Advertisement
Published in:
2013 | OriginalPaper | Chapter
1. Introduction
Author : Christiane Fuchs
Published in: Inference for Diffusion Processes
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
Diffusion processes are a promising tool to realistically model the time-continuous evolution of phenomena not only in natural sciences but also in finance and economics. Their mathematical theory, however, is challenging. This book explains how diffusion processes can be derived as models for real life phenomena and how model parameters can statistically be estimated. This chapter specifies the objectives and structure of this book.