有罪 发表于 2025-3-30 11:22:26
Qiaohong Zu,Ping Zhou,Xiaomin Zhangn perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades. This increase is largely due to advances in simulation-based computational tools for implementing Bayesian methods...The authorgnarled 发表于 2025-3-30 13:30:54
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Bin Xu,Houfei Fang,Yangqin He,Shuidong Jiang,Lan Lanability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to deal with data on a daily basis; consequently, we have included a great deal of introductory and tutorial material. Any person with the equivalPepsin 发表于 2025-3-31 07:02:23
Wenjia Wu,Lin Shi,Jiaojiao Xiao,Changyou Zhangmming language..The book is divided into four parts. The first part reviews the theoretical background of modeling and Bayesian inference and presents a modeling workflow that makes modeling more engineering than art. The second part discusses the use of Stan, CmdStanR, and CmdStanPy from the very bAllege 发表于 2025-3-31 12:07:40
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Yujie Liu,Wenjia Wu,Wen Bo,Chen Han,Quanxin Zhang,Changyou Zhangmming language..The book is divided into four parts. The first part reviews the theoretical background of modeling and Bayesian inference and presents a modeling workflow that makes modeling more engineering than art. The second part discusses the use of Stan, CmdStanR, and CmdStanPy from the very bdagger 发表于 2025-3-31 17:45:26
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