Statistical Analysis of Graph Structures in Random Variable Networks / V. A. Kalyagin ... [et al.]

• Pubblicazione: Cham, : Springer, 2020
• Titolo uniforme: Statistical Analysis of Graph Structures in Random Variable Networks
• Descrizione fisica: viii, 101 p. : ill. ; 24 cm
• Soggetto topico: 62-XX - Statistics [MSC 2020]; 60G60 - Random fields [MSC 2020]; 62M30 - Inference from spatial processes [MSC 2020]; 90B15 - Stochastic network models in operations research [MSC 2020]; 05C90 - Applications of graph theory [MSC 2020]; 62P25 - Applications of statistics to social sciences [MSC 2020]; 62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020]
• Soggetto non controllato: Graphical model selections; Maximum Clique; Maximum spanning trees; Network analysis; Network structure identification; Random variable networks; Risk functions for network structure identification; Robust statistical procedures; Statistical procedures for network structure identification; Stock market networks
• Persona (resp. second.): Kalyagin, Valery A.
• Titolo autorizzato: Statistical Analysis of Graph Structures in Random Variable Networks
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0249834
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://doi.org/10.1007/978-3-030-60293-2
• Serie: SpringerBriefs in optimization Berlin [etc.] . -Springer