Scalable Bayesian Inference for Coupled Hidden Markov and Semi-Markov Models

Bayesian inference for coupled hidden Markov models frequently relies on data augmentation techniques for imputation of the hidden state processes. Considerable progress has been made on developing such techniques, mainly using Markov chain Monte Carlo (MCMC) methods. However, as the dimensionality...

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Detalles Bibliográficos
Autores principales: Touloupou, Panayiota, Finkenstädt, Bärbel, Spencer, Simon E. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2019
Materias:
Scalable and Efficient Computation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7455056/
https://www.ncbi.nlm.nih.gov/pubmed/32939192
http://dx.doi.org/10.1080/10618600.2019.1654880

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7455056/
https://www.ncbi.nlm.nih.gov/pubmed/32939192
http://dx.doi.org/10.1080/10618600.2019.1654880

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