Add to ORKGThis is an updated, revised and enlarged edition of Howson and Urbach's account of scientific method from the Bayesian standpoint. The book offers both an introduction to probability theory and a philosophical commentary on scientific inference. This new edition includes chapter exercises and extended material on topics such as regression analysis, distributions densities, randomisation and conditionalisation
This book describes how Bayesian methods work. Its primary aim is to demystify them, and to show rea...
The range of Bayesian inference algorithms and their different applications has been greatly expande...
Unlike most other statistical frameworks, Bayesian statistical inference is wedded to a particular a...
Bayesianism is the position that scientific reasoning is probabilistic and that probabilities are ad...
This is a 20 page chapter for the upcoming Handbook of Statistical Systems Biology (D. Balding, M. S...
Foundations of Bayesianism is an authoritative collection of papers addressing the key challenges th...
Book description: The articles in this volume deal with the main inferential methods that can be app...
This chapter provides a overview of Bayesian inference, mostly emphasising that it is a universal me...
This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It ge...
This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It ge...
This book provides a multi-level introduction to Bayesian reasoning (as opposed to "conventional sta...
Foundations of Bayesianism is an authoritative collection of papers addressing the key challenges th...
The Importance of Bayesian Reasoning in Everyday Life and Science Michael Gr. Voskoglou 1 and Evang...
Bayesianism is the position that scientific reasoning is probabilistic and that probabilities are ad...
This richly illustrated textbook covers modern statistical methods with applications in medicine, ep...
This book describes how Bayesian methods work. Its primary aim is to demystify them, and to show rea...
The range of Bayesian inference algorithms and their different applications has been greatly expande...
Unlike most other statistical frameworks, Bayesian statistical inference is wedded to a particular a...
Bayesianism is the position that scientific reasoning is probabilistic and that probabilities are ad...
This is a 20 page chapter for the upcoming Handbook of Statistical Systems Biology (D. Balding, M. S...
Foundations of Bayesianism is an authoritative collection of papers addressing the key challenges th...
Book description: The articles in this volume deal with the main inferential methods that can be app...
This chapter provides a overview of Bayesian inference, mostly emphasising that it is a universal me...
This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It ge...
This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It ge...
This book provides a multi-level introduction to Bayesian reasoning (as opposed to "conventional sta...
Foundations of Bayesianism is an authoritative collection of papers addressing the key challenges th...
The Importance of Bayesian Reasoning in Everyday Life and Science Michael Gr. Voskoglou 1 and Evang...
Bayesianism is the position that scientific reasoning is probabilistic and that probabilities are ad...
This richly illustrated textbook covers modern statistical methods with applications in medicine, ep...
This book describes how Bayesian methods work. Its primary aim is to demystify them, and to show rea...
The range of Bayesian inference algorithms and their different applications has been greatly expande...
Unlike most other statistical frameworks, Bayesian statistical inference is wedded to a particular a...