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A Geometric Variational Approach to Bayesian Inference

We propose a novel Riemannian geometric framework for variational inference in Bayesian models based on the nonparametric Fisher–Rao metric on the manifold of probability density functions. Under the square-root density representation, the manifold can be identified with the positive orthant of the...

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Bibliografski detalji
Izdano u:J Am Stat Assoc
Glavni autori: Saha, Abhijoy, Bharath, Karthik, Kurtek, Sebastian
Format: Artigo
Jezik:Inglês
Izdano: 2019
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7540671/
https://ncbi.nlm.nih.gov/pubmed/33041402
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2019.1585253
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