Simulation and Inference for Stochastic Differential Equations

Simulation and Inference for Stochastic Differential Equations
Author :
Publisher : Springer
Total Pages : 286
Release :
ISBN-10 : 038756747X
ISBN-13 : 9780387567471
Rating : 4/5 (471 Downloads)

Book Synopsis Simulation and Inference for Stochastic Differential Equations by : Stefano M. Iacus

Download or read book Simulation and Inference for Stochastic Differential Equations written by Stefano M. Iacus and published by Springer. This book was released on 2010-11-16 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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