Models for Longitudinal Data with Applications to Early Warning Systems Models for Longitudinal Data with Applications to Early Warning Systems

Models for Longitudinal Data with Applications to Early Warning Systems

Workshops of the PRIN Project, Perugia, Italy, 19 September 2024, 11 September 2025 and 23 January 2026

Descripción editorial

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.

GÉNERO
Ciencia y naturaleza
PUBLICADO
2026
30 de septiembre
IDIOMA
EN
Inglés
EXTENSIÓN
206
Páginas
EDITORIAL
Springer Nature Switzerland
VENDEDOR
Springer Nature B.V.
TAMAÑO
20
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Recent Advancements in Computational Finance and Business Analytics Recent Advancements in Computational Finance and Business Analytics
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Latent Markov Models for Longitudinal Data Latent Markov Models for Longitudinal Data
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Recent Advancements in Computational Finance and Business Analytics Recent Advancements in Computational Finance and Business Analytics
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