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Simulation Inference Stochastic Processes by Iacus Stefano (16 results)
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Simulation and Inference for Stochastic Processes with YUIMA : A Comprehensive R Framework for SDEs and Other Stochastic Processes
Book 58 of 68: Use R!Language: English
Published by Springer International Publishing AG, 2018
ISBN 10: 3319555677 ISBN 13: 9783319555676
Condition: Very Good. 1st ed. 2018. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Condition: As New. Unread book in perfect condition.
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Simulation and Inference for Stochastic Processes with YUIMA: A Comprehensive R Framework for SDEs and Other Stochastic Processes
Book 58 of 68: Use R!Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Simulation and Inference for Stochastic Processes with YUIMA : A Comprehensive R Framework for SDEs and Other Stochastic Processes
Book 58 of 68: Use R!US$ 80.69
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Simulation and Inference for Stochastic Processes With Yuima : A Comprehensive R Framework for Sdes and Other Stochastic Processes
Book 58 of 68: Use R!Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Simulation and Inference for Stochastic Processes with YUIMA
Book 58 of 68: Use R!Language: English
Published by Springer-Verlag Gmbh Jun 2018, 2018
ISBN 10: 3319555677 ISBN 13: 9783319555676
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. 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. 268 pp. Englisch.
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Simulation and Inference for Stochastic Processes With Yuima : A Comprehensive R Framework for Sdes and Other Stochastic Processes
Book 58 of 68: Use R!Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Simulation and Inference for Stochastic Processes With Yuima: A Comprehensive R Framework for Sdes and Other Stochastic Processes
Book 58 of 68: Use R!Language: English
Published by Springer-Verlag New York Inc, 2018
ISBN 10: 3319555677 ISBN 13: 9783319555676
US$ 114.57
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Add to basketPaperback. Condition: Brand New. 284 pages. 9.25x6.10x0.67 inches. In Stock.
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Simulation and Inference for Stochastic Processes with YUIMA
Book 58 of 68: Use R!Language: English
Published by Springer International Publishing, 2018
ISBN 10: 3319555677 ISBN 13: 9783319555676
Condition: New.
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Simulation and Inference for Stochastic Processes with YUIMA : A Comprehensive R Framework for SDEs and Other Stochastic Processes
Book 58 of 68: Use R!Language: English
Published by Springer, Palgrave Macmillan, 2018
ISBN 10: 3319555677 ISBN 13: 9783319555676
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Taschenbuch. Condition: Neu. Simulation and Inference for Stochastic Processes with YUIMA | A Comprehensive R Framework for SDEs and Other Stochastic Processes | Stefano M. Iacus (u. a.) | Taschenbuch | Use R! | xiii | Englisch | 2018 | Springer | EAN 9783319555676 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: new. Questo è un articolo print on demand.
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Simulation and Inference for Stochastic Processes with YUIMA
Book 58 of 68: Use R!Language: English
Published by Springer, Palgrave Macmillan Jun 2018, 2018
ISBN 10: 3319555677 ISBN 13: 9783319555676
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 268 pp. Englisch.
