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Reflections on Bayesian inference and Markov chain Monte Carlo
Author(s) -
Craiu Radu V.,
Gustafson Paul,
Rosenthal Jeffrey S.
Publication year - 2022
Publication title -
canadian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.804
H-Index - 51
eISSN - 1708-945X
pISSN - 0319-5724
DOI - 10.1002/cjs.11707
Subject(s) - markov chain monte carlo , bayesian inference , inference , bayesian probability , monte carlo method , computer science , markov chain , hybrid monte carlo , variable order bayesian network , statistical physics , econometrics , artificial intelligence , mathematics , statistics , machine learning , physics
Bayesian inference and Markov chain Monte Carlo methods are vigorous areas of statistical research. Here we reflect on some recent developments and future directions in these fields.

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