Garfield 发表于 2025-3-21 16:56:18
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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 knoharangue 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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http://reply.papertrans.cn/16/1552/155146/155146_6.pngentail 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
http://reply.papertrans.cn/16/1552/155146/155146_9.pngTRAWL 发表于 2025-3-23 09:13:43
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