To register your interest please contact [email protected] providing details of the course you are teaching. Now in its second edition, this accessible text presents a unified Bayesian ...
confidence intervals and possibly Bayesian posterior distributions, all of which are dependent on probability. And yet, any numerical probability, I will argue — whether in a scientific paper ...
We will examine the foundations of Bayesian probability as well as concrete applications to single case studies, comparative case studies, comparative historical analysis, and multi-methods research.
This book is, without doubt, a must-read for Ph.D. students and researchers in statistics and probability.' Igor Prünster, Università Commerciale Luigi Bocconi, Milan 'Worth waiting for, this book ...