The field of survival analysis emerged in the 20th century and experienced tremendous
growth during the latter half of the century. The developments in this field that have had the …

The concept of frailty offers a convenient way to introduce unobserved heterogeneity and
associations into models for survival data. In its simplest form, frailty is an unobserved …

Several topics are addressed, including parametric models, semiparametric models based
on prior processes, proportional and non-proportional hazards models, frailty models, cure …

Sampling from the posterior distribution and computing posterior quanti ties of interest using
Markov chain Monte Carlo (MCMC) samples are two major challenges involved in advanced …

Survival analysis, the analysis of failure time data, is a rapid developing area and a number
of books on the topic have been published in last twenty-five years. However, all of these …

This book provides an accessible approach to Bayesian computing and data analysis, with
an emphasis on the interpretation of real data sets. Following in the tradition of the …

This book reviews the state-of-the-art advances in skew-elliptical distributions and provides
many new developments in a single volume, collecting theoretical results and applications …

Using the clickstream data recorded in Web server log files, the authors develop and
estimate a model of the browsing behavior of visitors to a Web site. Two basic aspects of …

We review the current state of nonparametric Bayesian inference. The discussion follows a
list of important statistical inference problems, including density estimation, regression …

The univariate skew-normal distribution was introduced by Azzalini in 1985 as a natural
extension of the classical normal density to accommodate asymmetry. He extensively …