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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Taylor & Francis
2019
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| 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 |