Bayesian Methods for Censored Categorical Data

Mcmc Methods for Bayesian Model Comparison with Censored Multivariate Data

Model comparison and selection are among the most common problems of statistical practice, with numerous procedures for choosing “the best” among a class models proposed in the literature (see Kadane and Lazar (2001) for a recent review). However, comparing and selecting among richly parameterized Bayesian hierarchical models challenge standard procedures. Formal Bayesian methods for model sele...

Bayesian Models for Categorical Data

Non-Bayesian Estimation and Prediction under Weibull Interval Censored Data

In this paper, a one-sample point predictor of the random variable X is studied. X is the occurrence of an event in any successive visits $L_i$ and $R_i$ :i=1,2…,n (interval censoring). Our proposed method is based on finding the expected value of the conditional distribution of X given $L_i$ and $R_i$ (i=1,2…,n). To make the desired prediction, our approach is on the basis of approximating the...

Bayesian quantile regression for censored data.

In this paper we propose a semiparametric quantile regression model for censored survival data. Quantile regression permits covariates to affect survival differently at different stages in the follow-up period, thus providing a comprehensive study of the survival distribution. We take a semiparametric approach, representing the quantile process as a linear combination of basis functions. The ba...

Bayesian Two-Sample Prediction with Progressively Type-II Censored Data for Some Lifetime Models

Prediction on the basis of censored data is very important topic in many fields including medical and engineering sciences. In this paper, based on progressive Type-II right censoring scheme, we will discuss Bayesian two-sample prediction. A general form for lifetime model including some well known and useful models such asWeibull and Pareto is considered for obtaining prediction bounds ...