Generalized Direct Sampling for Hierarchical Bayesian Models

Statistics – Computation

Scientific paper

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Scientific paper

In this paper, we develop a new method to sample from posterior distributions in hierarchical models without using Markov chain Monte Carlo. This method is generally applicable to high-dimensional models involving large data sets. Illustrative analysis exemplifies the ease with which one could implement our method, which results in independent samples from the posterior distributions of interest.

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