2012, ISBN: 9783319555676

[ED: Taschenbuch], [PU: Springer-Verlag GmbH], Neuware - The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stocha… Mehr…

[ED: Taschenbuch], [PU: Springer-Verlag GmbH], Neuware - The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations driven by Wiener process, Lévy processes or fractional Brownian motion, as well as CARMA, COGARCH, and Point processes. The package performs various central statistical analyses such as quasi maximum likelihood estimation, adaptive Bayes estimation, structural change point analysis, hypotheses testing, asynchronous covariance estimation, lead-lag estimation, LASSO model selection, and so on. YUIMA also supports stochastic numerical analysis by fast computation of the expected value of functionals of stochastic processes through automatic asymptotic expansion by means of the Malliavin calculus. All models can be multidimensional, multiparametric or non parametric.The book explains briefly the underlying theory for simulation and inference of several classes of stochastic processes and then presents both simulation experiments and applications to real data. Although these processes have been originally proposed in physics and more recently in finance, they are becoming popular also in biology due to the fact the time course experimental data are now available. The YUIMA package, available on CRAN, can be freely downloaded and this companion book will make the user able to start his or her analysis from the first page., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 235x155x16 mm, 268, [GW: 435g], Banküberweisung, PayPal, Skrill/Moneybookers, Selbstabholung und Barzahlung, Offene Rechnung (Vorkasse vorbehalten)<

2012, ISBN: 9783319555676

[ED: Taschenbuch], [PU: Springer-Verlag GmbH], Neuware - The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stocha… Mehr…

[ED: Taschenbuch], [PU: Springer-Verlag GmbH], Neuware - The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations driven by Wiener process, Lévy processes or fractional Brownian motion, as well as CARMA, COGARCH, and Point processes. The package performs various central statistical analyses such as quasi maximum likelihood estimation, adaptive Bayes estimation, structural change point analysis, hypotheses testing, asynchronous covariance estimation, lead-lag estimation, LASSO model selection, and so on. YUIMA also supports stochastic numerical analysis by fast computation of the expected value of functionals of stochastic processes through automatic asymptotic expansion by means of the Malliavin calculus. All models can be multidimensional, multiparametric or non parametric.The book explains briefly the underlying theory for simulation and inference of several classes of stochastic processes and then presents both simulation experiments and applications to real data. Although these processes have been originally proposed in physics and more recently in finance, they are becoming popular also in biology due to the fact the time course experimental data are now available. The YUIMA package, available on CRAN, can be freely downloaded and this companion book will make the user able to start his or her analysis from the first page., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 235x155x16 mm, 268, [GW: 435g], Banküberweisung, PayPal, Internationaler Versand<

2012, ISBN: 9783319555676

[ED: Taschenbuch], [PU: Springer-Verlag GmbH], Neuware - The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stocha… Mehr…

[ED: Taschenbuch], [PU: Springer-Verlag GmbH], Neuware - The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations driven by Wiener process, Lévy processes or fractional Brownian motion, as well as CARMA, COGARCH, and Point processes. The package performs various central statistical analyses such as quasi maximum likelihood estimation, adaptive Bayes estimation, structural change point analysis, hypotheses testing, asynchronous covariance estimation, lead-lag estimation, LASSO model selection, and so on. YUIMA also supports stochastic numerical analysis by fast computation of the expected value of functionals of stochastic processes through automatic asymptotic expansion by means of the Malliavin calculus. All models can be multidimensional, multiparametric or non parametric.The book explains briefly the underlying theory for simulation and inference of several classes of stochastic processes and then presents both simulation experiments and applications to real data. Although these processes have been originally proposed in physics and more recently in finance, they are becoming popular also in biology due to the fact the time course experimental data are now available. The YUIMA package, available on CRAN, can be freely downloaded and this companion book will make the user able to start his or her analysis from the first page., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 235x155x16 mm, 268, [GW: 435g], Banküberweisung, PayPal<

2018, ISBN: 9783319555676

[ED: Taschenbuch], [PU: Springer-Verlag GmbH], The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic diffe… Mehr…

[ED: Taschenbuch], [PU: Springer-Verlag GmbH], The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations driven by Wiener process, Lévy processes or fractional Brownian motion, as well as CARMA, COGARCH, and Point processes. The package performs various central statistical analyses such as quasi maximum likelihood estimation, adaptive Bayes estimation, structural change point analysis, hypotheses testing, asynchronous covariance estimation, lead-lag estimation, LASSO model selection, and so on. YUIMA also supports stochastic numerical analysis by fast computation of the expected value of functionals of stochastic processes through automatic asymptotic expansion by means of the Malliavin calculus. All models can be multidimensional, multiparametric or non parametric.The book explains briefly the underlying theory for simulation and inference of several classes of stochastic processes and then presents both simulation experiments..., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 268, [GW: 435g], Banküberweisung, PayPal, [CT: Sonstiges / Sonstiges]<

2018, ISBN: 9783319555676

[ED: Taschenbuch], [PU: Springer-Verlag GmbH], The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic diffe… Mehr…

[ED: Taschenbuch], [PU: Springer-Verlag GmbH], The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations driven by Wiener process, Lévy processes or fractional Brownian motion, as well as CARMA, COGARCH, and Point processes. The package performs various central statistical analyses such as quasi maximum likelihood estimation, adaptive Bayes estimation, structural change point analysis, hypotheses testing, asynchronous covariance estimation, lead-lag estimation, LASSO model selection, and so on. YUIMA also supports stochastic numerical analysis by fast computation of the expected value of functionals of stochastic processes through automatic asymptotic expansion by means of the Malliavin calculus. All models can be multidimensional, multiparametric or non parametric.The book explains briefly the underlying theory for simulation and inference of several classes of stochastic processes and then presents both simulation experiments..., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 268, [GW: 435g], PayPal, [CT: Sonstiges / Sonstiges]<