Nonparametric Bayesian Estimation of Survival Curves from Incomplete Observations 论文
1976Journal of the American Statistical Association引用 223
Bayesian Methods and Mixture ModelsStatistical Methods and InferenceStatistical Methods and Bayesian Inference
摘要
Abstract This article presents a nonparametric Bayesian estimator of a survival curve based on incomplete or arbitrarily right-censored data. This estimator, a Bayes estimator under a squared-error loss function assuming a Dirichlet process prior, is shown to be a Bayesian extension of the usual product limit (Kaplan-Meier) nonparametric estimator.