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

The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations dr