Simulation and Inference for Stochastic Differential Equations : With R Examples Hardback
Part of the Springer Series in Statistics series
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.
- Format: Hardback
- Pages: 285 pages, XVIII, 285 p.
- Publisher: Springer-Verlag New York Inc.
- Publication Date: 05/05/2008
- Category: Differential calculus & equations
- ISBN: 9780387758381
- Paperback / softback from £80.65
- PDF from £84.58