Universal Time-Series Forecasting with Mixture Predictors - SpringerBriefs in Computer Science - Daniil Ryabko - Books - Springer Nature Switzerland AG - 9783030543037 - September 27, 2020
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Daniil Ryabko
Universal Time-Series Forecasting with Mixture Predictors - SpringerBriefs in Computer Science 1st ed. 2020 edition

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The author considers the problem of sequential probability forecasting in the most general setting, where the observed data may exhibit an arbitrary form of stochastic dependence.

85 pages, 1 Illustrations, black and white; VIII, 85 p. 1 illus.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released September 27, 2020
ISBN13 9783030543037
Publishers Springer Nature Switzerland AG
Pages 85
Dimensions 150 × 220 × 10 mm   ·   454 g
Language German  

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