Nonparametric Bayesian estimation of a bivariate density with interval censored data

Mingan Yang, Timothy Hanson and Ronald Christensen

Computational Statistics & Data Analysis, 2008, vol. 52, issue 12, 5202-5214

Abstract: Mixture of Polya trees nonparametric estimation of a bivariate density is presented for interval censored data. Real and simulated data are analyzed and compared with nonparametric maximum likelihood (NPMLE) and Bayesian G-spline estimates. An advantage of the mixture of Polya trees approach over the NPMLE is the relative ease with which continuous bivariate density and hazard plots are obtained.

Date: 2008
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