Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation
The American Statistician ( IF 1.8 ) Pub Date : 2024-02-26 , 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 : 2024-02-26 , DOI: 10.1080/00031305.2024.2308821 Xinkai Zhou 1 , Qiang Heng 2 , Eric C. Chi 3 , Hua Zhou 1
Affiliation
This article advocates proximal Markov chain Monte Carlo (ProxMCMC) as a flexible and general Bayesian inference framework for constrained or regularized estimation. Originally introduced in the Ba...
中文翻译：
用于约束和正则化估计的贝叶斯推断的近端 MCMC
本文提倡将近端马尔可夫链蒙特卡洛 （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。最初在 Ba...
更新日期：2024-02-26
中文翻译：
用于约束和正则化估计的贝叶斯推断的近端 MCMC
本文提倡将近端马尔可夫链蒙特卡洛 （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。最初在 Ba...
京公网安备 11010802027423号