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Sampling Polya-Gamma random variates: alternate and approximate techniques

Authors :
Windle, Jesse
Polson, Nicholas G.
Scott, James G.
Publication Year :
2014

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.

Subjects

Subjects :
Statistics - Computation

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1405.0506
Document Type :
Working Paper