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Gerda Claeskens

Gerda Claeskens

D-Index & Metrics

Mathematics

D-Index
39
Citations
8607
World Ranking
2149
National Ranking
26

Research.com Recognitions

  • 2019 - Fellow of the American Statistical Association (ASA)

Overview

Gerda Claeskens is affiliated with KU Leuven in Belgium, focusing on research in mathematics and computer science, with particular emphasis on statistics and probability and artificial intelligence. Their work encompasses numerous publications in topics such as statistical methods and inference, advanced statistical methods and models, Bayesian methods and mixture models, and applications related to insurance, mortality, demography, and risk management.

The main fields of study include:

  • Mathematics
  • Computer Science

Subfields of study cover:

  • Statistics and Probability
  • Artificial Intelligence
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Demography

Key research topics addressed by Claeskens are:

  • Statistical Methods and Inference
  • Advanced Statistical Methods and Models
  • Statistical Methods and Bayesian Inference
  • Bayesian Methods and Mixture Models
  • Control Systems and Identification
  • Machine Learning and Data Classification
  • Insurance, Mortality, Demography, Risk Management

Claeskens has authored several recent papers including:

  • Instance-dependent cost-sensitive parametric learning, 2024, published in Neurocomputing
  • Nonparametric C- and D-vine-based quantile regression, 2022, published in UEA Digital Repository (University of East Anglia)
  • Modeling the Occurrence of Events Subject to a Reporting Delay via an EM Algorithm, 2022, published in Statistical Science
  • Optimal finite sample post-selection confidence distributions in generalized linear models, 2022, published in Journal of Statistical Planning and Inference
  • A hierarchical mixture cure model with unobserved heterogeneity for credit risk, 2021, published in Econometrics and Statistics

Frequent coauthors collaborating with Claeskens include:

  • Jing Zhou
  • Sarah Pirenne
  • Maarten Jansen
  • Andrea C. Garcia-Angulo
  • Katrien Antonio

The scientist's work has appeared across a range of publication venues, particularly:

  • arXiv (Cornell University)
  • Electronic Journal of Statistics
  • Journal of Statistical Planning and Inference
  • Scandinavian Journal of Statistics
  • Test

In recognition of professional contributions, Claeskens was awarded the title of Fellow of the American Statistical Association (ASA) in 2019.

Best Publications

  • Model selection and model averaging

    Gerda Claeskens;Nils Lid Hjort

  • Model Selection and Model Averaging: Frontmatter

    Gerda Claeskens;Nils Lid Hjort

  • Frequentist Model Average Estimators

    Nils Lid Hjort;Gerda Claeskens

  • The Focused Information Criterion

    Gerda Claeskens;Nils Lid Hjort

  • The forecast combination puzzle: a simple theoretical explanation

    Gerda Claeskens;Jan Magnus;Andrey Vasnev;Wendun Wang

  • Non‐parametric small area estimation using penalized spline regression

    Jean Opsomer;Gerda Claeskens;Maria Giovanna Ranalli;Goeran Kauermann

  • Asymptotic properties of penalized spline estimators

    Gerda Claeskens;Tatyana Krivobokova;Jean D. Opsomer

  • On model selection and model misspecification in causal inference

    Stijn Vansteelandt;Maarten Bekaert;Gerda Claeskens

  • Bootstrap confidence bands for regression curves and their derivatives

    Gerda Claeskens;Ingrid Van Keilegom

  • Exact likelihood ratio tests for penalised splines

    Ciprian Crainiceanu;David Ruppert;Gerda Claeskens;M. P. Wand

  • Unravelling the predictive power of telematics data in car insurance pricing

    Roel Verbelen;Katrien Antonio;Katrien Antonio;Gerda Claeskens

  • Multivariate Functional Halfspace Depth

    Gerda Claeskens;Mia Hubert;Leen Slaets;Kaveh Vakili

  • Model-assisted estimation for complex surveys using penalised splines

    FJ Breidt;Gerda Claeskens;JD Opsomer

  • Focused Information Criteria and Model Averaging for the Cox Hazard Regression Model

    Nils Lid Hjort;Gerda Claeskens

  • Simultaneous Confidence Bands for Penalized Spline Estimators

    Tatyana Krivobokova;Thomas Kneib;Gerda Claeskens

  • Variable selection for logistic regression using a prediction-focused information criterion.

    Gerda Claeskens;Christophe Croux;Johan Van Kerckhoven

  • Time to default in credit scoring using survival analysis: a benchmark study

    Lore Dirick;Gerda Claeskens;Bart Baesens;Bart Baesens

  • Testing the Fit of a Parametric Function

    Marc Aerts;Gerda Claeskens;Jeffrey D. Hart

  • Testing lack of fit in multiple regression

    Marc Aerts;Gerda Claeskens;Jeffrey Hart

  • Empirical likelihood confidence regions for comparison distributions and roc curves

    Gerda Claeskens;Bing-Yi Jing;Liang Peng;Wang Zhou

  • Unraveling the Predictive Power of Telematics Data in Car Insurance Pricing

    Verbelen Roel;Katrien Antonio;Katrien Antonio;Gerda Claeskens

  • Model-Assisted Estimation for Complex Surveys Using Penalized Splines

    F. J. Breidt;Gerda Claeskens;J. D. Opsomer

Frequent Co-Authors

Nils Lid Hjort
Nils Lid Hjort University of Oslo
Bart Baesens
Bart Baesens KU Leuven
Lourens J. Waldorp
Lourens J. Waldorp University of Amsterdam
Christophe Croux
Christophe Croux EDHEC Business School
Mia Hubert
Mia Hubert KU Leuven
Liang Peng
Liang Peng Georgia State University
Holger Dette
Holger Dette Ruhr University Bochum
Niel Hens
Niel Hens Hasselt University

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