Bayesian Analysis of Constrained Parameter and Truncated Data Problems

摘要: Abstract : Bayesian analysis of constrained parameter and truncated data problems is complicated by the seeming need for, typically multidimensional, numerical integrations over awkwardly defined regions. This paper illustrates how Gibbs sampler approach to calculation (Gelfand Smith, 1990) avoids these difficulties leads straightforwardly implemented procedures, even for apparently very model forms.