Gaussian Stochastic Processes
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Stable Non-Gaussian Random Processes
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 practitioners. The book assumes only a first-year graduate course in probability. Each chapter begins with a brief overview and concludes with a wide range of exercises at varying levels of difficulty. The authors supply detailed hints for the more challenging problems, and cover many advances made in recent years.
Theory of Stochastic Processes
Author: Dmytro Gusak
language: en
Publisher: Springer Science & Business Media
Release Date: 2010-07-10
Providing the necessary materials within a theoretical framework, this volume presents stochastic principles and processes, and related areas. Over 1000 exercises illustrate the concepts discussed, including modern approaches to sample paths and optimal stopping.
Stochastic Processes
Author: Robert G. Gallager
language: en
Publisher: Cambridge University Press
Release Date: 2013-12-12
The definitive textbook on stochastic processes, written by one of the world's leading information theorists, covering both theory and applications.