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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Multiparameter Models. (2007). In Bayesian Computation with R (pp. 57–74). Springer New York. https://doi.org/10.1007/978-0-387-71385-4_4
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