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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.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2020. gada 27. septembris |
| ISBN13 | 9783030543037 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 85 |
| Izmēri | 234 × 154 × 13 mm · 170 g |
| Valoda | Vācu |
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