Probability Theory The Logic of Science
Probability Theory The Logic of Science by E. T. Jaynes, published by Cambridge University Press on April 10, 2003, is an annotated edition comprising 727 pages. This book presents a comprehensive exploration of probability theory, arguing for its interpretation as a logical framework rather than merely a mathematical tool. Jaynes aims to eliminate the perceived divide between probability theory and statistical inference, offering a unified approach that enhances both technical power and flexibility in various applications.
Readers will find discussions on new results and their applications across diverse fields such as physics, mathematics, economics, chemistry, and biology. The text includes numerous exercises and problems, making it suitable for graduate-level courses focused on data analysis. It is designed for those with a solid foundation in applied mathematics at an advanced undergraduate level or higher, and it addresses the needs of scientists who require inference from incomplete information.
Official synopsis Publisher
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.
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