pith. sign in

arxiv: 1405.0506 · v1 · pith:XIMNCI6Unew · submitted 2014-05-02 · 📊 stat.CO

Sampling Polya-Gamma random variates: alternate and approximate techniques

classification 📊 stat.CO
keywords distributionsamplingefficientlyolya-gammaalternateapproximateaugmentationbuild
0
0 comments X
read the original abstract

Efficiently sampling from the P\'olya-Gamma distribution, ${PG}(b,z)$, is an essential element of P\'olya-Gamma data augmentation. Polson et. al (2013) show how to efficiently sample from the ${PG}(1,z)$ distribution. We build two new samplers that offer improved performance when sampling from the ${PG}(b,z)$ distribution and $b$ is not unity.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.