Simulation and Inference for Stochastic Differential Equations: With R Examples - Couverture rigide
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Synopsis
This book covers a highly relevant and timely topic that is of wide interest, especially in finance, engineering and computational biology. The introductory material on simulation and stochastic differential equation is very accessible and will prove popular with many readers. While there are several recent texts available that cover stochastic differential equations, the concentration here on inference makes this book stand out. No other direct competitors are known to date. With an emphasis on the practical implementation of the simulation and estimation methods presented, the text will be useful to practitioners and students with minimal mathematical background. What's more, because of the many R programs, the information here is appropriate for many mathematically well educated practitioners, too. Many of the methods presented in the book have, so far, not been used much in practice because of the lack of an implementation in a unified framework. Iacus' book bridges this gap. With the R code included, a lot of useful methods become easy to use.
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Simulation and Inference for Stochastic Differential Equations: With R Examples 2008
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Simulation and Inference for Stochastic Differential Equations: With R Examples. Springer Series in Statistics.
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Simulation and Inference for Stochastic Differential Equations: With R Examples (Springer Series in Statistics)
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Springer, 2008
ISBN 10 : 0387758380
ISBN 13 : 9780387758381
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Simulation and Inference for Stochastic Differential Equations: With R Examples (Springer Series in Statistics)
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Simulation and Inference for Stochastic Differential Equations
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Ready-to-use functions allow for instant analysis on real life dataMany figures give immediate feeling on how methods performTheoretical results are presented side-by-side with R code to ease the passage from theory to practiceTh. N° de réf. du vendeur 5910993
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Simulation and Inference for Stochastic Differential Equations
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Stochastic di erential equations model stochastic evolution as time evolves. These models have a variety of applications in many disciplines and emerge naturally in the study of many phenomena. Examples of these applications are physics (see, e. g. , [176] for a review), astronomy [202], mechanics [147], economics [26], mathematical nance [115], geology [69], genetic analysis (see, e. g. , [110], [132], and [155]), ecology [111], cognitive psychology (see, e. g. , [102], and [221]), neurology [109], biology [194], biomedical sciences [20], epidemi- ogy [17], political analysis and social processes [55], and many other elds of science and engineering. Although stochastic di erential equations are quite popular models in the above-mentioned disciplines, there is a lot of mathem- ics behind them that is usually not trivial and for which details are not known to practitioners or experts of other elds. In order to make this book useful to a wider audience, we decided to keep the mathematical level of the book su ciently low and often rely on heuristic arguments to stress the underlying ideas of the concepts introduced rather than insist on technical details. Ma- ematically oriented readers may nd this approach inconvenient, but detailed references are always given in the text. As the title of the book mentions, the aim of the book is twofold. 304 pp. Englisch. N° de réf. du vendeur 9780387758381
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Simulation and Inference for Stochastic Differential Equations
Edité par
Springer, Springer Mai 2008, 2008
ISBN 10 : 0387758380
ISBN 13 : 9780387758381
Neuf
Couverture rigide
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book covers a highly relevant and timely topic that is of wide interest, especially in finance, engineering and computational biology. The introductory material on simulation and stochastic differential equation is very accessible and will prove popular with many readers. While there are several recent texts available that cover stochastic differential equations, the concentration here on inference makes this book stand out. No other direct competitors are known to date. With an emphasis on the practical implementation of the simulation and estimation methods presented, the text will be useful to practitioners and students with minimal mathematical background. What's more, because of the many R programs, the information here is appropriate for many mathematically well educated practitioners, too. Many of the methods presented in the book have, so far, not been used much in practice because of the lack of an implementation in a unified framework. Iacus' book bridges this gap. With the R code included, a lot of useful methods become easy to use.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 304 pp. Englisch. N° de réf. du vendeur 9780387758381
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Simulation and Inference for Stochastic Differential Equations : With R Examples
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Springer, Springer, 2008
ISBN 10 : 0387758380
ISBN 13 : 9780387758381
Neuf
Couverture rigide
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Stochastic di erential equations model stochastic evolution as time evolves. These models have a variety of applications in many disciplines and emerge naturally in the study of many phenomena. Examples of these applications are physics (see, e. g. , [176] for a review), astronomy [202], mechanics [147], economics [26], mathematical nance [115], geology [69], genetic analysis (see, e. g. , [110], [132], and [155]), ecology [111], cognitive psychology (see, e. g. , [102], and [221]), neurology [109], biology [194], biomedical sciences [20], epidemi- ogy [17], political analysis and social processes [55], and many other elds of science and engineering. Although stochastic di erential equations are quite popular models in the above-mentioned disciplines, there is a lot of mathem- ics behind them that is usually not trivial and for which details are not known to practitioners or experts of other elds. In order to make this book useful to a wider audience, we decided to keep the mathematical level of the book su ciently low and often rely on heuristic arguments to stress the underlying ideas of the concepts introduced rather than insist on technical details. Ma- ematically oriented readers may nd this approach inconvenient, but detailed references are always given in the text. As the title of the book mentions, the aim of the book is twofold. N° de réf. du vendeur 9780387758381
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Simulation and Inference for Stochastic Differential Equations: With R Examples (Springer Series in Statistics)
Edité par
Springer, 2008
ISBN 10 : 0387758380
ISBN 13 : 9780387758381
Ancien ou d'occasion
Couverture rigide
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Simulation and Inference for Stochastic Differential Equations: With R Examples
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ISBN 10 : 0387758380
ISBN 13 : 9780387758381
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