Sufficient point process in Bayesian statistical decision

Sufficient point process in Bayesian statistical decision

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Article ID: iaor19901147
Country: Belgium
Volume: 31
Start Page Number: 227
End Page Number: 239
Publication Date: May 1989
Journal: Cahiers du Centre d'tudes de Recherche Oprationnelle
Authors:
Keywords: markov processes
Abstract:

To have a sufficient statistic, is good; to be able to express an optimal decision rule by way of the instantaneous tissue of this statistic, is better. Now a sufficient point process, which is Markovian for every parameter value, gives this if the cost function is fitted to the situation.

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