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On the Geometrical Convergence of Gibbs Sampler inRd

โœ Scribed by Chii-Ruey Hwang; Shuenn-Jyi Sheu


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
273 KB
Volume
66
Category
Article
ISSN
0047-259X

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โœฆ Synopsis


The geometrical convergence of the Gibbs sampler for simulating a probability distribution in R d is proved. The distribution has a density which is a bounded perturbation of a log-concave function and satisfies some growth conditions. The analysis is based on a representation of the Gibbs sampler and some powerful results from the theory of Harris recurrent Markov chains.


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