Comments (1)
Hi,
loglstar -- is basically the current log(L) values used for sampling (it means currently the log(L)>logl* pooints are generted)
And since log-likelihood is the log of probability density in high dimensional space, the values themselves can be either large or small depending on the distribution. (i.e. try log-likelihood of N-d Gaussian while varying the sigma, you can make the values arbitrary large or small by changing the sigma).
The log(z) is by construction integral
and again it can be either large or small.
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