This open access book addresses key methodological and applied issues in rare event forecasting, with a particular focus on early warning systems based on hidden Markov models. It brings together recent advances developed by a cohesive and multidisciplinary group of researchers. A distinctive feature of the volume is its strong emphasis on real-world problems in economics, finance and health, illustrated using empirical datasets.
| ISBN: | 9783032241405 |
| Publication date: | 1st October 2026 |
| Author: | Progetto di Rilevante Interesse Nazionale |
| Publisher: | Springer an imprint of Springer Nature Switzerland |
| Format: | Hardback |
| Pagination: | 197 pages |
| Series: | Springer Proceedings in Mathematics & Statistics |
| Genres: |
Probability and statistics Stochastics Economics, Finance, Business and Management |
This open access book addresses key methodological and applied issues in rare event forecasting, with a particular focus on early warning systems based on hidden Markov models. It brings together recent advances developed by a cohesive and multidisciplinary group of researchers.
Models for Longitudinal Data With Applications to Early Warning Systems features in the following genres: Probability and statistics, Stochastics, Economics, Finance, Business and Management
Hardback. £40.49, down from the £44.99 cover price. Not Available.
Models for Longitudinal Data With Applications to Early Warning Systems was written by Progetto di Rilevante Interesse Nazionale and published by Springer an imprint of Springer Nature Switzerland
Models for Longitudinal Data With Applications to Early Warning Systems has 197 pages
Yes it is part of Springer Proceedings in Mathematics & Statistics series
£40.49, reduced from £44.99. Not Available.