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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
Simulation and Inference for Stochastic Processes with YUIMA : A Comprehensive R Framework for SDEs and Other Stochastic Processes / Stefano M. Iacus, Nakahiro Yoshida
Autore Iacus, Stefano M.
Pubbl/distr/stampa Cham, : Springer, 2018
Descrizione fisica xiii, 268 p. : ill. ; 24 cm
Soggetto topico 60Gxx - Stochastic processes [MSC 2020]
60-XX - Probability theory and 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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0124995
Iacus, Stefano M.  
Cham, : Springer, 2018
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Simulation and Inference for Stochastic Processes with YUIMA : A Comprehensive R Framework for SDEs and Other Stochastic Processes / Stefano M. Iacus, Nakahiro Yoshida
Simulation and Inference for Stochastic Processes with YUIMA : A Comprehensive R Framework for SDEs and Other Stochastic Processes / Stefano M. Iacus, Nakahiro Yoshida
Autore Iacus, Stefano M.
Pubbl/distr/stampa Cham, : Springer, 2018
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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00124995
Iacus, Stefano M.  
Cham, : Springer, 2018
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui