051004 0.78956 -0.39011 0.17531 0.056014 0.0061354 -0.0046966 -0.085637 -0.16212 -0.18993 -0.01212 0.23638 -0.041938 -0.19225 0.20658 0.042429 0.10439 -0.15608 -0.12302 -0.013498 0.0046373 0.12416 0.25601 -0.020397 -0.0082014 0.029724 -0.13902 -0.13764 -0.054782 -0.57048 -0.024152 -0.18965 0.44859 -0.23683 0.018152 -0.0053494 -0.036613].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.679 0.75374 0.0022459 0.093434 0.14395 0.0098153 0.017717 -0.11657 -0.0068142 -0.01496 -0.0046641 0.21819 -0.013401 0.45973 0.17999 -0.059857 -0.094717 -0.015561 0.021201 0.3419 -0.13779 0.16292 -0.072253 -0.039255 -0.016056 -0.042808 0.0097044 0.027428 0.0073895 0.20172 0.025153 0.055327 0.039555 0.40682 -0.012265 0.014658 -0.08943 0.058624 0.12513 0.051276 0.011877 -0.42782 0.029028 -0.088192 -0.022738 0.017845 0.19692 -0.089838 0.043627 0.053564 -0.14192 0.057261 -0.18097 0.47724 -0.26444 0.0065647 0.0015313].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.09374 -0.30152 -0.00068817 -0.081824 -0.090588 -0.0038295 0.023153 0.12951 -0.049385 -0.19437 -0.0061892 0.13989 -0.25384 0.038865 -0.018955 0.026026 -0.59749 0.016263 -0.004658 -0.02153 0.14773 -0.13175 0.54039 0.080167 -0.14784 -0.018647 -0.010962 -0.21596 0.16413 -0.0097874 0.0054839 0.040862 -0.22571 -0.016192 -0.37855 -0.016781 0.083544 -0.072229 0.055766 -0.11646 -0.010309 0.64962 -0.027022 0.1058 0.016268 -0.069345 -0.1451 0.41615 -0.21458 0.04332 0.20395 0.04933 -0.2748 -0.017198 0.1162 -0.052574 0.03664].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.029916 0.29697 0.00094017 0.17199 0.035464 0.029658 -0.097021 -0.0095056 0.049945 0.26551 0.0064731 0.13316 0.2622 -0.018637 -0.29377 0.048573 0.16423 -0.036092 -0.024918 -0.019632 -0.060284 0.11178 -0.097403 0.13764 0.17946 -0.011648 0.0025947 0.07873 -0.065742 -0.0095993 -0.04774 -0.063077 0.16564 -0.26576 0.33362 0.010748 -0.036728 0.097825 -0.11484 -0.15237 -0.16678 0.0072677 -0.047119 -0.016898 -0.0090239 -0.024415 0.20525 -0.15607 -0.072673 -0.083616 0.0049466 -0.0052927 0.39469 -0.0092728 0.26352 -0.0010781 -0.020496].
