In reading about computing weight of evidence, the calculations suggest
(to me) that BUGS should be able to compute weight of evidence since it
computes likelihoods. However, all the BUGS examples I see compute
posteriors of parameters given the data, but what seems to be needed for
"weight of evidence" is the likelihood of the hypothesis given the data,
integrated across the parameter space. For a general example of what I
would like more information on calculating, see the binomial example at:
http://en.wikipedia.org/wiki/Bayes_factor
Could one calculate the Bayes Factor for this example using BUGS, and if
so, how is it is done? If not BUGS, what software might be suggested
for estimating the likelihood of the hypothesis given the data (note,
this is not the same as estimating the maximum likelihood).
Thanks for anything you can provide.
Warren Schlechte
HOH Fisheries Science Center
5103 Junction Hwy
Mt. Home, TX 78058
Phone 830.866.3356 x214
Fax 830.866.3549
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