Inference for Diffusion Processes
Author | : Christiane Fuchs |
Publisher | : Springer Science & Business Media |
Total Pages | : 439 |
Release | : 2013-01-18 |
ISBN-13 | : 9783642259692 |
ISBN-10 | : 3642259693 |
Rating | : 4/5 (93 Downloads) |
Download or read book Inference for Diffusion Processes written by Christiane Fuchs and published by Springer Science & Business Media. This book was released on 2013-01-18 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diffusion processes are a promising instrument for realistically modelling the time-continuous evolution of phenomena not only in the natural sciences but also in finance and economics. Their mathematical theory, however, is challenging, and hence diffusion modelling is often carried out incorrectly, and the according statistical inference is considered almost exclusively by theoreticians. This book explains both topics in an illustrative way which also addresses practitioners. It provides a complete overview of the current state of research and presents important, novel insights. The theory is demonstrated using real data applications.