Clustering dependent observations with copula functions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://link.springer.com/article/10.1007/s00362-016-0822-3/fulltext.html
Reference19 articles.
1. Brechmann E, Schepsmeier U (2013) Modeling dependence with c- and d-vine copulas: the R package CDVine. J Stat Softw 52(3):1–27
2. Cherubini U, Luciano E, Vecchiato W (2004) Copula methods in finance. Wiley, Chichester
3. Clarke K (2007) A simple distribution-free test for non-nested model selection. Polit Anal 15:347–363
4. Di Lascio FML, Giannerini S (2012) A copula-based algorithm for discovering patterns of dependent observations. J Classif 29(1):50–75
5. Di Lascio FML, Giannerini S (2015) CoClust. R package version 0.3-1
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