University of Cambridge > > Statistics > Stein's method, information theory and Bayesian statistics

Stein's method, information theory and Bayesian statistics

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact .

In this talk, I will first describe a new general approach to the celebrated Stein method for asymptotic approximations and apply it to diverse approximation problems. Then I will show how Stein’s method can be successfully used in two a priori unrelated domains, namely information theory and Bayesian statistics.

This talk is based on joint work with Gesine Reinert (University of Oxford) and Yvik Swan (Université de Liège).

This talk is part of the Statistics series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2023, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity