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Compression-Based Methods of Statistical Analysis and Prediction of Time Series [electronic resource] / by Boris Ryabko, Jaakko Astola, Mikhail Malyutov.

By: Ryabko, Boris [author.].
Contributor(s): Astola, Jaakko [author.] | Malyutov, Mikhail [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: IX, 144 p. 29 illus., 21 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319322537.Subject(s): Computer science | Data structures (Computer science) | Computer science -- Mathematics | Computational linguistics | Statistics | Computer Science | Data Structures, Cryptology and Information Theory | Mathematics of Computing | Language Translation and Linguistics | Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences | Computational LinguisticsAdditional physical formats: Printed edition:: No titleDDC classification: 005.74 Online resources: Click here to access online
Contents:
Statistical Methods Based on Universal Codes -- Applications to Cryptography -- SCOT-Modeling and Nonparametric Testing of Stationary Strings.
In: Springer eBooksSummary: 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.
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Statistical Methods Based on Universal Codes -- Applications to Cryptography -- SCOT-Modeling and Nonparametric Testing of Stationary Strings.

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.

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