Inference for Bugs model at "sv_t.bug", fit using WinBUGS,
1 chains, each with 40000 iterations (first 20000 discarded)
n.sims = 20000 iterations saved
mean sd 2.5% 25% 50% 75% 97.5%
mu 0.204 0.065 0.072 0.162 0.206 0.248 0.329
phi 0.933 0.012 0.907 0.925 0.933 0.942 0.956
tau 0.153 0.011 0.135 0.144 0.152 0.161 0.176
beta 1.108 0.036 1.037 1.084 1.108 1.132 1.179
k 2.472 0.170 2.150 2.353 2.469 2.584 2.820
deviance 5862.551 27.480 5831.000 5842.000 5850.000 5873.000 5926.000
DIC info (using the rule, pD = Dbar-Dhat)
pD = 15.7 and DIC = 5878.2
DIC is an estimate of expected predictive error (lower deviance is better).
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