Bernstein-von Mises theorem for log-concave posteriors

Fuente: arXiv
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Autor principal: Brunel, Victor-Emmanuel
Formato: Preprint
Publicado: 2026
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author Brunel, Victor-Emmanuel
author_facet Brunel, Victor-Emmanuel
contents We prove new, general versions of Bernstein-von Mises theorem for both well-specified and misspecified models when the log-likelihood is concave in the parameter and the prior distribution is log-concave. Unlike classical versions of Bernstein-von Mises theorem, our versions do not require technical smoothness assumptions, and they solely rely on convex analysis.
format Preprint
id arxiv_https___arxiv_org_abs_2602_10256
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Bernstein-von Mises theorem for log-concave posteriors
Brunel, Victor-Emmanuel
Statistics Theory
We prove new, general versions of Bernstein-von Mises theorem for both well-specified and misspecified models when the log-likelihood is concave in the parameter and the prior distribution is log-concave. Unlike classical versions of Bernstein-von Mises theorem, our versions do not require technical smoothness assumptions, and they solely rely on convex analysis.
title Bernstein-von Mises theorem for log-concave posteriors
topic Statistics Theory
url https://arxiv.org/abs/2602.10256