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Weak Dependence: With Examples and Applications

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Weak Dependence: With Examples and Applications - Dedecker, Jérome, and Doukhan, Paul, and Lang, Gabriel
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This book develops Doukhan/Louhichi's 1999 idea to measure asymptotic independence of a random process. The authors, who helped develop this theory, propose examples of models fitting such conditions: stable Markov chains, dynamical systems or more complicated models, nonlinear, non-Markovian, and heteroskedastic models with infinite memory. Applications are still needed to develop a method of analysis for nonlinear times series, and this book provides a strong basis for additional studies.

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Weak Dependence: With Examples and Applications 2007, Springer, New York, NY

ISBN-13: 9780387699516

2007 edition

Trade paperback