[ADMB Users] MLE and SE are satisfactory, but Bayesian samples are NOT.
shyunuw at gmail.com
Fri May 4 10:08:10 PDT 2012
>From my TPL and DAT files, the estimates (i.e., MLE) and its SE are
reasonable. However, Bayesian samples from the same codes are not
satisfactory in terms of diagnosis. I ran large MCMC runs (e.g., >
20 million runs), thinning samples at an enough interval (e.g., every
5000 runs). Despite that, the posterior samples are not
satisfactory. I wonder what kind of additional commands I should
try. I used only the following commands: (i) -mcmc; (ii) -mcsave,
and (iii) -mceval. Thank you.
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