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Bayesian Update with Importance Sampling: Required Sample Size

Importance sampling is used to approximate Bayes’ rule in many computational approaches to Bayesian inverse problems, data assimilation and machine learning. This paper reviews and further investigates the required sample size for importance sampling in terms of the [Formula: see text]-divergence be...

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Publicat a:Entropy (Basel)
Autors principals: Sanz-Alonso, Daniel, Wang, Zijian
Format: Artigo
Idioma:Inglês
Publicat: MDPI 2020
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7824286/
https://ncbi.nlm.nih.gov/pubmed/33375272
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23010022
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