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# Probability Theory: The Logic of Science

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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 ap
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## Get A Copy

Hardcover, 753 pages

Published
April 10th 2003
by Cambridge University Press
(first published April 9th 1999)

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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 c ...more

May 06, 2010
Dana Larose
marked it as to-read

*sigh* Why do I love adding math books I'm most likely not smart enough to understand?
...more

As an undergraduate in computer science, I left my statistics course with disdain. The curri ...more

May 04, 2021
Hamish Seamus
is currently reading it

Further reading:

My interest in probability theory was stimulated first by reading the work of Harold Jeffreys (1939) and realizing that his viewpoint makes all the problems of theoretical physics appear in a very different light. But then, in quick succession, discovery of the work of R. T. Cox (1946), Shannon (1948) and Po ́lya (1954) opened up new worlds of thought, whose explo- ration has occupied my mind for some 40 years.

In summary, qualitative correspondence with common sense requires that...more

He's a feisty one, and spends a fair bit of his time attacking various viewpoints. It's quite fun to read the first few times, but he definitely repeats himself.

The content is nice though, I feel I finally understand what those messy things like p-values, chi squared tests etc are. ...more

Sep 20, 2010
Foppe
marked it as home-library

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Edwin Thompson Jaynes was the Wayman Crow Distinguished Professor of Physics at Washington University in St. Louis. He wrote extensively on statistical mechanics and on foundations of probability and statistical inference, initiating in 1957 the MaxEnt interpretation of thermodynamics, as being a particular application of more general Bayesian/information theory techniques (although he argued this
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“A paradox is simply an error out of control; i.e. one that has trapped so many unwary minds that it has gone public, become institutionalized in our literature, and taught as truth.”
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“if fallacious reasoning always led to absurd conclusions, it would be found out at once and corrected. But once an easy, shortcut mode of reasoning has led to a few correct results, almost everybody accepts it; those who try to warn against it are not listened to.”
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