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 [-0.011652 0.18109 0.10593 -0.095508 -0.39466 0.17824 0.0069748 -0.12565 0.14907 0.25427 -0.19881 0.22867 0.057143 0.073788 0.20386 0.10042 0.0086258 -0.77388 0.10639 0.0076672 -0.041415 -0.082575 0.10004 0.024321 0.10297 0.085968 -0.096053 0.14823 -0.28799 0.53975 -0.26649 0.0015378 -0.27563 -0.0074808 -0.21367 -0.27448 0.029411 -0.0058407 -0.21276 -0.029985 0.076643 0.10749 -0.060667 0.15396 -0.034952 -0.35712 -0.060247 0.23307 0.066623 0.13817 -0.026151 0.013019 0.0049497 0.31668 0.33412 -1.1815 -0.17255].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.031666 -0.05458 0.30145 0.085443 -0.04689 0.0085983 -0.037787 0.013661 -0.010133 0.38299 -0.033457 -0.0044821 -0.075244 0.09743 0.17637 0.45523 -0.13438 -0.022121 0.017194 0.013587 -0.17456 0.24188 -0.053513 0.37285 -0.19177 0.15576 0.12603 -0.19981 -0.10385 0.29247 -0.13414 0.025436 0.15748 0.036491 -0.3964 0.065523 -0.033886 0.046067 0.051332 0.15498 -0.74664 0.0086257 -0.01585 0.13836 -0.2913 -0.5695 -0.058226 0.16973 0.00059226 -0.32503 0.051316 0.068658 0.20774 0.049052 0.049216 0.08503 0.31151].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.12154 0.17769 0.10675 0.54819 -0.16921 0.063488 -0.36464 -0.0052928 0.036056 -0.13483 0.061305 -0.77185 -0.019616 -0.063718 -0.10477 -0.041242 -0.0064296 0.089099 0.054853 0.17013 0.04341 -0.24182 -0.21107 -0.078085 -0.17341 -0.06575 0.006218 0.026224 1.0652 0.7878 0.21706 0.023664 -0.0061352 -0.22029 -1.9493 0.0041489 -0.25159 0.010184 0.0042788 -0.055395 0.28608 0.002129 0.089212 -0.089265 0.037593 0.15934 0.0063612 0.10592 -0.040859 -0.061728 0.02346 -0.067604 0.014345 -0.0082798 0.2852 -0.04622 0.076596].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.38462 0.13974 0.066663 -0.026078 0.061939 0.26803 -0.00050998 0.15505 -0.035767 -0.011696 -0.062482 -0.13311 -0.00066034 -0.26527 -0.043977 -0.14563 0.059942 -0.044062 0.021944 0.098171 -0.012449 0.21417 -0.31569 -0.042594 -0.01604 -0.43247 -0.085888 -0.10455 1.9263 0.13015 -0.0029817 0.071401 0.0023216 0.18472 -0.098137 -0.003552 -0.003163 0.052127 -0.0039525 -0.18207 0.025604 -1.2106 -0.043532 -0.17033 -0.37827 -0.0034365 0.052585 0.22102 0.06844 -0.43708 0.10316 -0.055762 -0.072076 0.0063769 0.034111 0.16006 0.080013].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0064318 -0.076041 -0.001467 -0.069413 0.065373 -0.17292 0.073774 -0.26022 -0.0743 8.3084e-05 0.054946 0.010576 -0.23998 0.24181 -0.099561 0.068743 0.0049905 -0.0021196 -0.10912 -0.096249 -0.16811 -0.32991 0.60194 0.038046 0.045776 0.38999 -0.10921 0.11755 -0.5472 -0.1432 0.030357 -0.22892 -0.018785 0.0050539 0.13967 -0.11702 0.0066573 -0.089114 -0.0010615 0.15488 -0.01977 -0.02132 0.098446 0.42735 0.078988 -0.02618 0.032056 0.14514 0.17753 0.34235 0.016341 0.080678 0.13227 0.015215 0.016338 -0.054967 0.0018055].