From Statistical Physics to Statistical Inference and Back (Paperback, Softcover reprint of the original 1st ed. 1994)

Physicists, when modelling physical systems with a large number of degrees of freedom, and statisticians, when performing data analysis, have developed their own concepts and methods for making the `best' inference. But are these methods equivalent, or not? What is the state of the art in making inferences? The physicists want answers. More: neural computation demands a clearer understanding of how neural systems make inferences; the theory of chaotic nonlinear systems as applied to time series analysis could profit from the experience already booked by the statisticians; and finally, there is a long-standing conjecture that some of the puzzles of quantum mechanics are due to our incomplete understanding of how we make inferences. Matter enough to stimulate the writing of such a book as the present one. But other considerations also arise, such as the maximum entropy method and Bayesian inference, information theory and the minimum description length. Finally, it is pointed out that an understanding of human inference may require input from psychologists. This lively debate, which is of acute current interest, is well summarized in the present work.

General

Imprint:	Springer
Country of origin:	Netherlands
Series:	NATO Science Series C, 428
Release date:	October 2012
First published:	1994
Editors:	P. Grassberger • J.P. Nadal
Dimensions:	240 x 160 x 19mm (L x W x T)
Format:	Paperback
Pages:	355
Edition:	Softcover reprint of the original 1st ed. 1994
ISBN-13:	978-9401044653
Categories:	Books > Reference & Interdisciplinary > Communication studies > Coding theory & cryptology Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Thermodynamics Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	9401044651
Barcode:	9789401044653

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