Adaptive Reduced Tempering for Bayesian Inverse Problems and Rare Event Simulation

Authors

Mathias Rousset (ORCID: https://orcid.org/0000-0001-6232-0702)
Patrick Héas (ORCID: https://orcid.org/0000-0001-6860-7149)
Frédéric Cérou (ORCID: https://orcid.org/0000-0002-8752-0492)

Institutions

Institut de recherche mathématique de Rennes (FR)

Publication Details

Journal: SIAM/ASA Journal on Uncertainty Quantification
Published: 2025-12-08
DOI: https://doi.org/10.1137/24m170510x
Primary Topic: Probability and Risk Models
Type: article
Field-Weighted Citation Impact: 0.00

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article

Adaptive Reduced Tempering for Bayesian Inverse Problems and Rare Event Simulation

Mathias Rousset, Patrick Héas, Frédéric Cérou

Dec 8, 2025

SIAM/ASA Journal on Uncertainty Quantification

Probability and Risk Models

article

Adaptive Reduced Tempering for Bayesian Inverse Problems and Rare Event Simulation

Mathias Rousset, Patrick Héas, Frédéric Cérou

December 8, 2025article en

Abstract

No abstract available for this paper.

SIAM/ASA Journal on Uncertainty QuantificationVol. 13(4)

Institut de recherche mathématique de Rennes (FR)

Openalex Percentile: Top 56%

Probability and Risk Models

DOI Open Access PDF OpenAlex

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Adaptive Reduced Tempering for Bayesian Inverse Problems and Rare Event Simulation — Mathias Rousset, Patrick Héas, et al. · SIAM/ASA Journal on Uncertainty Quantification (2025) | TGRS Research Map | TGRS