Analysis of Polya-Gamma Gibbs sampler for Bayesian logistic analysis of variance
Electronic Journal of Statistics2017Vol. 11(1)
Citations Over TimeTop 19% of 2017 papers
Abstract
We consider the intractable posterior density that results when the one-way logistic analysis of variance model is combined with a flat prior. We analyze Polson, Scott and Windle’s (2013) data augmentation (DA) algorithm for exploring the posterior. The Markov operator associated with the DA algorithm is shown to be trace-class.
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