Practical bandwidth selection in deconvolution kernel density estimation. - Aurore Delaigle; Irène Gijbels (Comput. Stat. Data Anal., 2004)

Bandwidth Selection for Changepoint Estimation in Nonparametric Regression. - Irène Gijbels; Anne-Cécile Goderniaux (Technometrics, 2004)

Data-driven boundary estimation in deconvolution problems. - Aurore Delaigle; Irène Gijbels (Comput. Stat. Data Anal., 2006)

Edge-Preserving Image Denoising and Estimation of Discontinuous Surfaces. - Irène Gijbels; Alexandre Lambert; Peihua Qiu (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Frequent problems in calculating integrals and optimizing objective functions: a case study in density deconvolution. - Aurore Delaigle; Irène Gijbels (Stat. Comput., 2007)

Comparison of presmoothing methods in kernel density estimation under censoring. - M. Amalia Jácome; Irène Gijbels; Ricardo Cao (Comput. Stat., 2008)

P-splines regression smoothing and difference type of penalty. - Irène Gijbels; Anneleen Verhasselt (Stat. Comput., 2010)

Conditional copulas, association measures and their applications. - Irène Gijbels; Noël Veraverbeke; Marek Omelka (Comput. Stat. Data Anal., 2011)

Kaplan-Meier Estimator. - Irène Gijbels (International Encyclopedia of Statistical Science, 2011)

Semiparametric estimation of conditional copulas. - Fentaw Abegaz; Irène Gijbels; Noël Veraverbeke (J. Multivar. Anal., 2012)

Variable Selection in Additive Models Using P-Splines. - Anestis Antoniadis; Irène Gijbels; Anneleen Verhasselt (Technometrics, 2012)

Derivative estimation with local polynomial fitting. - Kris De Brabanter; Jos De Brabanter; Bart De Moor; Irène Gijbels (J. Mach. Learn. Res., 2013)

Robust nonnegative garrote variable selection in linear regression. - Irène Gijbels; Inge Vrinssen (Comput. Stat. Data Anal., 2015)

Integrated data depth for smooth functions and its application in supervised classification. - Daniel Hlubinka; Irène Gijbels; Marek Omelka; Stanislav Nagy (Comput. Stat., 2015)

Consistency of non-integrated depths for functional data. - Irène Gijbels; Stanislav Nagy (J. Multivar. Anal., 2015)

Weak convergence of discretely observed functional data with applications. - Stanislav Nagy; Irène Gijbels; Daniel Hlubinka (J. Multivar. Anal., 2016)

Score tests for covariate effects in conditional copulas. - Irène Gijbels; Marek Omelka; Michal Pesta; Noël Veraverbeke (J. Multivar. Anal., 2017)

Copula directed acyclic graphs. - Eugen Pircalabelu; Gerda Claeskens; Irène Gijbels (Stat. Comput., 2017)

Multivariate Tail Coefficients: Properties and Estimation. - Irène Gijbels; Vojtech Kika; Marek Omelka (Entropy, 2020)

Semiparametric quantile regression using family of quantile-based asymmetric densities. - Irène Gijbels; Rezaul Karim; Anneleen Verhasselt (Comput. Stat. Data Anal., 2021)

On the specification of multivariate association measures and their behaviour with increasing dimension. - Irène Gijbels; Vojtech Kika; Marek Omelka (J. Multivar. Anal., 2021)

Omnibus test for covariate effects in conditional copula models. - Irène Gijbels; Marek Omelka; Noël Veraverbeke (J. Multivar. Anal., 2021)

On a family of two-piece circular distributions. - Jose Ameijeiras-Alonso; Irène Gijbels; Anneleen Verhasselt (Comput. Stat. Data Anal., 2022)

Penalized wavelet estimation and robust denoising for irregular spaced data. - Umberto Amato; Anestis Antoniadis; Italia De Feis; Irène Gijbels (Comput. Stat., 2022)

Wavelet-based robust estimation and variable selection in nonparametric additive models. - Umberto Amato; Anestis Antoniadis; Italia De Feis; Irène Gijbels (Stat. Comput., 2022)

A new distance based measure of asymmetry. - Jonas Baillien; Irène Gijbels; Anneleen Verhasselt (J. Multivar. Anal., 2023)

Predictive Maintenance of Pins in the ECD Equipment for Cu Deposition in the Semiconductor Industry. - Umberto Amato; Anestis Antoniadis; Italia De Feis; Domenico Fazio; Caterina Genua; Irène Gijbels; Donatella Granata; Antonino La Magna; Daniele Pagano; Gabriele Tochino; Patrizia Vasquez (Sensors, 2023)

Parametric dependence between random vectors via copula-based divergence measures. - Steven De Keyser; Irène Gijbels (J. Multivar. Anal., 2024)

Hierarchical variable clustering via copula-based divergence measures between random vectors. - Steven De Keyser; Irène Gijbels (Int. J. Approx. Reason., 2024)

High-dimensional copula-based Wasserstein dependence. - Steven De Keyser; Irène Gijbels (Comput. Stat. Data Anal., 2025)