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Variationally Inferred Sampling through a Refined Bound

In this work, a framework to boost the efficiency of Bayesian inference in probabilistic models is introduced by embedding a Markov chain sampler within a variational posterior approximation. We call this framework “refined variational approximation”. Its strengths are its ease of implementation and...

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Detalhes bibliográficos
Publicado no:Entropy (Basel)
Main Authors: Gallego, Víctor, Ríos Insua, David
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7832329/
https://ncbi.nlm.nih.gov/pubmed/33477766
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23010123
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