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  1. Home
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  3. Probability Theory
  • Cited by 3146
Publisher:
Cambridge University Press
Online publication date:
September 2012
Print publication year:
2003
Online ISBN:
9780511790423
DOI:
https://doi.org/10.1017/CBO9780511790423
Subjects:
Physics and Astronomy, Theoretical Physics and Mathematical Physics, Applied Probability and Stochastic Networks, Statistics and Probability
Information

Book description

The standard rules of probability can be interpreted as uniquely valid principles in logic. In this book, E. T. Jaynes dispels the imaginary distinction between 'probability theory' and 'statistical inference', leaving a logical unity and simplicity, which provides greater technical power and flexibility in applications. This book goes beyond the conventional mathematics of probability theory, viewing the subject in a wider context. New results are discussed, along with applications of probability theory to a wide variety of problems in physics, mathematics, economics, chemistry and biology. It contains many exercises and problems, and is suitable for use as a textbook on graduate level courses involving data analysis. The material is aimed at readers who are already familiar with applied mathematics at an advanced undergraduate level or higher. The book will be of interest to scientists working in any area where inference from incomplete information is necessary.

Reviews

‘This is not an ordinary text. It is an unabashed, hard sell of the Bayesian approach to statistics. It is wonderfully down to earth, with hundreds of telling examples. Everyone who is interested in the problems or applications of statistics should have a serious look.’

Source: SIAM News

'This book could be of interest to scientists working in areas where inference of incomplete information should be made.'

Source: Zentralblatt MATH

'… the author thinks for himself … and writes in a lively way about all sorts of things. It is worth dipping into it if only for vivid expressions of opinion. The annotated References and Bibliography are particularly good for this.'

Source: Notices of the American Mathematical Society

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