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Journal of Computational and Graphical Statistics Volume 22, 2013 - Issue 4
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Articles: Bayesian Nonparametrics

Flexible Multivariate Density Estimation With Marginal Adaptation

Paolo Giordani Research Department, Sveriges Riksbank, Stockholm, SE, 103 37, Sweden
,
Xiuyan Mun Australian School of Business, University of New South Wales, Sydney, NSW, 2052, Australia
,
Minh-Ngoc Tran Australian School of Business, University of New South Wales, Sydney, NSW, 2052, Australia
&
Robert Kohn Australian School of Business, University of New South Wales, Sydney, NSW, 2052, Australia
Pages 814-829 | Received 01 Jan 2012, Published online: 21 Oct 2013

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Minh-Ngoc Tran, Paolo Giordani, Xiuyan Mun, Robert Kohn & Michael K. Pitt. (2014) Copula-Type Estimators for Flexible Multivariate Density Modeling Using Mixtures. Journal of Computational and Graphical Statistics 23:4, pages 1163-1178.
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D. J. Nott, Y. Fan, L. Marshall & S. A. Sisson. (2014) Approximate Bayesian Computation and Bayes’ Linear Analysis: Toward High-Dimensional ABC. Journal of Computational and Graphical Statistics 23:1, pages 65-86.
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Articles from other publishers (1)

Minh-Ngoc Tran, Michael K. Pitt & Robert Kohn. (2014) Adaptive Metropolis–Hastings sampling using reversible dependent mixture proposals. Statistics and Computing 26:1-2, pages 361-381.
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