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Irène Gijbels
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Journal Articles
- 2024
- [j28]Steven De Keyser, Irène Gijbels:
Hierarchical variable clustering via copula-based divergence measures between random vectors. Int. J. Approx. Reason. 165: 109090 (2024) - [j27]Steven De Keyser, Irène Gijbels:
Parametric dependence between random vectors via copula-based divergence measures. J. Multivar. Anal. 203: 105336 (2024) - 2023
- [j26]Jonas Baillien, Irène Gijbels, Anneleen Verhasselt:
A new distance based measure of asymmetry. J. Multivar. Anal. 193: 105118 (2023) - [j25]Umberto Amato, Anestis Antoniadis, Italia De Feis, Domenico Fazio, Caterina Genua, Irène Gijbels, Donatella Granata, Antonino La Magna, Daniele Pagano, Gabriele Tochino, Patrizia Vasquez:
Predictive Maintenance of Pins in the ECD Equipment for Cu Deposition in the Semiconductor Industry. Sensors 23(14): 6249 (2023) - 2022
- [j24]Jose Ameijeiras-Alonso, Irène Gijbels, Anneleen Verhasselt:
On a family of two-piece circular distributions. Comput. Stat. Data Anal. 168: 107403 (2022) - [j23]Umberto Amato, Anestis Antoniadis, Italia De Feis, Irène Gijbels:
Penalized wavelet estimation and robust denoising for irregular spaced data. Comput. Stat. 37(4): 1621-1651 (2022) - [j22]Umberto Amato, Anestis Antoniadis, Italia De Feis, Irène Gijbels:
Wavelet-based robust estimation and variable selection in nonparametric additive models. Stat. Comput. 32(1): 11 (2022) - 2021
- [j21]Irène Gijbels, Rezaul Karim, Anneleen Verhasselt:
Semiparametric quantile regression using family of quantile-based asymmetric densities. Comput. Stat. Data Anal. 157: 107129 (2021) - [j20]Irène Gijbels, Vojtech Kika, Marek Omelka:
On the specification of multivariate association measures and their behaviour with increasing dimension. J. Multivar. Anal. 182: 104704 (2021) - [j19]Irène Gijbels, Marek Omelka, Noël Veraverbeke:
Omnibus test for covariate effects in conditional copula models. J. Multivar. Anal. 186: 104804 (2021) - 2020
- [j18]Irène Gijbels, Vojtech Kika, Marek Omelka:
Multivariate Tail Coefficients: Properties and Estimation. Entropy 22(7): 728 (2020) - 2017
- [j17]Irène Gijbels, Marek Omelka, Michal Pesta, Noël Veraverbeke:
Score tests for covariate effects in conditional copulas. J. Multivar. Anal. 159: 111-133 (2017) - [j16]Eugen Pircalabelu, Gerda Claeskens, Irène Gijbels:
Copula directed acyclic graphs. Stat. Comput. 27(1): 55-78 (2017) - 2016
- [j15]Stanislav Nagy, Irène Gijbels, Daniel Hlubinka:
Weak convergence of discretely observed functional data with applications. J. Multivar. Anal. 146: 46-62 (2016) - 2015
- [j14]Irène Gijbels, Inge Vrinssen:
Robust nonnegative garrote variable selection in linear regression. Comput. Stat. Data Anal. 85: 1-22 (2015) - [j13]Daniel Hlubinka, Irène Gijbels, Marek Omelka, Stanislav Nagy:
Integrated data depth for smooth functions and its application in supervised classification. Comput. Stat. 30(4): 1011-1031 (2015) - [j12]Irène Gijbels, Stanislav Nagy:
Consistency of non-integrated depths for functional data. J. Multivar. Anal. 140: 259-282 (2015) - 2013
- [j11]Kris De Brabanter, Jos De Brabanter, Bart De Moor, Irène Gijbels:
Derivative estimation with local polynomial fitting. J. Mach. Learn. Res. 14(1): 281-301 (2013) - 2012
- [j10]Fentaw Abegaz, Irène Gijbels, Noël Veraverbeke:
Semiparametric estimation of conditional copulas. J. Multivar. Anal. 110: 43-73 (2012) - [j9]Anestis Antoniadis, Irène Gijbels, Anneleen Verhasselt:
Variable Selection in Additive Models Using P-Splines. Technometrics 54(4): 425-438 (2012) - 2011
- [j8]Irène Gijbels, Noël Veraverbeke, Marek Omelka:
Conditional copulas, association measures and their applications. Comput. Stat. Data Anal. 55(5): 1919-1932 (2011) - 2010
- [j7]Irène Gijbels, Anneleen Verhasselt:
P-splines regression smoothing and difference type of penalty. Stat. Comput. 20(4): 499-511 (2010) - 2008
- [j6]M. Amalia Jácome, Irène Gijbels, Ricardo Cao:
Comparison of presmoothing methods in kernel density estimation under censoring. Comput. Stat. 23(3): 381-406 (2008) - 2007
- [j5]Aurore Delaigle, Irène Gijbels:
Frequent problems in calculating integrals and optimizing objective functions: a case study in density deconvolution. Stat. Comput. 17(4): 349-355 (2007) - 2006
- [j4]Aurore Delaigle, Irène Gijbels:
Data-driven boundary estimation in deconvolution problems. Comput. Stat. Data Anal. 50(8): 1965-1994 (2006) - [j3]Irène Gijbels, Alexandre Lambert, Peihua Qiu:
Edge-Preserving Image Denoising and Estimation of Discontinuous Surfaces. IEEE Trans. Pattern Anal. Mach. Intell. 28(7): 1075-1087 (2006) - 2004
- [j2]Aurore Delaigle, Irène Gijbels:
Practical bandwidth selection in deconvolution kernel density estimation. Comput. Stat. Data Anal. 45(2): 249-267 (2004) - [j1]Irène Gijbels, Anne-Cécile Goderniaux:
Bandwidth Selection for Changepoint Estimation in Nonparametric Regression. Technometrics 46(1): 76-86 (2004)
Reference Works
- 2011
- [r1]Irène Gijbels:
Kaplan-Meier Estimator. International Encyclopedia of Statistical Science 2011: 709-710
Coauthor Index
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