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Universal Time-Series Forecasting with Mixture Predictors - SpringerBriefs in Computer Science Daniil Ryabko 1st ed. 2020 edition
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Universal Time-Series Forecasting with Mixture Predictors - SpringerBriefs in Computer Science
Daniil Ryabko
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 | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 27. september 2020 |
| ISBN13 | 9783030543037 |
| Utgivere | Springer Nature Switzerland AG |
| Antall sider | 85 |
| Mål | 234 × 154 × 13 mm · 170 g |
| Språk | Tysk |
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