Foundations of Bayesianism
Book information
Description
Foundations of Bayesianism is an authoritative collection of papers addressing the key challenges that face the Bayesian interpretation of probability today. Some of these papers seek to clarify the relationships between Bayesian, causal and logical reasoning. Others consider the application of Bayesianism to artificial intelligence, decision theory, statistics and the philosophy of science and mathematics. The volume includes important criticisms of Bayesian reasoning and also gives an insight into some of the points of disagreement amongst advocates of the Bayesian approach. The upshot is a plethora of new problems and directions for Bayesians to pursue. The book will be of interest to graduate students or researchers who wish to learn more about Bayesianism than can be provided by introductory textbooks to the subject. Those involved with the applications of Bayesian reasoning will find essential discussion on the validity of Bayesianism and its limits, while philosophers and others interested in pure reasoning will find new ideas on normativity and the logic of belief.
Similar books
Rural Livelihood and Environmental Sustainability in China
2021 · PDF
Betriebswirtschaftslehre - Schnell erfasst
2019 · PDF
Networks and Groups: Models of Strategic Formation
2003 · PDF
Labor Market Policies in Canada and Latin America: Challenges of the New Millennium
2001 · PDF
Economics of Income Redistribution
1997 · PDF
The Economics and Policies of Integration — a Finnish Perspective
1996 · PDF
A Mathematical Approach to Proportional Representation: Duncan Black on Lewis Carroll
1996 · PDF
Risk and Medical Decision Making
2002 · PDF