Compression-Based Methods of Statistical Analysis and Prediction of Time Series

• Κύριοι συγγραφείς: Ryabko, Boris (Συγγραφέας), Astola, Jaakko (Συγγραφέας), Malyutov, Mikhail (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Θέματα: Computer science.; Data structures (Computer science).; Computer science > Mathematics.; Computational linguistics.; Statistics.; Computer Science.; Data Structures, Cryptology and Information Theory.; Mathematics of Computing.; Language Translation and Linguistics.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Computational Linguistics.

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...

Πίνακας περιεχομένων:

• Statistical Methods Based on Universal Codes
• Applications to Cryptography
• SCOT-Modeling and Nonparametric Testing of Stationary Strings.