Foundations of Bayesianism

by Corfield, David; Williamson, Jon

• ISBN13: 9781402002236
• ISBN10: 1402002238
• Format: Hardcover
• Copyright: 2002-02-01
• Publisher: Kluwer Academic Pub

Summary

This is an authoritative collection of papers addressing the key challenges that face the Bayesian interpretation of probability today. The volume includes important criticisms of Bayesian reasoning and gives an insight into some of the points of disagreement amongst advocates of the Bayesian approach. It will be of interest to graduate students, researchers, those involved with the applications of Bayesian reasoning, and philosophers.

Table of Contents

Editorial Foreword	vii
Editorial Preface	xiii
Introduction: Bayesianism into the 21st Century	1	(18)
Jon Williamson
David Corfield
Bayesianism, Causality and Networks
Bayesianism and Causality, or, Why I am only a Half-Bayesian	19	(18)
Judea Pearl
Causal Inference without Counterfactuals	37	(38)
Philip Dawid
Foundations for Bayesian Networks	75	(42)
Jon Williamson
Probabilistic Learning Models	117	(20)
Peter Williams
Logic, Mathematics and Bayesianism
The Logic of Bayesian Probability	137	(24)
Colin Howson
Subjectivism, Objectivism and Objectivity in Bruno de Finetti's Bayesianism	161	(14)
Maria Carla Galavotti
Bayesianism in Mathematics	175	(28)
David Corfield
Common Sense and Stochastic Independence	203	(38)
Jeff Paris
Alena Vencovska
Integrating Probabilistic and Logical Reasoning	241	(22)
James Cussens
Bayesianism and Decision Theory
Ramsey and the Measurement of Belief	263	(28)
Richard Bradley
Bayesianism and Independence	291	(18)
Edward F. McClennen
The Paradox of the Bayesian Experts	309	(32)
Philippe Mongin
Criticisms of Bayesianism
Bayesian Learning and Expectations Formation: Anything Goes	341	(22)
Max Albert
Bayesianism and the Fixity of the Theoretical Framework	363	(18)
Donald Gillies
Principles of Inference and their Consequences	381	(24)
Deborah Mayo
Michael Kruse
Index	405