04076nam 22006615 450 991025499010332120220401162605.03-319-32253-210.1007/978-3-319-32253-7(CKB)3710000000685966(EBL)4530178(DE-He213)978-3-319-32253-7(MiAaPQ)EBC4530178(PPN)194079406(EXLCZ)99371000000068596620160519d2016 u| 0engur|n|---|||||txtrdacontentcrdamediacrrdacarrierCompression-based methods of statistical analysis and prediction of time series /by Boris Ryabko, Jaakko Astola, Mikhail Malyutov1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (153 p.)Description based upon print version of record.3-319-32251-6 Includes bibliographical references at the end of each chapters.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.Data structures (Computer science)Computer science—MathematicsNatural language processing (Computer science)StatisticsComputational linguisticsData Structures and Information Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/I15009Mathematics of Computinghttps://scigraph.springernature.com/ontologies/product-market-codes/I17001Natural Language Processing (NLP)https://scigraph.springernature.com/ontologies/product-market-codes/I21040Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17020Computational Linguisticshttps://scigraph.springernature.com/ontologies/product-market-codes/N22000Data structures (Computer science)Computer science—Mathematics.Natural language processing (Computer science)Statistics.Computational linguistics.Data Structures and Information Theory.Mathematics of Computing.Natural Language Processing (NLP).Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Computational Linguistics.004Ryabko Borisauthttp://id.loc.gov/vocabulary/relators/aut906142Astola Jaakkoauthttp://id.loc.gov/vocabulary/relators/autMalyutov Mikhailauthttp://id.loc.gov/vocabulary/relators/autBOOK9910254990103321Compression-Based Methods of Statistical Analysis and Prediction of Time Series2026702UNINA