Semi-parametric Bernstein-von Mises in Linear Inverse Problems

Fuente: arXiv
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Autores principales: Magra, Adel, van der Vaart, Aad, van Zanten, Harry
Formato: Preprint
Publicado: 2023
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author Magra, Adel
van der Vaart, Aad
van Zanten, Harry
author_facet Magra, Adel
van der Vaart, Aad
van Zanten, Harry
contents We consider a Bayesian approach for the recovery of scalar parameters arising in inverse problems. We consider a general signal-in white noise model where we have access to two independent noisy observations of a function, and of a linear transformation of the function. The linear operator is unknown up to a scalar parameter. We present a Bernstein-von Mises theorem for the marginal posterior of the scalar under regularity assumptions of the operator. We further derive Bernstein-von Mises results for different priors and apply them to two concrete examples: the recovery of the thermal diffusivity in a heat equation problem, and the recovery of a location parameter in a semi-blind deconvolution problem.
format Preprint
id arxiv_https___arxiv_org_abs_2310_02883
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Semi-parametric Bernstein-von Mises in Linear Inverse Problems
Magra, Adel
van der Vaart, Aad
van Zanten, Harry
Statistics Theory
62F15, 62E20
We consider a Bayesian approach for the recovery of scalar parameters arising in inverse problems. We consider a general signal-in white noise model where we have access to two independent noisy observations of a function, and of a linear transformation of the function. The linear operator is unknown up to a scalar parameter. We present a Bernstein-von Mises theorem for the marginal posterior of the scalar under regularity assumptions of the operator. We further derive Bernstein-von Mises results for different priors and apply them to two concrete examples: the recovery of the thermal diffusivity in a heat equation problem, and the recovery of a location parameter in a semi-blind deconvolution problem.
title Semi-parametric Bernstein-von Mises in Linear Inverse Problems
topic Statistics Theory
62F15, 62E20
url https://arxiv.org/abs/2310.02883