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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Detalles Bibliográficos
Autores principales: Banerjee, Imon, Rao, Vinayak A., Honnappa, Harsha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000646/
https://www.ncbi.nlm.nih.gov/pubmed/33800820
http://dx.doi.org/10.3390/e23030313

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000646/
https://www.ncbi.nlm.nih.gov/pubmed/33800820
http://dx.doi.org/10.3390/e23030313

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