Titlebook: Bayesian Computation with R; Jim Albert Textbook 2009Latest edition Springer-Verlag New York 2009 Bayesian Inference.Hierarchical modeling

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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.

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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.

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

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

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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