Table of contents
About this book
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.
Editors and affiliations
- Book Title Foundations of Bayesianism
- Series Title Applied Logic Series
- DOI https://doi.org/10.1007/978-94-017-1586-7
- Copyright Information Springer Science+Business Media B.V. 2001
- Publisher Name Springer, Dordrecht
- eBook Packages Springer Book Archive
- Hardcover ISBN 978-1-4020-0223-6
- Softcover ISBN 978-90-481-5920-8
- eBook ISBN 978-94-017-1586-7
- Series ISSN 1386-2790
- Edition Number 1
- Number of Pages XIII, 416
- Number of Illustrations 6 b/w illustrations, 0 illustrations in colour
Philosophy of Science
Probability Theory and Stochastic Processes
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