/
summary_big_basicGP.txt
123 lines (119 loc) · 9.75 KB
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summary_big_basicGP.txt
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Inference for Stan model: Matern32Poisson_basicGP_model
1 chains: each with iter=(1000); warmup=(0); thin=(1); 1000 iterations saved.
Warmup took (2458) seconds, 41 minutes total
Sampling took (1827) seconds, 30 minutes total
Mean MCSE StdDev 5% 50% 95% N_Eff N_Eff/s R_hat
lp__ 1645 6.1e+000 3.2e+001 1594 1647 1698 29 1.6e-002 1.0e+000
accept_stat__ 0.84 2.6e-002 2.0e-001 0.38 0.93 1.00 59 3.2e-002 1.0e+000
stepsize__ 0.041 5.9e-017 4.2e-017 0.041 0.041 0.041 0.50 2.7e-004 1.0e+000
treedepth__ 7.6 2.0e-002 5.0e-001 7.0 8.0 8.0 663 3.6e-001 1.0e+000
n_leapfrog__ 225 1.9e+000 5.5e+001 127 255 255 841 4.6e-001 1.0e+000
divergent__ 0.00 0.0e+000 0.0e+000 0.00 0.00 0.00 1000 5.5e-001-1.$e+000
energy__ -1594 6.2e+000 3.3e+001 -1647 -1595 -1542 29 1.6e-002 1.0e+000
mu 2.3 3.6e-002 7.9e-001 1.2 2.2 3.4 491 2.7e-001 1.0e+000
lscale 0.17 1.5e-002 1.0e-001 0.081 0.15 0.31 48 2.6e-002 1.0e+000
stdev 1.2 6.4e-002 7.9e-001 0.62 1.0 2.2 154 8.4e-002 1.0e+000
x[1] 2.9 5.2e-003 1.6e-001 2.6 2.9 3.2 1000 5.5e-001 1.0e+000
x[2] 2.9 4.0e-003 1.3e-001 2.6 2.9 3.1 1000 5.5e-001 1.0e+000
x[3] 2.8 3.7e-003 1.2e-001 2.6 2.8 3.0 1000 5.5e-001 1.0e+000
x[4] 2.7 9.0e-003 1.2e-001 2.5 2.7 2.9 193 1.1e-001 1.0e+000
x[5] 2.7 9.1e-003 1.3e-001 2.5 2.7 2.9 191 1.0e-001 1.0e+000
x[6] 2.7 3.7e-003 1.2e-001 2.5 2.8 2.9 1000 5.5e-001 1.0e+000
x[7] 2.8 3.6e-003 1.1e-001 2.6 2.8 3.0 1000 5.5e-001 1.0e+000
x[8] 2.9 3.6e-003 1.1e-001 2.7 2.9 3.0 1000 5.5e-001 1.0e+000
x[9] 2.9 3.3e-003 1.1e-001 2.7 2.9 3.0 1000 5.5e-001 1.0e+000
x[10] 2.9 3.2e-003 1.0e-001 2.7 2.9 3.0 1000 5.5e-001 1.0e+000
x[11] 2.9 3.3e-003 1.1e-001 2.7 2.9 3.1 1000 5.5e-001 1.0e+000
x[12] 2.9 3.4e-003 1.1e-001 2.7 2.9 3.1 1000 5.5e-001 1.0e+000
x[13] 2.9 3.4e-003 1.1e-001 2.7 2.9 3.1 1000 5.5e-001 1.0e+000
x[14] 2.9 3.3e-003 1.1e-001 2.8 3.0 3.1 1000 5.5e-001 1.0e+000
x[15] 3.0 3.1e-003 9.9e-002 2.8 3.0 3.2 1000 5.5e-001 1.0e+000
x[16] 3.1 3.0e-003 9.6e-002 2.9 3.1 3.2 1000 5.5e-001 1.0e+000
x[17] 3.1 3.1e-003 9.8e-002 3.0 3.1 3.3 1000 5.5e-001 1.0e+000
x[18] 3.1 3.1e-003 9.9e-002 3.0 3.1 3.3 1000 5.5e-001 1.0e+000
x[19] 3.1 3.2e-003 1.0e-001 2.9 3.1 3.3 1000 5.5e-001 1.0e+000
x[20] 3.1 3.2e-003 1.0e-001 2.9 3.1 3.2 1000 5.5e-001 1.0e+000
x[21] 3.0 3.2e-003 1.0e-001 2.8 3.0 3.2 1000 5.5e-001 1.0e+000
x[22] 2.9 3.2e-003 1.0e-001 2.7 2.9 3.1 1000 5.5e-001 1.0e+000
