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

Beschreibung des Verlags

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.

GENRE
Wissenschaft und Natur
ERSCHIENEN
2026
30. September
SPRACHE
EN
Englisch
UMFANG
206
Seiten
VERLAG
Springer Nature Switzerland
ANBIETERINFO
Springer Science & Business Media LLC
GRÖSSE
20
 MB
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