A unifying framework for Bayesian analysis in discrete nonparametric settings is proposed. To this aim, a general class of nonparametric discrete prior distributions on an arbitrary sample space is introduced. The general structure of the posterior and predictive distributions and an explicit updating mechanism for the posterior are developed. (C) 2003 Elsevier B.V. All rights reserved.
Ongaro, A., Cattaneo, C. (2004). Discrete random probability measures: A general framework for nonparametric Bayesian inference. STATISTICS & PROBABILITY LETTERS, 67(1), 33-45 [10.1016/j.spl.2003.11.014].
Discrete random probability measures: A general framework for nonparametric Bayesian inference
ONGARO, ANDREA;
2004
Abstract
A unifying framework for Bayesian analysis in discrete nonparametric settings is proposed. To this aim, a general class of nonparametric discrete prior distributions on an arbitrary sample space is introduced. The general structure of the posterior and predictive distributions and an explicit updating mechanism for the posterior are developed. (C) 2003 Elsevier B.V. All rights reserved.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
