Goodness-of-fit Procedures for Copula Models Based on the Probability Integral Transformation
DOI10.1111/j.1467-9469.2006.00470.xzbMath1124.62028OpenAlexW2053560298MaRDI QIDQ3411078
Bruno Rémillard, Jean-François Quessy, Christian Genest
Publication date: 8 December 2006
Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1467-9469.2006.00470.x
Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Order statistics; empirical distribution functions (62G30)
Related Items (92)
Cites Work
- Unnamed Item
- Robust portfolio optimization
- On the simultaneous associativity of F(x,y) and x+y-F(x,y)
- A class of bivariate distributions including the bivariate logistic
- An introduction to copulas. Properties and applications
- Fitting bivariate loss distributions with copulas
- On Kendall's process
- Estimation of a bivariate extreme value distribution
- Bivariate distributions with given extreme value attractor
- On the joint asymptotic behavior of two rank-based estimators of the association parameter in the gamma frailty model
- Bivariate option pricing using dynamic copula models
- Biometrika Centenary: Survival analysis
- Modelling failure-time associations in data with multiple levels of clustering
- A goodness-of-fit test for association in a bivariate survival model
- Checking the adequacy of the gamma frailty model for multivariate failure times
- A nonparametric estimation procedure for bivariate extreme value copulas
- The Use of Archimedean Copulas to Model Portfolio Allocations
- Understanding Relationships Using Copulas
- On the multivariate probability integral transformation
This page was built for publication: Goodness-of-fit Procedures for Copula Models Based on the Probability Integral Transformation