Marginal and Functional Quantization of Stochastic Processes / Harald Luschgy, Gilles Pagès

• Autore: Luschgy, Harald
• Pubblicazione: Cham, : Springer, 2023
• Descrizione fisica: xviii, 912 p. : ill. ; 24 cm
• Soggetto topico: 46N30 - Applications of functional analysis in probability theory and statistics [MSC 2020]; 60-XX - Probability theory and stochastic processes [MSC 2020]; 60B11 - Probability theory on linear topological spaces [MSC 2020]; 60G15 - Gaussian processes [MSC 2020]; 65C30 - Numerical solutions to stochastic differential and integral equations [MSC 2020]
• Soggetto non controllato: Cluster algorithms; Continuous-time stochastic processes; Discretization Methods; Luschgy Graf; Numerical Probability; Numerical methods in probability; Pages Numerical Probability; Random vectors; Signal processing; Signal transmission; Space discretizations; Unsupervised learning; Vector Quantization
• Altri autori: Pagès, Gilles
• Titolo autorizzato: Marginal and Functional Quantization of Stochastic Processes
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00279517
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-3-031-45464-6
• Serie: Probability theory and stochastic modelling Berlin [etc.] . -Springer , 1988- ; 105