JSM2014, Boston
I submitted my abstract for JSM2014, just in time! Thanks to Veronika Rockova, now at The Wharton School, for organising this IMS session on Advances in Model Selection (Wednesday, 8/6/2014, 8:30)!
| itle: | Automated variable selection for ABC algorithms |
| Abstract: | We discuss here recent advances made in the selection of summaries for approximate Bayesian computation (ABC). In particular, we emphasize the appeal of using machine learning tools such as random forests to build in an automated version summary statistics of a minimum dimension. Conditional to sufficient progress being made in this direction, we will also discuss why and how ABC methods have to be adapted when analyzing large molecular datasets and will present some progress concerning Single Nucleotide Polymorphism (SNP) data. |
| Key words: | Bayesian computation, ABC, SNP, model selection |
December 4, 2013 at 1:49 pm
Sounds like a very interesting project Christian, I look forward to hopefully seeing a European edition of the talk!
December 3, 2013 at 7:46 pm
Glad to see the method (will be) applied to genetics problems. It is a promising field that can use a lot of good Bayesian thinking.