Compression-Based Methods of Statistical Analysis and Prediction of Time Series
Softcover reprint of the original 1st ed. 2016
Book Details
Format
Paperback / Softback
ISBN-10
3319812343
ISBN-13
9783319812342
Edition
Softcover reprint of the original 1st ed. 2016
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
May 30th, 2018
Print length
144 Pages
Product Classification:
LinguisticsInformation theoryProbability & statisticsProbability and statisticsData capture & analysisData capture and analysisMathematical theory of computationNatural language & machine translationNatural language and machine translationMachine learningInformation architecture
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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;
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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