Galois is pleased to host the following tech talk. These talks are open to the interested public. Please join us!
title: Empirical Sampling With Haskell
speaker: Chad Scherrer
time: Tuesday, 10 May 2011, 10:30am
location:
Galois Inc.
421 SW 6th Ave. Suite 300,
Portland, OR, USA
(3rd floor of the Commonwealth building)
abstract:
Sampling from a large discrete distribution is a common problem in statistics. In this talk, we’ll consider a real-world situation where the properties of the distribution cause common approaches to break down, and we’ll arrive at a Haskell-based solution that fixes the problem.
bio:
Chad Scherrer works in the Computational Mathematics group at Pacific Northwest National Laboratory. His research interests include computational statistics, Bayesian modeling, and functional programming.