In the theory of random processes there are two that are fundamental- one, the Bachelier Wiener model of Brownian motion, has been the subject of many books. The other, the Poisson process, seems at first sight less worthy of study in its own right and has been largely neglected in the literature. This book attempts to redress the balance. It records Kingman's fascination with the beauty and wide applicability of Poisson processes in one or more dimensions. The
mathematical theory is powerful, and a few key results often produce surprising consequences.
Random scattering of points occur in many different applications. The Poisson process is a flexible and usable model for such phenomena which is often neglected. This book details the wide applicability of Poisson processes in one or more dimensions.
Random scattering of points occur in many different applications. The Poisson process is a flexible and usable model for such phenomena which is often neglected. This book details the wide applicability of Poisson processes in one or more dimensions.
"Poisson Point Processes provides an overview of non-homogeneous and multidimensional Poisson point processes and their numerous applications. Readers will find constructive mathematical tools and...
An extension problem (often called a boundary problem) of Markov processes has been studied, particularly in the case of one-dimensional diffusion processes, by W. Feller, K. Itô, and H. P. McKean,...
This book covers an extensive class of models involving inhomogeneous Poisson processes and deals with their identification, i.e. the solution of certain estimation or hypothesis testing problems...