Counting Statistics for Dependent Random Events : With a Focus on Finance / Enrico Bernardi, Silvia Romagnoli

• Autore: Bernardi, Enrico
• Pubblicazione: Cham, : Springer, 2021
• Descrizione fisica: xiii, 206 p. : ill. ; 24 cm
• Soggetto topico: 60K37 - Processes in random environments [MSC 2020]; 62-XX - Statistics [MSC 2020]; 62H05 - Characterization and structure theory for multivariate probability distributions; copulas [MSC 2020]; 62M40 - Random fields; image analysis [MSC 2020]; 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020]
• Soggetto non controllato: Big data in finance; Clustering; Combinatoric calculus; Copula function; Copula-based approach to counting; Counting random events; Counting random variables; Counting statistics; Dependent random events; Hierarchical dependence structures; High-Dimensional Data; High-dimensional problem; Matlab code
• Altri autori: Romagnoli, Silvia
• Titolo autorizzato: Counting Statistics for Dependent Random Events
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0274686
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-3-030-64250-1