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Irène Gijbels

Irène Gijbels

D-Index & Metrics

Mathematics

D-Index
42
Citations
15894
World Ranking
1745
National Ranking
24

Research.com Recognitions

  • 2002 - Fellow of the American Statistical Association (ASA)

Overview

Irène Gijbels is affiliated with KU Leuven in Belgium and focuses primarily on research in mathematics and its applications within economics, econometrics, and finance. Their work spans a variety of statistical and computational methodologies as applied to complex data structures and financial modeling.

The main fields of study in which Irène Gijbels has published include:

  • Mathematics
  • Economics, Econometrics and Finance

Within these domains, the principal subfields of study are:

  • Statistics and Probability
  • Finance
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Management Science and Operations Research

The primary topics addressed in their research include:

  • Statistical Methods and Inference
  • Financial Risk and Volatility Modeling
  • Advanced Statistical Methods and Models
  • Statistical Methods and Bayesian Inference
  • Bayesian Methods and Mixture Models
  • Statistical Distribution Estimation and Applications
  • Sparse and Compressive Sensing Techniques

Irène Gijbels has contributed extensively to academic journals and publication venues such as:

  • arXiv (Cornell University)
  • Journal of Multivariate Analysis
  • Computational Statistics & Data Analysis
  • Annals of the Institute of Statistical Mathematics
  • Statistical Methods & Applications

Selected recent papers authored or co-authored by Irène Gijbels include:

  • "Penalised robust estimators for sparse and high-dimensional linear models," 2020, Statistical Methods & Applications
  • "Local polynomial expectile regression," 2021, Annals of the Institute of Statistical Mathematics
  • "Extremile Regression," 2021, Journal of the American Statistical Association
  • "Hierarchical variable clustering via copula-based divergence measures between random vectors," 2023, International Journal of Approximate Reasoning
  • "Multivariate Tail Coefficients: Properties and Estimation," 2020, Entropy

Frequent co-authors collaborating with Irène Gijbels encompass:

  • Anneleen Verhasselt
  • Umberto Amato
  • Anestis Antoniadis
  • Steven De Keyser
  • Italia De Feis

Irène Gijbels was named a Fellow of the American Statistical Association (ASA) in 2002.

Best Publications

  • Local polynomial modelling and its applications

    Jianqing Fan;Irène Gijbels

  • Local Polynomial Modeling and Its Applications

    Hans-Georg Muller;J. Fan;I. Gijbels

  • Generalized Partially Linear Single-Index Models

    R. J. Carroll;Jianqing Fan;Irène Gijbels;M. P. Wand

  • Variable Bandwidth and Local Linear Regression Smoothers

    Jianqing Fan;Irene Gijbels

  • Data-Driven Bandwidth Selection in Local Polynomial Fitting: Variable Bandwidth and Spatial Adaptation

    Jianqing Fan;Irene Gijbels

  • On estimation of monotone and concave frontier functions

    Irène Gijbels;Enno Mammen;Byeong U. Park;Léopold Simar

  • Local maximum likelihood estimation and inference

    Jianqing Fan;Mark Farmen;Irène Gijbels

  • Censored Regression - Local Linear-approximations and Their Applications

    Jianqing Fan;Irène Gijbels

  • Practical bandwidth selection in deconvolution kernel density estimation

    Aurore Delaigle;Irène Gijbels

  • Improved kernel estimation of copulas: Weak convergence and goodness-of-fit testing

    Marek Omelka;Irène Gijbels;Noël Veraverbeke

  • Local likelihood and local partial likelihood in hazard regression

    Jianqing Fan;Irène Gijbels;Martin King

  • Testing Monotonicity of Regression

    AW Bowman;MC Jones;Irène Gijbels

  • A study of variable bandwidth selection for local polynomial regression

    JQ Fan;Irène Gijbels;TC Hu;LS Huang

  • Strong Representations of the Survival Function Estimator for Truncated and Censored Data with Applications

    I. Gijbels;J.L. Wang

  • Bandwidth Selection in Nonparametric Kernel Testing

    Jiti Gao;Irene Gijbels

  • Local polynomial regression: Optimal kernels and asymptotic minimax efficiency

    Jianqing Fan;Theo Gasser;Irène Gijbels;Michael Brockmann

  • Bootstrap bandwidth selection in kernel density estimation from a contaminated sample

    A Delaigle;Irène Gijbels

  • On the estimation of jump points in smooth curves

    Irene Gijbels;Peter Hall;Peter Hall;Aloïs Kneip

  • Conditional copulas, association measures and their applications

    Irène Gijbels;Noël Veraverbeke;Marel Omelka

  • Estimation of a Conditional Copula and Association Measures

    Noël Veraverbeke;Marek Omelka;Irène Gijbels

Frequent Co-Authors

Jianqing Fan
Jianqing Fan Princeton University
Aurore Delaigle
Aurore Delaigle University of Melbourne
Alois Kneip
Alois Kneip University of Bonn
M. C. Jones
M. C. Jones The Open University
Matt P. Wand
Matt P. Wand University of Technology Sydney
Peihua Qiu
Peihua Qiu University of Florida
Bart De Moor
Bart De Moor KU Leuven
Mila Nikolova
Mila Nikolova École Normale Supérieure Paris-Saclay

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