Journal of Shanghai University(Natural Science Edition) ›› 2010, Vol. 16 ›› Issue (3): 290-296.

• Mathematics.Physics and Chemistry • Previous Articles     Next Articles

Nonparametric Bayesian Estimation Based on Interval Censored Data

ZHOU Li-ping,CHENG Jian-qiang,HE You-hua   

  1. (College of Sciences, Shanghai University, Shanghai 200444, China)
  • Online:2010-06-28 Published:2010-06-28

Abstract:

The nonparametric Bayesian estimation of population distribution with interval censored data based on Dirichlet process as a prior distribution is gived. By random simulation for some common distributions, the effects of some prior distributions on the estimated results are discussed. Comparison between the proposed method and the parametric maximum likelihood method shows similar estimation effects.

Key words: Dirichlet process; interval censored data; Bayesian estimation; nonparametric estimation