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.37454 0.006222 -0.027243 0.067067 -0.17599 -0.13995 -0.036405 0.23697 0.16144 -0.081696 0.0017965 0.044135 0.34717 -0.042983 0.10629 0.04733 -0.092057 -0.035014 0.060728 -0.2687 0.16517 0.28747 0.057353 -0.1049 -0.13777 0.15778 0.22272 0.0066236 0.70097 -0.12948 -0.18332 0.16062 -0.051717 -0.19825 0.0027286 0.075882 -0.0032091 -0.039346 -0.0043725 -0.19479 0.031444 -0.047666 -0.01955 0.25124 0.39938 0.032113 -0.087006 -0.24757 -0.3059 -0.033657 -0.0043377 -0.24629 0.024681 -0.18508 -0.071661 -0.22744 0.0014962].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12055 -0.27975 0.050026 -0.01654 -0.020091 0.17244 0.059773 0.021102 0.21566 0.05942 -0.003112 -0.041741 -0.31346 -0.23605 -0.23477 -0.087415 0.039545 0.040511 0.04816 0.25514 -0.0012304 -0.0025959 0.0019027 0.10112 0.076084 0.010144 -0.55823 -0.12192 -0.72732 0.20529 0.044346 0.006121 0.012416 -0.24979 0.059604 -0.017767 8.018e-05 0.026452 -0.025938 0.23537 -0.2741 -0.04369 0.030042 -0.35743 -0.19261 0.00078915 0.073401 -0.12734 0.11647 0.066934 -0.14815 0.25536 0.026656 -0.046125 -0.15361 0.20519 -0.010368].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.00055613 0.36529 0.0043296 0.0052332 0.1547 0.16707 -0.13168 -0.19743 -0.092423 -0.056572 -0.0074879 0.075802 0.25107 0.28713 0.17009 -0.012601 0.054616 0.0055486 0.031213 -0.20259 -0.12784 0.28881 -0.04049 0.0057471 0.034346 -0.13167 -0.0054951 0.12033 1.3009 -0.11915 0.098395 -0.085309 0.055326 0.43087 -0.020866 0.010307 0.038845 0.057113 0.025816 -0.069127 0.2943 0.03603 0.028527 -0.1193 0.16936 0.0014896 -0.16052 0.17802 0.051689 0.027493 -0.17871 0.045533 0.0023904 0.16127 0.14336 0.27324 -0.010618].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.68457 -0.16582 -0.040864 0.048607 0.02322 -0.20513 -0.25258 0.21787 -0.65661 0.071466 0.0097508 -0.084231 -0.051015 0.015004 0.049544 0.16089 0.0012643 -0.0077161 -0.17052 0.25278 0.079346 -0.42838 0.026651 -0.043949 -0.056476 0.12392 0.0040728 -0.027939 0.12134 0.1165 0.04489 0.11717 -0.015716 -0.29909 -0.029957 0.042974 0.0077054 0.044714 -0.01216 0.083409 -0.011481 0.011633 -0.018478 0.49758 -0.26971 -0.063402 -0.0065541 0.1858 0.083058 -0.14469 0.34364 -0.21778 -0.041188 -0.017588 0.08422 -0.46284 0.018946].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.41916 0.1566 0.026536 -0.057801 -0.14863 0.12018 -0.23911 -0.21724 0.82736 -0.035277 -0.017665 -0.087836 -0.0016407 -0.010781 -0.0095025 -0.020221 -0.22565 -0.02924 0.11793 -0.5967 0.04671 -0.95081 0.014278 0.046351 0.02243 0.017206 0.011695 0.018549 -0.19284 -0.17415 -0.20686 0.027598 0.017696 0.17612 0.0084426 -0.0088493 -0.035844 -0.041144 0.025011 -0.38918 -0.089807 -0.0279 -0.058166 -0.88368 0.15993 0.062776 0.1147 -0.32345 0.092068 0.029976 -0.10521 0.16321 0.012248 -0.11298 -0.019218 0.48748 -0.014576].
