Garfield 发表于 2025-3-21 16:56:18

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使人入神 发表于 2025-3-21 23:10:06

Textbook 2006structor. The topics include several results or methods that have not appeared in a graduate text before. In fact, the book can be used also as a second course in Bayesian analysis if the instructor supplies more details. Chapter 1 provides a quick review of classical statistical inference. Some kno

harangue 发表于 2025-3-22 01:31:37

https://doi.org/10.1007/978-0-387-35433-0statistical computing; statistical inference; statistics

极力证明 发表于 2025-3-22 05:28:46

978-1-4419-2303-5Springer-Verlag New York 2006

飓风 发表于 2025-3-22 11:40:34

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Metamorphosis 发表于 2025-3-22 13:03:42

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entail 发表于 2025-3-22 18:59:47

Springer Texts in Statisticshttp://image.papertrans.cn/a/image/155146.jpg

讥笑 发表于 2025-3-22 23:46:04

1431-875X oductory books on Bayesian analysis, none has quite our blend of theory, methods, and ap­ plications. We believe a beginning graduate student taking a Bayesian course or just trying to find out what it means to be a Bayesian ought to have some familiarity with all three aspects. More specialization

感情 发表于 2025-3-23 02:47:42

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TRAWL 发表于 2025-3-23 09:13:43

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查看完整版本: Titlebook: An Introduction to Bayesian Analysis; Theory and Methods Jayanta K. Ghosh,Mohan Delampady,Tapas Samanta Textbook 2006 Springer-Verlag New Y