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Editorial

Approximate Bayesian Inference

Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo 103-0027, Japan
Entropy 2020, 22(11), 1272; https://doi.org/10.3390/e22111272
Received: 28 October 2020 / Accepted: 6 November 2020 / Published: 10 November 2020
(This article belongs to the Special Issue Approximate Bayesian Inference)
This is the Editorial article summarizing the scope of the Special Issue: Approximate Bayesian Inference. View Full-Text
Keywords: Bayesian statistics; machine learning; variational approximations; PAC-Bayes; expectation-propagation; Markov chain Monte Carlo; Langevin Monte Carlo; sequential Monte Carlo; Laplace approximations; approximate Bayesian computation; Gibbs posterior Bayesian statistics; machine learning; variational approximations; PAC-Bayes; expectation-propagation; Markov chain Monte Carlo; Langevin Monte Carlo; sequential Monte Carlo; Laplace approximations; approximate Bayesian computation; Gibbs posterior
MDPI and ACS Style

Alquier, P. Approximate Bayesian Inference. Entropy 2020, 22, 1272. https://doi.org/10.3390/e22111272

AMA Style

Alquier P. Approximate Bayesian Inference. Entropy. 2020; 22(11):1272. https://doi.org/10.3390/e22111272

Chicago/Turabian Style

Alquier, Pierre. 2020. "Approximate Bayesian Inference" Entropy 22, no. 11: 1272. https://doi.org/10.3390/e22111272

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