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Ebook Probability Theory: The Logic of Science by E.T. Jaynes read! Book Title: Probability Theory: The Logic of Science
The author of the book: E.T. Jaynes
Language: English
ISBN: 0521592712
ISBN 13: 9780521592710
Format files: PDF, Epub, DOCx, TXT
The size of the: 9.11 MB
Edition: Cambridge University Press
Date of issue: June 9th 2003
Reader ratings: 6.7
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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 applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.

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Ebook Probability Theory: The Logic of Science read Online! 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 was already implicit in the works of Gibbs). Jaynes strongly promoted the interpretation of probability theory as an extension of logic.
In 1963, together with Fred Cummings, he modelled the evolution of a two-level atom in an electromagnetic field, in a fully quantized way. This model is known as the Jaynes–Cummings model.
A particular focus of his work was the construction of logical principles for assigning prior probability distributions; see the principle of maximum entropy, the principle of transformation groups and Laplace's principle of indifference. Other contributions include the mind projection fallacy.
Jaynes' posthumous book, Probability Theory: The Logic of Science (2003) gathers various threads of modern thinking about Bayesian probability and statistical inference, develops the notion of probability theory as extended logic, and contrasts the advantages of Bayesian techniques with the results of other approaches. This book was published posthumously in 2003 (from an incomplete manuscript that was edited by Larry Bretthorst). An unofficial list of errata is hosted by Kevin S. Van Horn.


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