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Klausz, Michael
Quantification of stability in economic networks by „magic points“
Masterarbeit
2017
Wieczorek, Jakub
Explaining aggregated recovery rates
Masterarbeit
2017
Kreuzer, A., Erhardt, T., Nagler, T., and Czado, C.
Heavy tailed spatial autocorrelation models
Preprint
2017
Killiches, M., Kraus, D., and Czado, C.
Model distances for vine copulas in high dimensions
Statistics and Computing
2017
Feb
1–19
Killiches, M. and Czado, C.
Block-Maxima of Vines
Extreme Value Modeling and Risk Analysis - Methods and Applications (Dipak K. Dey and Jun Yan)
2015
nicht anwendbar - Kapitel 6
Dec
Killiches, M., Kraus, D., and Czado, C.
Using model distances to investigate the simplifying assumption, model selection and truncation levels for vine copulas
Preprint
2017
Killiches, M. and Czado, C.
A D-vine copula based model for repeated measurements extending linear mixed models with homogeneous correlation structure
Preprint
2017
Müller, D. and Czado C.
Dependence Modeling in Ultra High Dimensions with Vine Copulas and the Graphical Lasso
Preprint
2017
Schallhorn, N., Kraus, D., Nagler, T., and Czado, C.
D-vine quantile regression with discrete variables
Preprint
2017
Kraus, D. and Czado, C.
Growing simplified vine copula trees: improving Dißmann's algorithm
Preprint
2017
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