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Ingrid Van Keilegom

Ingrid Van Keilegom

D-Index & Metrics

Mathematics

D-Index
36
Citations
6507
World Ranking
2614
National Ranking
35

Research.com Recognitions

  • 2013 - Fellow of the American Statistical Association (ASA)

Overview

Ingrid Van Keilegom is affiliated with KU Leuven in Belgium and specializes in the field of Mathematics, with a particular focus on Statistics and Probability. Their academic work spans a diverse range of themes within statistical methodology and inference.

The main research topics covered in their publications include:

  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Bayesian Methods and Mixture Models
  • Advanced Causal Inference Techniques
  • Advanced Statistical Methods and Models
  • Statistical Distribution Estimation and Applications
  • Statistical Methods in Clinical Trials

Their research output includes numerous papers published in notable academic venues. Frequent publication platforms consist of:

  • arXiv (Cornell University)
  • Electronic Journal of Statistics
  • The Annals of Statistics
  • Scandinavian Journal of Statistics
  • Biometrika

Some of the recent research papers produced by Ingrid Van Keilegom and collaborators are:

  • Review on ROC Curves in the Presence of Covariates, 2022, DOAJ (DOAJ: Directory of Open Access Journals)
  • Dependent censoring based on parametric copulas, 2022, Biometrika
  • Infectious diseases epidemiology, quantitative methodology, and clinical research in the midst of the COVID-19 pandemic: Perspective from a European country, 2020, Contemporary Clinical Trials
  • Two-step semiparametric empirical likelihood inference, 2020, The Annals of Statistics
  • Copula-based inference for bivariate survival data with left truncation and dependent censoring, 2022, Insurance Mathematics and Economics

Frequent co-authors contributing to their scholarly work include:

  • Jad Beyhum
  • Jean-Pierre Florens
  • Geert Molenberghs
  • Eni Musta
  • Ariel Alonso

Ingrid Van Keilegom was recognized as a Fellow of the American Statistical Association (ASA) in 2013, reflecting an established presence within the statistical community.

Best Publications

  • Estimation of semiparametric models when the criterion function is not smooth

    Xiaohong Chen;Oliver Linton;Ingrid Van Keilegom

  • Extending the Scope of Empirical Likelihood

    Nils Lid Hjort;Ian W. McKeague;Ingrid Van Keilegom

  • Non-parametric Estimation of the Residual Distribution

    Michael G. Akritas;Ingrid Van Keilegom

  • Bootstrapping the Poisson log-bilinear model for mortality forecasting

    Natacha Brouhns;Michel Denuit;Ingrid Van Keilegom

  • Bootstrap confidence bands for regression curves and their derivatives

    Gerda Claeskens;Ingrid Van Keilegom

  • A review on empirical likelihood methods for regression

    Song Xi Chen;Song Xi Chen;Ingrid Van Keilegom

  • Cure models in survival analysis

    Maïlis Amico;Ingrid Van Keilegom

  • Cure Models in Survival Analysis

    Maïlis Amico;Ingrid Van Keilegom

  • Estimation of Semiparametric Models When the Criterion Function is Not Smooth

    Xiaohong Chen;Oliver B. Linton;Ingrid Van Keilegom

  • Two-sample tests in functional data analysis starting from discrete data

    Peter Hall;Ingrid Van Keilegom

  • Regression when both response and predictor are functions

    F. Ferraty;I. Van Keilegom;P. Vieu

  • Transfer of tail information in censored regression models

    Ingrid Van Keilegom;Michaël G. Akritas

  • On the Validity of the Bootstrap in Non-Parametric Functional Regression

    Frederic Ferraty;Ingrid Van Keilegom;Philippe Vieu

  • Estimation and Bootstrap with Censored Data in Fixed Design Nonparametric Regression

    Ingrid Van Keilegom;Noël Veraverbeke

  • Estimation of a semiparametric transformation model

    Y. Oliver Linton;Stefan Sperlich;Ingrid Van Keilegom

  • Nonparametric Least Squares Methods for Stochastic Frontier Models

    Léopold Simar;Ingrid Van Keilegom;Valentin Zelenyuk

  • Estimating the error distribution in nonparametric multiple regression with applications to model testing

    Natalie Neumeyer;Ingrid Van Keilegom

  • Goodness-of-fit tests in parametric regression based on the estimation of the error distribution

    Ingrid Van Keilegom;Wenceslao González Manteiga;César Andrés Sánchez Sellero

  • A new test for the parametric form of the variance function in non‐parametric regression

    Holger Dette;Natalie Neumeyer;Ingrid Van Keilegom

  • Empirical likelihood tests for two-sample problems via nonparametric density estimation

    Riccardo Cao;Ingrid Van Keilegom

  • Empirical Likelihood for Non-Smooth Criterion Functions

    Elisa Maria Molanes Lopez;Ingrid Van Keilegom;Noël Veraverbeke

  • Testing for the equality of k regression curves

    Juan Carlos Pardo-Fernandez;Ingrid Van Keilegom;Wenceslao Gonzalez-Manteiga

Frequent Co-Authors

Song Xi Chen
Song Xi Chen Peking University
Wenceslao González-Manteiga
Wenceslao González-Manteiga University of Santiago de Compostela
Raymond J. Carroll
Raymond J. Carroll Texas A&M University
Léopold Simar
Léopold Simar Université Catholique de Louvain
Holger Dette
Holger Dette Ruhr University Bochum
Enno Mammen
Enno Mammen Heidelberg University
Jeffrey S. Racine
Jeffrey S. Racine McMaster University
Oliver Linton
Oliver Linton University of Cambridge
Michel Denuit
Michel Denuit Université Catholique de Louvain
Paul W. Wilson
Paul W. Wilson Clemson University

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