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Universal Time-Series Forecasting with Mixture Predictors
part of the SpringerBriefs in Computer Science series
- Binding:
- Paperback
- Pages:
- 85
- Published:
- September 27, 2020
- Edition:
- 12020
- Dimensions:
- 155x235x0 mm.
- Weight:
- 454 g.
Delivery:
2-4 weeks
Expected delivery: July 21, 2024
Description of Universal Time-Series Forecasting with Mixture Predictors
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.
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