Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
417211 | Computational Statistics & Data Analysis | 2008 | 13 Pages |
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
Authors
Mingan Yang, Timothy Hanson, Ronald Christensen,