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Use of ParInt for Parallel Computation of Statistics Integrals

We present applications of ParInt, a package of Parallel and distributed multivariate Integration algorithms. The integrals arise in Bayesian statistical computation. The integrals are transformed according to the methods of Genz and Kass 10]. The parallel integration algorithms are based on subregion partitioning. An overview of ParInt and its graphical user interface is given and the parallel speedups are discussed for the problems under consideration.