Sampling Polya-Gamma random variates: alternate and approximate techniques
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.
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