Weak dependence : with examples and applications
This monograph is aimed at developing Doukhan/Louhichi's (1999) idea to measure asymptotic independence of a random process. The authors propose various examples of models fitting such conditions such as stable Markov chains, dynamical systems or more complicated models, nonlinear, non-Markovia...
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| Autori principali: | , , , , , |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2007. |
| Serie: | Lecture Notes in Statistics
190 |
| Soggetti: | |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
L'impression du document génère 323 p. Contributeurs : León R. José Rafael, Sana Louhichi, Clémentine Prieur (auteurs) Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Weak dependence, with examples and applications, Jérôme Dedecker, Paul Doukhan, Gabriel Lang ... [et al.], 2007, New York, Springer, 1 vol. (XIV-318 p.), Lecture notes in statistics, 978-0-387-69951-6 • Weak Dependence: With Examples and Applications, Texte imprimé, 9780387517896 • Weak dependence, with examples and applications, Jérôme Dedecker, Paul Doukhan, Gabriel Lang ... [et al.], 2007, New York, Springer, 1 vol. (XIV-318 p.), Lecture notes in statistics, 978-0-387-69951-6 |