Gibbs Sampler and Its Variants

Adrian Barbu and Song-Chun Zhu
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Adrian Barbu: Florida State University, Department of Statistics
Song-Chun Zhu: University of California, Los Angeles, Departments of Statistics and Computer Science

Chapter 5 in Monte Carlo Methods, 2020, pp 97-121 from Springer

Abstract: Abstract The Gibbs sampler [9], first created by the Geman brothers Donald and Stewart, is an MCMC algorithm for obtaining samples from distributions that are difficult to sample.

Date: 2020
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DOI: 10.1007/978-981-13-2971-5_5

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