Article ID Journal Published Year Pages File Type
417211 Computational Statistics & Data Analysis 2008 13 Pages PDF
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.

Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
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