Learned Harmonic Mean Estimation of the Marginal Likelihood with Normalizing Flows-Reference-Cited by-同舟云学术

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Learned Harmonic Mean Estimation of the Marginal Likelihood with Normalizing Flows

Published:2023-11-29 Issue: Volume: Page:
ISSN:
Container-title:The 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
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Author:

Polanska Alicja¹^ORCID,Price Matthew A.¹,Spurio Mancini Alessio¹,McEwen Jason D.¹²

Affiliation:

1. Mullard Space Science Laboratory, University College London, Dorking RH5 6NT, UK

2. Alan Turing Institute, London NW1 2DB, UK

Publisher

MDPI

Link

https://www.mdpi.com/2673-9984/9/1/10/pdf

Reference15 articles.

1. Current challenges in Bayesian model choice;Clyde;Statistical Challenges in Modern Astronomy IV,2007

2. Estimating the evidence—A review;Friel;Stat. Neerl.,2012

3. Nested sampling for general Bayesian computation;Skilling;Bayesian Anal.,2006

4. Nested sampling for physical scientists;Ashton;Nat. Rev. Methods Prim.,2022

5. McEwen, J.D., Wallis, C.G., Price, M.A., and Spurio Mancini, A. (2023). Machine learning assisted Bayesian model comparison: Learnt harmonic mean estimator. arXiv.

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1. Proximal Nested Sampling with Data-Driven Priors for Physical Scientists;The 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering;2023-12-01

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