LEADER 04076nam 22006615 450 001 9910254990103321 005 20220401162605.0 010 $a3-319-32253-2 024 7 $a10.1007/978-3-319-32253-7 035 $a(CKB)3710000000685966 035 $a(EBL)4530178 035 $a(DE-He213)978-3-319-32253-7 035 $a(MiAaPQ)EBC4530178 035 $a(PPN)194079406 035 $a(EXLCZ)993710000000685966 100 $a20160519d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCompression-based methods of statistical analysis and prediction of time series /$fby Boris Ryabko, Jaakko Astola, Mikhail Malyutov 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (153 p.) 300 $aDescription based upon print version of record. 311 $a3-319-32251-6 320 $aIncludes bibliographical references at the end of each chapters. 327 $aStatistical Methods Based on Universal Codes -- Applications to Cryptography -- SCOT-Modeling and Nonparametric Testing of Stationary Strings. 330 $aUniversal 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. 606 $aData structures (Computer science) 606 $aComputer science?Mathematics 606 $aNatural language processing (Computer science) 606 $aStatistics 606 $aComputational linguistics 606 $aData Structures and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15009 606 $aMathematics of Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I17001 606 $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040 606 $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020 606 $aComputational Linguistics$3https://scigraph.springernature.com/ontologies/product-market-codes/N22000 615 0$aData structures (Computer science) 615 0$aComputer science?Mathematics. 615 0$aNatural language processing (Computer science) 615 0$aStatistics. 615 0$aComputational linguistics. 615 14$aData Structures and Information Theory. 615 24$aMathematics of Computing. 615 24$aNatural Language Processing (NLP). 615 24$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aComputational Linguistics. 676 $a004 700 $aRyabko$b Boris$4aut$4http://id.loc.gov/vocabulary/relators/aut$0906142 702 $aAstola$b Jaakko$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aMalyutov$b Mikhail$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910254990103321 996 $aCompression-Based Methods of Statistical Analysis and Prediction of Time Series$92026702 997 $aUNINA