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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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| Veröffentlicht in: | J Comput Graph Stat |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Taylor & Francis
2019
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| Schlagworte: | |
| Online Zugang: | 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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