Abstract
In this paper, we develop a nonparametric Bayesian methodology of estimating an unknown distribution function F at the given survival time with current status data under the assumption of Dirichlet process prior on F. We compare our algorithm with the nonparametric maximum likelihood estimator through application to simulated data and real data.
Published Version (Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have