Overview
- Suits MCMC users with a statistical background is the first book completely devoted to the study of MCMC from a statistical point of view
- Provides a unified view of the theory of many MCMC methods
Part of the book series: SpringerBriefs in Statistics (BRIEFSSTATIST)
Part of the book sub series: JSS Research Series in Statistics (JSSRES)
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About this book
Keywords
- Bayesian Statistics
- Ergodicity
- Large sample theory
- Markov chain Monte Carlo
- Stochastic Process
Authors and Affiliations
Bibliographic Information
Book Title: Stability of Markov Chain Monte Carlo Methods
Authors: Kengo Kamatani
Series Title: SpringerBriefs in Statistics
Publisher: Springer Tokyo
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Author(s), under exclusive licence to Springer Japan KK 2025
Softcover ISBN: 978-4-431-55256-7Due: 22 January 2025
eBook ISBN: 978-4-431-55257-4Due: 22 January 2025
Series ISSN: 2191-544X
Series E-ISSN: 2191-5458
Edition Number: 1
Number of Pages: VI, 104
Number of Illustrations: 10 b/w illustrations