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Markov Chain Monte Carlo: The Gibbs Sampler and the Metropolis Algorithm

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Tools for Statistical Inference

Part of the book series: Springer Series in Statistics ((SSS))

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Abstract

To motivate the Gibbs sampler, we consider a modification of data augmentation which we will refer to as chained data augmentation. The Gibbs sampler turns out to be a multivariate extension of chained data augmentation.

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© 1996 Springer-Verlag New York, Inc.

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Tanner, M.A. (1996). Markov Chain Monte Carlo: The Gibbs Sampler and the Metropolis Algorithm. In: Tools for Statistical Inference. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4024-2_6

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  • DOI: https://doi.org/10.1007/978-1-4612-4024-2_6

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-8471-0

  • Online ISBN: 978-1-4612-4024-2

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