Foundations Of Bayesianism

Author: D. Corfield
Editor: Springer Science & Business Media
ISBN: 9401715866
File Size: 59,89 MB
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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.
Foundations of Bayesianism
Language: en
Pages: 416
Authors: D. Corfield, J. Williamson
Categories: Science
Type: BOOK - Published: 2013-03-14 - Publisher: Springer Science & Business Media

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
Programming Language Semantics as a Foundation for Bayesian Inference
Language: en
Pages:
Authors: Marcin Szymczak
Categories: Science
Type: BOOK - Published: 2018 - Publisher:

Books about Programming Language Semantics as a Foundation for Bayesian Inference
Mathematical Theory of Bayesian Statistics
Language: en
Pages: 320
Authors: Sumio Watanabe
Categories: Mathematics
Type: BOOK - Published: 2018-04-27 - Publisher: CRC Press

Mathematical Theory of Bayesian Statistics introduces the mathematical foundation of Bayesian inference which is well-known to be more accurate in many real-world problems than the maximum likelihood method. Recent research has uncovered several mathematical laws in Bayesian statistics, by which both the generalization loss and the marginal likelihood are estimated
THE AXIOMATIC FOUNDATIONS OF BAYESIAN DECISION THEORY.
Language: en
Pages: 250
Authors: James M. Joyce
Categories: Mathematics
Type: BOOK - Published: 1992 - Publisher:

possible because, unlike Bolker, I make use of axioms which govern not only preference but comparative probability.
The Foundations of Bayesian Epistemology
Language: en
Pages:
Authors: Kenny Easwaran
Categories: Mathematics
Type: BOOK - Published: 2017-09-30 - Publisher: Routledge

This book introduces students and researchers to the philosophical issues at play in the growing field of formal (or Bayesian) epistemology. It focuses not on how to do particular calculations but instead on the philosophical foundations at the convergence of belief and mathematical representation. Its central questions are: What is