Acyclic Monte Carlo: where sequential Monte Carlo meets renormalisation
Add to your list(s)
Download to your calendar using vCal
If you have a question about this talk, please contact Mustapha Amrani.
Advanced Monte Carlo Methods for Complex Inference Problems
AMC is a method of constructing the sequence of probability densities for SMC using ideas from renormalization, which can be seen as SMC done in the reverse.
This talk is part of the Isaac Newton Institute Seminar Series series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
|