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Information geometry : near randomness and near independence

Author: Khadiga A ArwiniC T J DodsonA J DoigWilliam W SampsonJ ScharcanskiAll authors
Publisher: Berlin : Springer, ©2008.
Series: Lecture notes in mathematics (Springer-Verlag), 1953.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
Annotation This volume will be useful to practising scientists and students working in the application of statistical models to real materials or to processes with perturbations of a Poisson process, a uniform process, or a state of independence for a bivariate process. We use information geometry to provide a common differential geometric framework for a wide range of illustrative applications including amino acid  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Arwini, Khadiga A.
Information geometry.
Berlin : Springer, ©2008
(DLC) 2008931163
(OCoLC)232976381
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Khadiga A Arwini; C T J Dodson; A J Doig; William W Sampson; J Scharcanski; S Felipussi
ISBN: 9783540693932 3540693939 9783540693918 3540693912
OCLC Number: 272298865
Description: 1 online resource (x, 253 pages) : illustrations.
Contents: Mathematical statistics and information theory --
Introduction to Riemannian geometry --
Information geometry --
Information geometry of bivariate families --
Neighbourhoods of Poisson randomness, independence, and uniformity --
Cosmological voids and galactic clustering --
Amino acid clustering / with A.J. Doig --
Cryptographic attacks and signal clustering --
Stochastic fibre networks / with W.W. Sampson --
Stochastic porous media and hydrology / with J. Scharcanski and S. Felipussi --
Quantum chaology.
Series Title: Lecture notes in mathematics (Springer-Verlag), 1953.
Responsibility: Khadiga A. Arwini, Christopher T.J. Dodson.
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Abstract:

This volume uses information geometry to give a common differential geometric framework for a wide range of illustrative applications including amino acid sequence spacings, cryptology studies,  Read more...

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