Compression-Based Methods of Statistical Analysis and Prediction 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 ana...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Ryabko, Boris (Autor), Astola, Jaakko (Autor), Malyutov, Mikhail (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Temas:
Data structures (Computer science).
Information theory.
Computer science-Mathematics.
Natural language processing (Computer science).
Statistics .
Computational linguistics.
Data Structures and Information Theory.
Mathematics of Computing.
Natural Language Processing (NLP).
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Computational Linguistics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Statistical Methods Based on Universal Codes
  • Applications to Cryptography
  • SCOT-Modeling and Nonparametric Testing of Stationary Strings.

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