A New Characterization of Bivariate Copulas
DOI10.1080/03610920903151459zbMath1203.62101OpenAlexW2072324786MaRDI QIDQ3058396
Fabrizio Durante, Piotr Jaworski
Publication date: 22 November 2010
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610920903151459
Measures of association (correlation, canonical correlation, etc.) (62H20) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Probability distributions: general theory (60E05) Differentiation (real functions of one variable): general theory, generalized derivatives, mean value theorems (26A24) Functions of several variables (26B99)
Related Items (23)
Uses Software
Cites Work
- Unnamed Item
- Tail risk of multivariate regular variation
- An introduction to copulas.
- Constructing copula functions with weighted geometric means
- 2-increasing binary aggregation operators
- On the construction of copulas and quasi-copulas with given diagonal sections
- Tail dependence functions and vine copulas
- Construction of multivariate distributions with given marginals
- A characterization of quasi-copulas
- A new class of bivariate copulas.
- On the characterization of a class of binary operations on distribution functions
- Intervals of 1-Lipschitz aggregation operators, quasi-copulas, and copulas with given affine section
- Rectangular Patchwork for Bivariate Copulas and Tail Dependence
- COPULAS WITH GIVEN DIAGONAL SECTIONS: NOVEL CONSTRUCTIONS AND APPLICATIONS
- OPPOSITE DIAGONAL SECTIONS OF QUASI-COPULAS AND COPULAS
- On uniform tail expansions of bivariate copulas
- Gluing Copulas
This page was built for publication: A New Characterization of Bivariate Copulas