Recently the class of normalized random measures with independent increments, which contains the Dirichlet process as a particular case, has been introduced. Here a new technique for deriving moments of these random probability measures is proposed. It is shown that, a priori, most of the appealing properties featured by the Dirichlet process are preserved. When passing to posterior computations, we obtain a characterization of the Dirichlet process as the only conjugate member of the whole class of normalized random measures with independent increments

Conjugacy as a distinctive feature of the Dirichlet process

LIJOI, ANTONIO;PRUENSTER, IGOR
2006

Abstract

Recently the class of normalized random measures with independent increments, which contains the Dirichlet process as a particular case, has been introduced. Here a new technique for deriving moments of these random probability measures is proposed. It is shown that, a priori, most of the appealing properties featured by the Dirichlet process are preserved. When passing to posterior computations, we obtain a characterization of the Dirichlet process as the only conjugate member of the whole class of normalized random measures with independent increments
2006
2005
James, Lancelot F; Lijoi, Antonio; Pruenster, Igor
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11565/3991414
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