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

The modeling of stochastic dependence is fundamental for understanding random systems evolving in time. When measured through linear correlation, many of these

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

Advances in Planar Lipid Bilayers and Liposomes, Volume 7, continues to include invited chapters on a broad range of topics, covering both main arrangements of

Two disjoint classes of self-similar symmetric stable processes with stationary increments are studied. The first class consists of linear fractional stable pro