We consider the smoothed histograms by gamma densities for an i.i.d. sample defined on the positive real line. Under sufficient conditions on the bandwidth and the density function, we obtain the asymptotic behavior, the lower and upper bound of the expected average absolute error of this...

In this paper, it is shown, in the general case, that a multiple causes death model is equivalent to a competing independent risks model.

In this paper, a very general model of survival data with (exclusive or inclusive) right censoring, explanatory processes and a baseline predictable hazard function is considered in the ocntezt of nonparametric Bayasian analysis. particular cases are semiparametric proportional hazards and...

In this paper, a very general model of survival data with (exclusive or inclusive) right censoring, explanatory processes and a baseline predictable hazard function is considered in the ocntezt of nonparametric Bayasian analysis. particular cases are semiparametric proportional hazards and...

We analyse the model in which the latent durations Ti are i.i.d. generated by a distribution F. The statistician observes Yi= min (ti, Ci) and Ai=1I {Ti <= Ci} where ci is a censoring time. The prior probability on F is a Dirichlet process Di (n0F0).

In this paper, minimal conditions under which a semi-parametric binary response model is identified in a Bayesian framework are presented and compared to the conditions usually required in a sampling theory framework.

This article is a review of nonparametric Bayesian Survival Analysis and is a part of a contribution of the Encyclopedia of Biostatistics to be published by John Wiley and Sons Ltd. Most of the prior specifications proposed in the literature since Ferguson's seminal paper are presented witha...