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We are Tilburg University

Expertise

John H.J. Einmahl is Arie Kapteyn professor of Statistics at the Department of Econometrics & OR and research fellow at CentER, both at Tilburg University. John's research has been published in leading journals in Statistics and Probability Theory, like the Annals of Statistics, the Annals of Probability, JRSS B, JASA, J. of Econometrics, and Probability Theory and Related Fields. His research interests are mainly in the area of nonparametric statistics and its ramifications, including statistics of extremes, empirical likelihood, generalized and multivariate quantiles, and (local) empirical processes.

John is a fellow of the Institute of Mathematical Statistics and an Associate Editor of Extremes, Econometrics and Statistics, and Statistica Neerlandica. He has been an Associate Editor of The Annals of Statistics, The Annals of Probability, and Bernoulli. He visited Florida State University as a Senior Fulbright Scholar. 

Courses

Recent publications

  1. Cube Root Weak Convergence of Empirical Estimators of a Density Level…

    Berthet, P., & Einmahl, J. (2020). Cube Root Weak Convergence of Empirical Estimators of a Density Level Set. (CentER Discussion Paper; Vol. 2020-015). CentER, Center for Economic Research.
  2. Goodness-of-fit testing for copulas: a distribution-free approach

    Can, S. U., Einmahl, J., & Laeven, R. J. A. (Accepted/In press). Goodness-of-fit testing for copulas: a distribution-free approach. Bernoulli.
  3. Empirical Tail Copulas for Functional Data

    Einmahl, J., & Segers, J. (2020). Empirical Tail Copulas for Functional Data. (CentER Discussion Paper; Vol. 2020-004). CentER, Center for Economic Research.
  4. Spatial Dependence and Space-Time Trend in Extreme Events

    Einmahl, J., Ferreira, A., de Haan, L., Neves, C., & Zhou, C. (2020). Spatial Dependence and Space-Time Trend in Extreme Events. (CentER Discussion Paper; Vol. 2020-009). CentER, Center for Economic Research.
  5. Testing the multivariate regular variation model

    Einmahl, J., Yang, F., & Zhou, C. (2020). Testing the multivariate regular variation model. Journal of Business & Economic Statistics.

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