Incorporating new and updated information, this second edition of the bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critiques statistical analysis from a Bayesian perspective. Changes in the new edition include: added material on how Bayesian methods are connected to other approaches, stronger focus on MCMC, added chapter on further computation topics, more examples, and additional chapters on current models for Bayesian data analysis such as equation models, generalized linear mixed models, and more. The book is an introductory text and a reference for working scientists throughout their professional life
This book describes how Bayesian methods work. Its primary aim is to demystify them, and to show rea...
This chapter provides a general overview of Bayesian statistical methods. Topics include the notion ...
This chapter provides an overview of the Bayesian approach to data analysis, modeling, and statistic...
Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter ...
There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most i...
This is a 20 page chapter for the upcoming Handbook of Statistical Systems Biology (D. Balding, M. S...
This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis ...
This richly illustrated textbook covers modern statistical methods with applications in medicine, ep...
Bayesian Econometric Methods examines principles of Bayesian inference by posing a series of theoret...
This chapter provides a overview of Bayesian inference, mostly emphasising that it is a universal me...
Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowled...
The Bayesian researcher should know the basic ideas underlying Bayesian methodology and the computat...
The revised second edition of this textbook provides the reader with a solid foundation in probabili...
Since 1990, Bayesian statistical methods have undergone major advances, both in estimation technique...
This is a chapter for the book "Bayesian Methods and Expert Elicitation" edited by Klaus Bocker, 23 ...
This book describes how Bayesian methods work. Its primary aim is to demystify them, and to show rea...
This chapter provides a general overview of Bayesian statistical methods. Topics include the notion ...
This chapter provides an overview of the Bayesian approach to data analysis, modeling, and statistic...
Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter ...
There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most i...
This is a 20 page chapter for the upcoming Handbook of Statistical Systems Biology (D. Balding, M. S...
This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis ...
This richly illustrated textbook covers modern statistical methods with applications in medicine, ep...
Bayesian Econometric Methods examines principles of Bayesian inference by posing a series of theoret...
This chapter provides a overview of Bayesian inference, mostly emphasising that it is a universal me...
Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowled...
The Bayesian researcher should know the basic ideas underlying Bayesian methodology and the computat...
The revised second edition of this textbook provides the reader with a solid foundation in probabili...
Since 1990, Bayesian statistical methods have undergone major advances, both in estimation technique...
This is a chapter for the book "Bayesian Methods and Expert Elicitation" edited by Klaus Bocker, 23 ...
This book describes how Bayesian methods work. Its primary aim is to demystify them, and to show rea...
This chapter provides a general overview of Bayesian statistical methods. Topics include the notion ...
This chapter provides an overview of the Bayesian approach to data analysis, modeling, and statistic...