This book serves as a standard reference, making this area accessible not only to researchers in probability and statistics, but also to graduate students and p
This book provides a self-contained presentation on the structure of a large class of stable processes, known as self-similar mixed moving averages. The authors
This volume first introduces the mathematical tools necessary for understanding and working with a broad class of applied stochastic models. The toolbox include
This text defines a variety of non-Gaussian processes, develops methods for generating realizations of non-Gaussian models, and provides methods for finding pro