I’ve been trying to figure out how to use Markov Chain Monte
Carlo for Bayesian analysis and there is (at least) one aspect that
I’m not getting. Basically, I’m not sure how variances are
optimized.
To use a simple example (for which an analytic solution exists),
let’s use a linear slope (b) forc
lt;[EMAIL PROTECTED]>...
> On 19 Jan 2002 10:25:10 -0800, [EMAIL PROTECTED] (Brian Leung)
> wrote:
>
> > Greetings,
> >
> > I've read that the likelihood ratio test is not valid for non-nested
> > models. Is this still true if the PF (i.e., multinomi
Greetings,
I've read that the likelihood ratio test is not valid for non-nested
models. Is this still true if the PF (i.e., multinomial) is the same,
but the link function differs.
Thanks,
Brian
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