x[23] 2.8 3.4e-003 1.1e-001 2.6 2.8 3.0 1000 5.5e-001 1.0e+000
x[24] 2.8 3.4e-003 1.1e-001 2.6 2.8 2.9 1000 5.5e-001 1.0e+000
x[25] 2.7 3.4e-003 1.1e-001 2.5 2.7 2.9 1000 5.5e-001 1.0e+000
x[26] 2.7 3.6e-003 1.1e-001 2.5 2.7 2.9 1000 5.5e-001 1.0e+000
x[27] 2.6 3.8e-003 1.2e-001 2.4 2.6 2.8 1000 5.5e-001 1.0e+000
x[28] 2.5 3.8e-003 1.2e-001 2.3 2.5 2.7 1000 5.5e-001 1.0e+000
x[29] 2.4 4.0e-003 1.3e-001 2.2 2.4 2.6 1000 5.5e-001 1.0e+000
x[30] 2.3 4.2e-003 1.3e-001 2.1 2.3 2.5 1000 5.5e-001 1.0e+000
x[31] 2.2 4.9e-003 1.3e-001 2.0 2.2 2.4 751 4.1e-001 1.0e+000
x[32] 2.2 4.4e-003 1.4e-001 1.9 2.2 2.4 1000 5.5e-001 1.0e+000
x[33] 2.1 4.4e-003 1.4e-001 1.9 2.1 2.3 1000 5.5e-001 1.0e+000
x[34] 2.0 4.5e-003 1.4e-001 1.8 2.0 2.3 1000 5.5e-001 1.0e+000
x[35] 2.0 6.1e-003 1.5e-001 1.7 2.0 2.2 598 3.3e-001 1.0e+000
x[36] 1.9 6.2e-003 1.6e-001 1.6 1.9 2.1 661 3.6e-001 1.0e+000
x[37] 1.7 6.2e-003 1.7e-001 1.5 1.7 2.0 714 3.9e-001 1.0e+000
x[38] 1.6 6.0e-003 1.7e-001 1.3 1.6 1.8 831 4.5e-001 1.0e+000
x[39] 1.4 5.8e-003 1.8e-001 1.1 1.4 1.7 1000 5.5e-001 1.0e+000
x[40] 1.2 6.3e-003 2.0e-001 0.90 1.2 1.5 1000 5.5e-001 1.0e+000
x[41] 1.0 8.4e-003 2.2e-001 0.69 1.1 1.4 683 3.7e-001 1.0e+000
x[42] 0.90 1.4e-002 2.4e-001 0.49 0.91 1.3 281 1.5e-001 1.0e+000
x[43] 0.77 1.9e-002 2.5e-001 0.35 0.78 1.2 168 9.2e-002 1.0e+000
x[44] 0.68 2.2e-002 2.6e-001 0.24 0.69 1.1 145 7.9e-002 1.0e+000
x[45] 0.63 2.1e-002 2.6e-001 0.17 0.65 1.0 156 8.5e-002 1.0e+000
x[46] 0.63 2.0e-002 2.6e-001 0.18 0.64 1.0 177 9.7e-002 1.0e+000
x[47] 0.66 1.8e-002 2.6e-001 0.21 0.68 1.0 200 1.1e-001 1.0e+000
x[48] 0.73 1.5e-002 2.5e-001 0.28 0.75 1.1 270 1.5e-001 1.0e+000
x[49] 0.84 1.1e-002 2.4e-001 0.42 0.86 1.2 499 2.7e-001 1.0e+000
x[50] 0.97 8.4e-003 2.3e-001 0.57 0.99 1.3 715 3.9e-001 1.0e+000
x[51] 1.1 7.4e-003 2.1e-001 0.75 1.1 1.4 824 4.5e-001 1.0e+000
x[52] 1.2 6.9e-003 2.0e-001 0.91 1.2 1.6 824 4.5e-001 1.0e+000
x[53] 1.4 6.5e-003 1.9e-001 1.1 1.4 1.7 846 4.6e-001 1.0e+000
x[54] 1.5 7.0e-003 1.9e-001 1.2 1.5 1.8 706 3.9e-001 1.0e+000
x[55] 1.6 6.1e-003 1.8e-001 1.3 1.6 1.9 880 4.8e-001 1.0e+000
x[56] 1.7 5.8e-003 1.8e-001 1.4 1.7 2.0 903 4.9e-001 1.0e+000
x[57] 1.8 5.6e-003 1.7e-001 1.5 1.8 2.0 916 5.0e-001 1.0e+000
x[58] 1.8 5.1e-003 1.6e-001 1.6 1.8 2.1 1000 5.5e-001 1.0e+000
x[59] 1.9 5.0e-003 1.6e-001 1.6 1.9 2.1 1000 5.5e-001 1.0e+000
x[60] 1.9 4.8e-003 1.5e-001 1.7 1.9 2.2 1000 5.5e-001 1.0e+000
x[61] 2.0 4.7e-003 1.5e-001 1.7 2.0 2.2 1000 5.5e-001 1.0e+000
x[62] 2.0 4.7e-003 1.5e-001 1.8 2.0 2.3 1000 5.5e-001 1.0e+000
x[63] 2.1 4.7e-003 1.5e-001 1.8 2.1 2.3 1000 5.5e-001 1.0e+000
