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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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| Publicado no: | Entropy (Basel) |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8000646/ https://ncbi.nlm.nih.gov/pubmed/33800820 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23030313 |
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