£145.76

Springer - Statistical Physics to Statistical Inference Book

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Description

Explore the deep connections between physics and statistics in this academic text from the NATO Science Series C. This book addresses a fundamental question: are the methods used by physicists to model complex systems with many degrees of freedom equivalent to the methods used by statisticians for data analysis? By examining the state of the art in making inferences, this work provides answers that bridge two major scientific disciplines. It is designed for researchers and students who need to understand how neural computation relies on clear inference processes and how the theory of chaotic nonlinear systems can benefit from existing statistical expertise. This text serves as a vital resource for those working in complex data analysis and system modeling, offering a unique perspective on how these two fields can inform and improve one another.

Key Features

Explores the relationship between statistical physics and statistical inference methods.

https://www.amazon.co.uk/dp/B0BN8NGL1Z?tag=tosheroon-21

Discusses the application of statistical experience to chaotic nonlinear systems.

Part of the NATO Science Series C, volume 428, for academic research.

Provides insights into modeling physical systems with large degrees of freedom.

Examines current state of the art methods for performing data analysis.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 March 1994
Listed Since
15 December 2006

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No barcode data available

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