The growth of biostatistics has been phenomenal in recent years and has been marked by
considerable technical innovation in both methodology and computational practicality. One …

This work provides descriptions, explanations and examples of the Bayesian approach to
statistics, demonstrating the utility of Bayesian methods for analyzing real-world problems in …

This review examines the state of Bayesian thinking as Statistics in Medicine was launched
in 1982, reflecting particularly on its applicability and uses in medical research. It then looks …

In recent years, Bayesian methods have seen an explosion of interest, with applications in
fields including biochemistry, ecology, medicine, oncology, pharmacology, and public …

READ ALL ABOUT IT! David Spiegelhalter has recently joined the ranks of Isaac Newton,
Charles Darwin and Stephen Hawking by becoming a fellow of the Royal Society …

Bayesian methods combine the evidence from the data at hand with previous quantitative
knowledge to analyse practical problems in a wide range of areas. The calculations were …

This book is based on over a dozen years teaching a Bayesian Statistics course. The
material presented here has been used by students of different levels and disciplines …

This book originated from a set of lecture notes for a one-quarter graduatelevel course
taught at the University of Washington. The purpose of the course is to familiarize the …

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 …

A hands-on introduction to computational statistics from a Bayesian point of view Providing a
solid grounding in statistics while uniquely covering the topics from a Bayesian perspective …