Some samplers (e.g. PolyChord) have settings that allow you to find the maximum likelihood point at the end of a run. It would be nice to incorporate that piece of information somehow into anesthetic.
This initially came up in #313 (comment).
Things worth considering:
- Is there a way of turning this maximum likelihood point into a final nested samples point (with a non-zero weight)?
- Alternatively, would it be simples to add it as a zero weight point?
- Could it be added with
logL=max(logL) and logL_birth=max(logL)? Would that correctly determine the weight to be zero or nan?
- In how far would this need to be handled differently between
MCMCSamples and NestedSamples?
Some samplers (e.g. PolyChord) have settings that allow you to find the maximum likelihood point at the end of a run. It would be nice to incorporate that piece of information somehow into anesthetic.
This initially came up in #313 (comment).
Things worth considering:
logL=max(logL)andlogL_birth=max(logL)? Would that correctly determine the weight to be zero or nan?MCMCSamplesandNestedSamples?