Bayesian density estimation and model selection using nonparametric hierarchical mixtures-Reference-Cited by-同舟云学术

Bayesian density estimation and model selection using nonparametric hierarchical mixtures

Published:2010-04 Issue:4 Volume:54 Page:816-832
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Argiento Raffaele,Guglielmi Alessandra,Pievatolo Antonio

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference38 articles.

1. Argiento, R., Guglielmi, A., Pievatolo, A., 2008. Nonparametric Bayesian mixture modelling for failure time data. Technical report no. 08.3-MI, CNR IMATI, Milano

2. A comparison of nonparametric priors in hierarchical mixture modelling for AFT regression;Argiento;Journal of Statistical Planning and Inference,2009

3. Marginal Likelihood and Bayes factors for Dirichlet process mixture models;Basu;Journal of the American Statistical Association,2003

4. Bayesian and conditional frequentist testing of a parametric model versus nonparametric alternatives;Berger;Journal of the American Statistical Association,2001

5. Generalized gamma measures and shot-noise Cox processes;Brix;Advances in Applied Probability,1999

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