PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models

PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models

Datasets displaying temporal dependencies abound in science and engineering applications, with Markov models representing a simplified and popular view of the temporal dependence structure. In this paper, we consider Bayesian settings that place prior distributions over the parameters of the transit...

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Bibliographic Details
Main Authors: Imon Banerjee, Vinayak A. Rao, Harsha Honnappa
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Entropy
Subjects:
ergodicity
Markov chain
probably approximately correct
variational Bayes
Online Access:https://www.mdpi.com/1099-4300/23/3/313

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