• Warandelaan 2, Koopmans Building, room K 501

    5037 AB Tilburg

    Netherlands

1985 …2020

Research output per year

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Personal profile

Research interests

John H.J. Einmahl is 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.

Career

John is a fellow of the Institute of Mathematical Statistics and he has been an elected member of its council. He is also an elected member of the International Statistical Institute.  John is 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, Bernoulli, and the J. of Statistical Planning and Inference. He has been a codirector of the Stochastics of Extremes and Risk Analysis program at the European research institute Eurandom. He visited Florida State University as a Senior Fulbright Scholar. He is a co-chair of the organizing committee of the 10th Extreme Value Analysis meeting in Delft in 2017.

Current courses

Click here for my courses.

Keywords

  • Statistical Methods
  • Estimation Theory
  • Mathematics
  • Extreme Value Theory
  • Theory Of Probability
  • Statistics

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Research Output

Empirical Tail Copulas for Functional Data

Einmahl, J. & Segers, J., 3 Feb 2020, Tilburg: CentER, Center for Economic Research, 32 p. (CentER Discussion Paper; vol. 2020-004).

Research output: Working paperDiscussion paperOther research output

File
  • Goodness-of-fit testing for copulas: a distribution-free approach

    Can, S. U., Einmahl, J. & Laeven, R. J. A., 2020, In : Bernoulli.

    Research output: Contribution to journalArticleScientificpeer-review

    Spatial Dependence and Space-Time Trend in Extreme Events

    Einmahl, J., Ferreira, A., de Haan, L., Neves, C. & Zhou, C., 24 Mar 2020, Tilburg: CentER, Center for Economic Research, 25 p. (CentER Discussion Paper; vol. 2020-009).

    Research output: Working paperDiscussion paperOther research output

    File
  • Testing the multivariate regular variation model

    Einmahl, J., Yang, F. & Zhou, C., 2020, In : Journal of Business & Economic Statistics.

    Research output: Contribution to journalArticleScientificpeer-review

    Estimating the maximum possible earthquake magnitude using extreme value methodology: The Groningen case

    Beirlant, J., Kijko, A., Reynkens, T. & Einmahl, J. H. J., Sep 2019, In : Natural Hazards. 98, 3, p. 1091-1113

    Research output: Contribution to journalArticleScientificpeer-review

  • Projects

    Project on Multivariate Extreme Value Theory

    Cai, J., Einmahl, J. & de Haan, L. F. M.

    1/09/0924/10/12

    Project: Research project

    Essays in nonparametric statistics

    Gantner, M. & Einmahl, J.

    1/04/071/04/10

    Project: Research project

    Extreme values in high-dimensional time series

    Krajina, A. & Einmahl, J.

    1/09/051/09/09

    Project: Research project