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Both an introduction and a basic reference text on non-Gaussian stable models, for graduate students and practitioners. Assuming only a first-year graduate cour

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