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Weak Dependence: With Examples and Applications - Lecture Notes in Statistics Jerome Dedecker 2007 edition
Weak Dependence: With Examples and Applications - Lecture Notes in Statistics
Jerome Dedecker
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.
322 pages, biography
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2007. gada 18. jūlijs |
| ISBN13 | 9780387699516 |
| Izdevēji | Springer-Verlag New York Inc. |
| Lapas | 322 |
| Izmēri | 155 × 235 × 17 mm · 476 g |
| Valoda | Angļu |