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. All the results presented are theoretical, but they concern the foundations of some problems in such applied areas as machine learning, information theory and data compression.
| ISBN: | 9783030543044 |
| Publication date: | 26th September 2020 |
| Author: | Ryabko, Daniil |
| Publisher: | Springer International Publishing |
| Format: | Ebook |
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. All the results presented are theoretical, but they concern the foundations of some problems in such applied areas as machine learning, information theory and data compression.
Paperback, Ebook. £44.99. Digital. Available Immediately. Country restrictions apply..
Universal Time-Series Forecasting with Mixture Predictors was written by Ryabko, Daniil and published by Springer International Publishing
£44.99. Digital. Available Immediately. Country restrictions apply..