ÃÀÅ®¸£ÀûµçÓ°ÔºÎçÒ¹

dr. NW (Nick) Koning

Biography

Nick Koning is assistant professor of Machine Learning and Data Science at the Econometric Institute.

He obtained his PhD in 2021 in econometrics, and his interest has since drifted to the foundations of statistics. His current work focusses on hypothesis testing and general uncertainty quantification using E-values.

Nick has worked on the foundations of the E-value, testing with data-dependent significance levels, sequential testing, conformal prediction, equivalence testing, permutation testing and reporting evidence against multiple hypotheses.

His work on this topic has been published in top statistics journals, including the Annals of Statistics, the Journal of the Royal Statistical Society: Series B, Biometrika and Statistical Science.

Erasmus School of Economics

Associate professor | Econometrics
Email
n.w.koning@ese.eur.nl

More information

Work

  • Nick W. Koning & Sam Van Meer (2026) - - Journal of the Royal Statistical Society. Series B: Statistical Methodology - doi: -
  • Nick Koning (2026) - - Annals of Statistics -
  • Nick Koning (2024) - - Biometrika, 111 (4), 1405-1412 - doi: -
  • Jesse Hemerik & Nick Koning (2025) - - Statistical Science, 41 (1), 222-226
  • Nick Koning & Jesse Hemerik (2024) - - Biometrika, 111 (2), 441-458 - doi: -

      Year
      2025
      Course Code
      FEB21011

      Year
      2025
      Course Code
      FEB21011S

      Year
      2025
      Course Code
      FEB21011X

      Year
      2025
      Course Code
      FEB53021

      Year
      2025
      Course Code
      FEB63019X

      Level
      Master
      Year Level
      Master
      Year
      2025
      Course Code
      TIC10041

      Level
      Master
      Year Level
      Master
      Year
      2025
      Course Code
      TIC20999

      Level
      Master
      Year Level
      Master
      Year
      2025
      Course Code
      TIF20041

      Compare @count study programme

      • @title

        • Duration: @duration
      Compare study programmes