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OverviewUniversal 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. Full Product DetailsAuthor: Boris Ryabko , Jaakko Astola , Mikhail MalyutovPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: Softcover reprint of the original 1st ed. 2016 Dimensions: Width: 15.50cm , Height: 0.80cm , Length: 23.50cm Weight: 2.467kg ISBN: 9783319812342ISBN 10: 3319812343 Pages: 144 Publication Date: 30 May 2018 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsThe book under review describes several recent results on Universal Codes. ... its reading may be useful for non-mathematical professionals interested in handling large data sources. (Oscar Bustos, zbMATH 1360.94001, 2017) Author InformationTab Content 6Author Website:Countries AvailableAll regions |