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Simulation and Inference for Stochastic Processes with YUIMA : A Comprehensive R Framework for SDEs and Other Stochastic Processes / Stefano M. Iacus, Nakahiro Yoshida



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Autore: Iacus, Stefano M. Visualizza persona
Titolo: Simulation and Inference for Stochastic Processes with YUIMA : A Comprehensive R Framework for SDEs and Other Stochastic Processes / Stefano M. Iacus, Nakahiro Yoshida Visualizza cluster
Pubblicazione: Cham, : Springer, 2018
Titolo uniforme: Simulation and Inference for Stochastic Processes with YUIMA  
Descrizione fisica: xiii, 268 p. : ill. ; 24 cm
Soggetto topico: 60-XX - Probability theory and stochastic processes [MSC 2020]
60Gxx - Stochastic processes [MSC 2020]
68N15 - Theory of programming languages [MSC 2020]
Soggetto non controllato: Adaptive Bayes estimation
Asynchronous covariance estimation
Brownian Motions
CARMA
COGARCH
CRAN
Computational statistics
Hypotheses testing
LASSO model selection
Lead-lag estimation
Levy
Lévy processes
Malliavin Calculus
Quasi maximum likelihood estimation
R language
Simulation and inference for stochastic processes
Stochastic differential equations
Structural change point analysis
Wiener process
YUIMA
Persona (resp. second.): Yoshida, Nakahiro
Titolo autorizzato: Simulation and Inference for Stochastic Processes with YUIMA  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: VAN00124995
Lo trovi qui: Univ. Vanvitelli
Localizzazioni e accesso elettronico http://doi.org/10.1007/978-3-319-55569-0
Opac: Controlla la disponibilità qui
Serie: Use R! Berlin [etc.] . -Springer , 2006-