Diffusion processes are a promising instrument for realistically modelling the time-continuous evolution of phenomena not only in the natural sciences but also

The first book in inference for stochastic processes from a statistical, rather than a probabilistic, perspective. It provides a systematic exposition of theore

Decision making in all spheres of activity involves uncertainty. If rational decisions have to be made, they have to be based on the past observations of the ph

This book presents various results and techniques from the theory of stochastic processes that are useful in the study of stochastic problems in the natural sci

Focussing on stochastic models for the spread of infectious diseases in a human population, this book is the outcome of a two-week ICPAM/CIMPA school on "Stocha