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.
Citation
Hee Min Choi. Jorge Carlos Román. "Analysis of Polya-Gamma Gibbs sampler for Bayesian logistic analysis of variance." Electron. J. Statist. 11 (1) 326 - 337, 2017. https://doi.org/10.1214/17-EJS1227
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