走调 发表于 2025-3-26 21:59:25

https://doi.org/10.1007/978-981-99-4997-7In this chapter, we describe the use of R to summarize Bayesian models with several unknown parameters. In learning about parameters of a normal population or multinomial parameters, posterior inference is accomplished by simulating from distributions of standard forms.

conduct 发表于 2025-3-27 05:05:12

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cloture 发表于 2025-3-27 07:26:35

Multiparameter Models,In this chapter, we describe the use of R to summarize Bayesian models with several unknown parameters. In learning about parameters of a normal population or multinomial parameters, posterior inference is accomplished by simulating from distributions of standard forms.

Adulterate 发表于 2025-3-27 13:01:11

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受伤 发表于 2025-3-27 16:44:58

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期满 发表于 2025-3-27 19:49:12

978-0-387-92297-3Springer-Verlag New York 2009

新手 发表于 2025-3-27 23:26:03

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Lyme-disease 发表于 2025-3-28 05:52:04

Use R!http://image.papertrans.cn/b/image/181832.jpg

Munificent 发表于 2025-3-28 08:30:47

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Collected 发表于 2025-3-28 12:50:39

The Immigrant Human Capital Investment Modelrtion. Before taking data, one has beliefs about the value of the proportion and one models his or her beliefs in terms of a prior distribution. We will illustrate the use of different functional forms for this prior. After data have been observed, one updates one’s beliefs about the proportion by c
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查看完整版本: Titlebook: Bayesian Computation with R; Jim Albert Textbook 2009Latest edition Springer-Verlag New York 2009 Bayesian Inference.Hierarchical modeling