Compression-Based Methods of Statistical Analysis and Prediction of Time Series

Boris Ryabko (u. a.)

ISBN 10: 3319322516 / ISBN 13: 9783319322513

Edité par Springer International Publishing, 2016

Compression-Based Methods of Statistical Analysis and Prediction of Time Series | Boris Ryabko (u. a.) | Buch | ix | Englisch | 2016 | Springer International Publishing | EAN 9783319322513 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 103898064

Synopsis :

Universal codes efficiently compress sequences generated by stationary and ergodic sources with unknown statistics, and they were originally designed for lossless data compression. In the meantime, it was realized that they can be used for solving important problems of prediction and statistical analysis of time series, and this book describes recent results in this area.

The first chapter introduces and describes the application of universal codes to prediction and the statistical analysis of time series; the second chapter describes applications of selected statistical methods to cryptography, including attacks on block ciphers; and the third chapter describes a homogeneity test used to determine authorship of literary texts.

The book will be useful for researchers and advanced students in information theory, mathematical statistics, time-series analysis, and cryptography. It is assumed that the reader has some grounding in statistics and in information theory.

Détails bibliographiques

Titre : Compression-Based Methods of Statistical ...
Éditeur : Springer International Publishing
Date d'édition : 2016
Reliure : Buch
Etat : Neu