Inference for Diffusion Processes

Description:

<p>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.</p>

subjects: Approximation theory,  Differential equations,  Markov processes,  Diffusion processes,  Stochastic differential equations,  Diffusion,  Life sciences,  Biometry,  Statistics,  Statistical methods,  Mathematical statistics,  Economics,  Statistical Theory and Methods,  Statistics for Life Sciences, Medicine, Health Sciences,  Statistics for Business/Economics/Mathematical Finance/Insurance