Invariant HPD credible sets and MAP estimators

نویسندگان

  • Pierre Druilhet
  • Jean-Michel Marin
چکیده

Abstract. MAP estimators and HPD credible sets are often criticized in the literature because of paradoxical behaviour due to a lack of invariance under reparametrization. In this paper, we propose a new version of MAP estimators and HPD credible sets that avoid this undesirable feature. Moreover, in the special case of non-informative prior, the new MAP estimators coincide with the invariant frequentist ML estimators. We also propose several adaptations in the case of nuisance parameters.

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تاریخ انتشار 2007