128 citations · 157 across the 5 of their papers we have counts for
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math.ST2023
Parametric dependence between random vectors via copula-based divergence measures
Steven De Keyser, Irène Gijbels
This article proposes copula-based dependence quantification between multiple groups of random variables of possibly different sizes via the family of -divergences. An axiomat…
math.ST2009★ 128 cited
Improved kernel estimation of copulas: Weak convergence and goodness-of-fit testing
Marek Omelka, Irène Gijbels, Noël Veraverbeke
We reconsider the existing kernel estimators for a copula function, as proposed in Gijbels and Mielniczuk [Comm. Statist. Theory Methods 19 (1990) 445--464], Fermanian, Radulovič a…
math.ST2007★ 29 cited
Non- and semi-parametric analysis of failure time data with missing failure indicators
Irene Gijbels, Danyu Lin, Zhiliang Ying
A class of estimating functions is introduced for the regression parameter of the Cox proportional hazards model to allow unknown failure statuses on some study subjects. The consi…