A Proximal Markov Chain Monte Carlo Method for Bayesian Inference in Imaging Inverse Problems: When Langevin Meets Moreau - Archive ouverte HAL
Article Dans Une Revue SIAM Review Année : 2022

A Proximal Markov Chain Monte Carlo Method for Bayesian Inference in Imaging Inverse Problems: When Langevin Meets Moreau

Marcelo Pereyra
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hal-04398550 , version 1 (16-01-2024)

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Alain Durmus, Éric Moulines, Marcelo Pereyra. A Proximal Markov Chain Monte Carlo Method for Bayesian Inference in Imaging Inverse Problems: When Langevin Meets Moreau. SIAM Review, 2022, 64 (4), pp.991-1028. ⟨10.1137/22M1522917⟩. ⟨hal-04398550⟩
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