Cover Image

Nonparametric Bayesian estimation of a bivariate density with interval censored data

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.
Year of publication:
2008
Authors: Yang, Mingan ; Hanson, Timothy ; Christensen, Ronald
Published in:
Computational Statistics & Data Analysis. - Elsevier, ISSN 0167-9473. - Vol. 52.2008, 12, p. 5202-5214
Publisher: Elsevier
Online Resource
Check full text access |
Check Google Scholar
In libraries world-wide (WorldCat)
In German libraries (KVK)
subito order
I need help
Type of publication: Article
Source:
Persistent link: https://www.econbiz.de/10005130939
Similar items by person