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Weak Dependence: With Examples and Applications (Lecture Notes in Statistics) Book
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Product Description
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.
- 0387699511
- 9780387699516
- Jérôme Dedecker, Paul Doukhan, Gabriel Lang, José Rafael Leon, Sana Louhichi, Clémentine Prieur
- 15 August 2007
- Springer
- Paperback (Book)
- 322
- illustrated edition
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