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 [0.0077152 -0.36083 0.14515 0.023841 -0.62606 -0.006879 0.059618 0.057394 0.098942 -0.079482 -0.00848 -0.19637 0.057066 -0.022298 0.063981 -0.05189 -0.2577 1.3 -0.27323 0.1463 -0.0013577 0.25315 0.047151 0.46731 -1.544 0.12515 0.08831 -0.044593 0.14767 0.17623 0.28618 -0.043198 -0.023927 -0.098384 -0.10474 0.25933 0.034271 0.016053 0.020014 -0.16025 0.26864 -0.047879 0.2318 -0.069751 -0.010436 0.0085908 0.012447 -0.093581 0.017718 -0.34521 0.043912 0.17418 0.18777 -0.19535 -0.36876 0.24953 -0.17899].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11417 -0.066847 -0.041804 -0.032092 0.038125 -0.021295 0.031025 0.14431 -0.37048 -0.038892 0.023633 -0.071091 0.07159 0.035175 0.041287 0.030806 -0.056486 -0.075221 0.046458 -0.044535 -0.1435 0.26257 -0.30709 0.021409 0.26724 -0.12427 0.14797 0.0033222 0.26951 -0.27695 -0.20791 -0.014538 0.3483 0.063 0.22662 -0.11258 -0.10256 -0.0078736 -0.19453 -0.23005 0.01761 0.027205 0.0015588 -0.4353 -0.10026 -0.1297 -0.27714 0.024452 0.41959 0.36973 0.25753 -0.62533 -0.016861 -0.077434 -0.10172 -0.19898 0.18321].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.31076 -0.083958 0.10017 0.30809 -0.31572 -0.084011 -0.0017405 -0.096968 0.042624 0.0039497 -0.10765 -0.0065726 -0.16816 -0.45027 -0.38929 -0.072583 0.0030871 -0.27991 -0.017776 0.0073001 -0.53758 -0.029943 0.0019677 0.198 0.063764 -0.14486 -0.30098 0.079977 0.47349 -0.00596 -0.13037 0.052605 0.0041498 0.44809 0.075037 -0.18536 -0.25636 0.0098072 0.096065 0.15446 -0.24295 -0.14818 -0.034543 0.1331 0.13985 0.12165 -0.0019996 -0.51099 -0.0037379 -0.11225 0.22248 0.026425 0.0086204 0.032053 0.0633 -0.1033 -0.19697].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0055843 -0.024594 -0.10343 -0.032412 0.010594 -0.38848 -0.050925 -0.032976 0.047999 -0.038504 -0.03342 -0.054574 -0.032935 0.073445 0.40812 -1.2186 -0.016146 -0.19289 0.075578 -0.11113 -0.0068888 -0.13535 0.085076 0.0062086 -0.072893 -0.39549 0.20618 -0.040617 0.01867 0.086659 0.3207 0.19798 -0.020378 0.0062495 -0.26493 0.07538 -0.51757 -0.012045 0.0071791 0.0019073 0.03484 -0.067237 -0.15777 0.076394 0.22697 -0.02792 0.034388 0.0095719 0.15804 -0.56522 0.23242 0.207 0.16847 0.054383 -0.027662 -0.21262 0.024295].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.017672 -0.025459 0.092907 -0.33007 -0.12135 0.2946 -0.0044511 0.03086 0.057659 0.034365 0.0024249 -0.1805 0.060089 0.0042612 -0.1699 -0.0066554 -0.043277 0.19849 0.008594 -0.025883 -0.12923 0.2169 -0.0036779 0.023583 0.066803 0.074109 0.018299 0.056145 -0.23002 0.13035 -0.15516 -2.8284e-05 0.15096 -0.031711 0.56779 -0.095498 -0.052251 0.012833 -0.033347 0.01141 -0.096551 0.075328 -0.29563 -0.03594 0.12895 0.053307 -0.0026611 0.023279 0.064627 0.11945 -1.2291 -0.0647 0.11082 -0.11838 -0.064798 0.16944 -0.17422].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0012629 -0.015534 -0.12213 0.089488 0.13286 -0.070463 -0.11308 -0.036486 0.031908 -0.099065 0.085655 0.20104 0.011739 -0.055445 0.11917 0.032459 0.029633 -0.028497 -0.4874 0.11721 -0.0090874 -0.30985 -0.03089 -0.059093 0.02557 -0.10613 -0.15577 -0.10052 0.21623 -0.34064 0.04597 -0.1016 -0.14254 -0.10768 0.010733 -0.13239 0.096181 0.0042105 -0.0039629 -0.062797 0.13481 -0.045344 0.39258 -0.043962 -0.13707 -0.010248 -0.015112 0.0022769 -0.17444 -0.097783 -0.11633 -0.11975 -0.31497 0.08852 0.059626 0.090908 0.18211].
# 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/R29_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 32207 s