论文信息 - Monte Carlo conditioning on a sufficient statistic

Monte Carlo conditioning on a sufficient statistic

SUMMARY In this paper we derive general formulae suitable for Monte Carlo computation of conditional expectations of functions of a random vector given a sufficient statistic. The problem of direct sampling from the conditional distribution is considered in particular. It is shown that this can be done by a simple parameter adjustment of the original statistical model, provided the model has a certain pivotal structure. A connection with a classical problem regarding fiducial and posterior distributions is pointed out.

Bo Henry Lindqvist | Gunnar Taraldsen | B. Lindqvist | G. Taraldsen

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