Tags: Probability Theory, Bayesian Statistics, Mathematical Logic, Data Science, E.T. Jaynes, Bretthorst, Cambridge University Press, Inference, Statistical Reasoning
Probability Theory: The Logic of Science by E. T. Jaynes & G. Larry Bretthorst – 9780521592710 - Hardcover
- Type: Hardcover Book.
- Publisher: Cambridge University Press
- Language : English
Probability Theory: The Logic of Science by E. T. Jaynes & G. Larry Bretthorst (Hardcover, 2003) – ISBN 9780521592710
Probability Theory: The Logic of Science is one of the most influential mathematical works of the 20th century. Written by physicist E. T. Jaynes and edited by G. Larry Bretthorst, this Cambridge University Press classic presents probability as an extension of deductive logic — a universal language for reasoning under uncertainty and the cornerstone of modern Bayesian thought.
Product Details
- Title: Probability Theory: The Logic of Science
- Author: E. T. Jaynes
- Editor: G. Larry Bretthorst
- Publisher: Cambridge University Press
- Publication Date: 10 April 2003
- ISBN-13: 9780521592710
- Format: Hardcover / Academic Monograph
- Pages: 758
- Price: £53.99
- Availability: In Stock | Free UK & EU Shipping
Jaynes develops probability theory from first principles, deriving the rules of inference as logical consequences of consistency. The book covers Bayesian estimation, decision theory, entropy, and scientific reasoning — building the philosophical and mathematical foundation that now underpins fields such as artificial intelligence, machine learning, and modern statistics.
Key Features
- Foundational Clarity: Demonstrates how probability extends Aristotelian logic to uncertain events.
- Bayesian Framework: Complete treatment of priors, posteriors, and the logic of inference.
- Philosophical Depth: Explains the connection between reasoning, entropy, and information theory.
- Timeless Utility: Equally vital for statisticians, data scientists, and theoretical physicists.
- Historical Influence: The text that re-shaped Bayesian probability in the modern era.
Table of Contents Highlights
- Probability as Extended Logic
- Elementary Probability Calculus
- Elementary Sampling Theory
- Principles and Examples of Inference
- Entropy, Information, and Communication
- Decision Theory and Scientific Reasoning
- Advanced Topics in Bayesian Methods
Who Should Read This Book?
- Mathematicians and statisticians
- Researchers in AI, data science, and information theory
- Philosophers of science and logicians
- Graduate students in physics, computer science, or economics
Why Buy from BooksGoat UK?
- Best Price: £53.99 vs RRP £69.99
- Free UK & EU Shipping
- Authentic Cambridge University Press Edition verified ISBN 9780521592710
- Eco-Friendly Packaging and fast UK dispatch
FAQs
- Is this a textbook or a reference work?
- Both — it’s a comprehensive theoretical reference and a self-contained guide for advanced learners.
- Does it include Bayesian derivations?
- Yes — it rigorously develops Bayesian inference from logical first principles.
- Is it suitable for data science and AI researchers?
- Absolutely — Jaynes’s framework forms the backbone of probabilistic AI and machine learning models.
Final Call – Buy Now
Probability Theory: The Logic of Science is a timeless intellectual achievement — bridging mathematics, logic, and scientific inference. Order now from BooksGoat.co.uk for just £53.99. Free UK & EU shipping included.
