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Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation
The American Statistician ( IF 1.8 ) Pub Date : 2024-01-23 , DOI: 10.1080/00031305.2024.2308821 Xinkai Zhou 1 , Qiang Heng 2 , Eric C. Chi 3 , Hua Zhou 1
The American Statistician ( IF 1.8 ) Pub Date : 2024-01-23 , DOI: 10.1080/00031305.2024.2308821 Xinkai Zhou 1 , Qiang Heng 2 , Eric C. Chi 3 , Hua Zhou 1
Affiliation
This paper advocates proximal Markov Chain Monte Carlo (ProxMCMC) as a flexible and general Bayesian inference framework for constrained or regularized estimation. Originally introduced in the Baye...
中文翻译：
用于约束和正则估计的贝叶斯推理的近端 MCMC
本文主张将近端马尔可夫链蒙特卡罗（ProxMCMC）作为一种灵活且通用的贝叶斯推理框架，用于约束或正则化估计。最初是在Baye中引入的...
更新日期：2024-01-24
中文翻译：
用于约束和正则估计的贝叶斯推理的近端 MCMC
本文主张将近端马尔可夫链蒙特卡罗（ProxMCMC）作为一种灵活且通用的贝叶斯推理框架，用于约束或正则化估计。最初是在Baye中引入的...
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