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Markov chain Monte Carlo methods: Theory and practice

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Publication:5126219
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DOI10.1016/BS.HOST.2019.06.001zbMath1444.62136OpenAlexW3021270873MaRDI QIDQ5126219

David A. Spade

Publication date: 15 October 2020

Published in: Handbook of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/bs.host.2019.06.001


zbMATH Keywords

convergenceBayesian statisticsmixing timeMetropolis-HastingsLyapunov conditions


Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Numerical analysis or methods applied to Markov chains (65C40) Statistical aspects of big data and data science (62R07)


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Networks as mediating variables: a Bayesian latent space approach







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