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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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書目詳細資料
發表在:J Comput Graph Stat
Main Authors: Touloupou, Panayiota, Finkenstädt, Bärbel, Spencer, Simon E. F.
格式: Artigo
語言:Inglês
出版: Taylor & Francis 2019
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC7455056/
https://ncbi.nlm.nih.gov/pubmed/32939192
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2019.1654880
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