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Original Title:	Probability Theory: The Logic of Science
ISBN:	0521592712 (ISBN13: 9780521592710)
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Probability Theory

E.T. Jaynes

Hardcover | Pages: 753 pages

Rating: 4.39 | 537 Users | 16 Reviews

Mention Based On Books Probability Theory

Title	:	Probability Theory
Author	:	E.T. Jaynes
Book Format	:	Hardcover
Book Edition	:	Anniversary Edition
Pages	:	Pages: 753 pages
Published	:	October 4th 2003 by Cambridge University Press (first published April 9th 1999)
Categories	:	Science. Mathematics

Narration Toward Books Probability Theory

Going beyond the conventional mathematics of probability theory, this study views the subject in a wider context. It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.

Rating Based On Books Probability Theory

Ratings: 4.39 From 537 Users | 16 Reviews

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Best book on statistics ever.

Our theme is simply: probability theory as extended logic. The new perception amounts to the recognition that the mathematical rules of probability theory are not merely rules for calculating frequencies of random variables; they are also the unique consistent rules for conducting inference (i.e. plausible reasoning) of any kind, and we shall apply them in full generality to that end. - E.T. JaynesAs an undergraduate in computer science, I left my statistics course with disdain. The curriculum



It's a good book - it approaches probability from the right direction and develops interesting, useful results. However, the author is often wordy and spends a bunch of time trying to convince the reader why the Bayesian interpretation of statistics is superior to frequentist interpretations.. why would I be reading a book about Bayesian statistics if I thought it was a waste of time, and why do I need to read about application of these ideas to determining whether ESP is real or not? Anyway,

Folks who follow me on Twitter know this is essentially my 2nd bible. (Yes, the first one is The Bible.)There's really no way to delve into that other than to recapitulate the book, but let me just hammer one point, which I take to be central, home: good old-fashioned Aristotelian two-valued logic is a special case of probability theory properly understood. Conversely, probability theory properly understood is a generalization of good old-fashioned Aristotelian two-valued logic.Jaynes makes no

What do I need to know to be able to read this book?

This book took my brain apart and rebuilt it.