x[64] 2.1 7.7e-003 1.5e-001 1.8 2.1 2.3 395 2.2e-001 1.0e+000
x[65] 2.2 5.0e-003 1.6e-001 1.9 2.2 2.4 1000 5.5e-001 1.0e+000
x[66] 2.2 4.6e-003 1.5e-001 2.0 2.3 2.5 1000 5.5e-001 1.0e+000
x[67] 2.4 4.3e-003 1.4e-001 2.1 2.4 2.6 1000 5.5e-001 1.0e+000
x[68] 2.5 4.2e-003 1.3e-001 2.2 2.4 2.7 1000 5.5e-001 1.0e+000
x[69] 2.5 4.1e-003 1.3e-001 2.3 2.5 2.7 1000 5.5e-001 1.0e+000
x[70] 2.5 4.0e-003 1.3e-001 2.3 2.5 2.7 1000 5.5e-001 1.0e+000
x[71] 2.4 4.1e-003 1.3e-001 2.2 2.4 2.6 1000 5.5e-001 1.0e+000
x[72] 2.4 4.1e-003 1.3e-001 2.2 2.4 2.6 1000 5.5e-001 1.0e+000
x[73] 2.4 4.2e-003 1.3e-001 2.1 2.4 2.6 1000 5.5e-001 1.0e+000
x[74] 2.3 4.4e-003 1.4e-001 2.0 2.3 2.5 1000 5.5e-001 1.0e+000
x[75] 2.2 4.6e-003 1.4e-001 1.9 2.2 2.4 1000 5.5e-001 1.0e+000
x[76] 2.0 4.7e-003 1.5e-001 1.8 2.0 2.3 1000 5.5e-001 1.0e+000
x[77] 1.9 4.8e-003 1.5e-001 1.6 1.9 2.1 1000 5.5e-001 1.0e+000
x[78] 1.7 5.0e-003 1.6e-001 1.4 1.7 1.9 1000 5.5e-001 1.0e+000
x[79] 1.5 5.4e-003 1.7e-001 1.2 1.5 1.8 1000 5.5e-001 1.0e+000
x[80] 1.3 9.5e-003 1.9e-001 1.0 1.3 1.6 396 2.2e-001 1.0e+000
x[81] 1.2 1.5e-002 2.1e-001 0.83 1.2 1.5 190 1.0e-001 1.0e+000
x[82] 1.1 1.7e-002 2.2e-001 0.71 1.1 1.4 169 9.2e-002 1.0e+000
x[83] 1.0 1.7e-002 2.3e-001 0.66 1.0 1.4 177 9.7e-002 1.0e+000
x[84] 1.0 1.4e-002 2.2e-001 0.64 1.0 1.4 268 1.5e-001 1.0e+000
x[85] 1.1 8.0e-003 2.1e-001 0.67 1.1 1.4 721 3.9e-001 1.0e+000
x[86] 1.1 7.0e-003 2.0e-001 0.78 1.1 1.4 841 4.6e-001 1.0e+000
x[87] 1.2 6.4e-003 1.9e-001 0.89 1.2 1.5 903 4.9e-001 1.0e+000
x[88] 1.3 5.8e-003 1.8e-001 1.0 1.3 1.6 961 5.3e-001 1.0e+000
x[89] 1.4 5.3e-003 1.7e-001 1.1 1.4 1.7 1000 5.5e-001 1.0e+000
x[90] 1.5 5.1e-003 1.6e-001 1.3 1.5 1.8 1000 5.5e-001 1.0e+000
x[91] 1.7 4.9e-003 1.5e-001 1.4 1.7 1.9 1000 5.5e-001 1.0e+000
x[92] 1.8 4.7e-003 1.5e-001 1.6 1.8 2.1 1000 5.5e-001 1.0e+000
x[93] 1.9 4.6e-003 1.5e-001 1.7 1.9 2.2 1000 5.5e-001 1.0e+000
x[94] 2.1 7.0e-003 1.5e-001 1.8 2.1 2.3 444 2.4e-001 1.0e+000
x[95] 2.2 4.6e-003 1.5e-001 2.0 2.2 2.4 1000 5.5e-001 1.0e+000
x[96] 2.3 4.5e-003 1.4e-001 2.0 2.3 2.5 1000 5.5e-001 1.0e+000
x[97] 2.3 4.3e-003 1.4e-001 2.1 2.3 2.6 1000 5.5e-001 1.0e+000
x[98] 2.4 4.3e-003 1.4e-001 2.1 2.4 2.6 1000 5.5e-001 1.0e+000
x[99] 2.4 4.7e-003 1.5e-001 2.1 2.4 2.7 1000 5.5e-001 1.0e+000
x[100] 2.4 5.9e-003 1.9e-001 2.1 2.4 2.7 1000 5.5e-001 1.0e+000
Samples were drawn using hmc with nuts.
For each parameter, N_Eff is a crude measure of effective sample size,
and R_hat is the potential scale reduction factor on split chains (at
convergence, R_hat=1).