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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© 2009 Springer-Verlag New York
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Albert, J. (2009). Multiparameter Models. In: Bayesian Computation with R. Springer, New York, NY. https://doi.org/10.1007/978-0-387-92298-0_4
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DOI: https://doi.org/10.1007/978-0-387-92298-0_4
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