Subsampling the Gibbs sampler: variance reduction

Steven N. MacEachern and Mario Peruggia

Statistics & Probability Letters, 2000, vol. 47, issue 1, 91-98

Abstract: Subsampling the output of a Gibbs sampler in a non-systematic fashion can improve the efficiency of marginal estimators if the subsampling strategy is tied to the actual updates made. We illustrate this point by example, approximation, and asymptotics. The results hold both for random-scan and fixed-scan Gibbs samplers.

Keywords: Bayesian; analysis; Efficiency; Estimation; Markov; chains; Monte; Carlo; Stationary; time; series (search for similar items in EconPapers)
Date: 2000
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Citations: View citations in EconPapers (2)

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