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

Boris Ryabko

ISBN 10: 3319322516 / ISBN 13: 9783319322513

Editore: Springer International Publishing AG, 2016

Num Pages: 153 pages, 8 black & white illustrations, 21 colour illustrations, 20 colour tables, biography. BIC Classification: CFX; PBT; UYA; UYQL. Category: (G) General (US: Trade). Dimension: 235 x 155 x 11. Weight in Grams: 403. . 2016. 1st ed. 2016. Hardcover. . . . . Codice articolo V9783319322513

Riassunto:

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.

Dalla quarta di copertina:

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.

Dati bibliografici

Titolo: Compression-Based Methods of Statistical ...
Casa editrice: Springer International Publishing AG
Data di pubblicazione: 2016
Legatura: Rilegato
Condizione: New
Edizione: prima edizione