ÃÀÅ®¸£ÀûµçÓ°ÔºÎçÒ¹

prof.dr. D (Dennis) Fok

Biography

Dennis Fok is professor of Econometrics and Data Science at the Econometric Institute of the Erasmus School of Economics, ÃÀÅ®¸£ÀûµçÓ°ÔºÎçÒ¹. He obtained his PhD in 2003 on advanced econometric marketing models. He combines state-of-the-art quantitative techniques to relevant marketing topics. His research interests include applied econometrics in general, with a particular focus on combining new econometric methods with marketing questions. More specifically, he focuses on modeling unobserved heterogeneity, non-linear models, Bayesian statistics, and modeling consumer-level decisions. Recently, his research interests also concern models for high-dimensional data. One example is the development of methods and efficient estimation techniques for modeling choices from a very large set of alternatives. His work has been published in the top marketing journals such as Journal of Marketing Research, Marketing Science, International Journal of Research in Marketing and in top econometrics journals such as Journal of Econometrics, Journal of Applied Econometrics, and Journal of Business and Economic Statistics.

Erasmus School of Economics

Full professor | Econometrics
Email
dfok@ese.eur.nl

More information

Work

  • Annika Camehl, Dennis Fok & Kathrin Gruber (2025) - - Journal of Econometrics, 249 - doi: -
  • Dennis Fok & Richard Paap (2025) - - Journal of Choice Modelling, 54 - doi: -
  • Markus Mueller, Kathrin Gruber & Dennis Fok (2025) - -
  • Luuk van Maasakkers, Dennis Fok & Bas Donkers (2023) - - Expert Systems with Applications, 212 - doi: -
  • Markus Mueller, Kathrin Gruber & Dennis Fok (2023) - - doi: -
  • Annika Camehl, Dennis Fok & Kathrin Gruber (2022) - -
  • Bruno Jacobs, Dennis Fok & Bas Donkers (2021) - - Marketing Science, 40 (5), 844-870 - doi: -
  • Matilda Dorotic, Dennis Fok, Peter C. Verhoef & Tammo H.A. Bijmolt (2021) - - Journal of the Academy of Marketing Science, 49 (5), 1021-1042 - doi: -
  • Aiste Ruseckaite, Dennis Fok & PP Goos (2020) - - Journal of Business and Economic Statistics, 38 (2), 257-271 - doi: -
  • Dennis Fok, Andre van Stel, AE Burke & Roy Thurik (2019) - - Annals of Operations Research, 283, 1111-1138 - doi:

      • Annika Schnucker, Dennis Fok & Kathrin Gruber (2022) - ERS IASC Young Researchers Award
      • Dennis Fok, Stefan Stremersch & Yvonne van Everdingen (2010) - ERIM Top Article Award

      Erasmus Quantitative Intelligence

      Start date approval
      november 2025
      End date approval
      november 2028
      Place
      ROTTERDAM
      Description
      Research and teaching

      Erasmus Quantitave Intelligence

      Start date approval
      november 2025
      End date approval
      november 2028
      Place
      ROTTERDAM
      Description
      Research and teaching

      Autoriteit Consument en Markt

      Start date approval
      januari 2026
      End date approval
      december 2028
      Place
      S'-GRAVENHAGE
      Description
      Lid onderzoeksadviescommissie

      Year
      2025
      Course Code
      FEB62010

      Year
      2025
      Course Code
      FEB63017

      Year
      2025
      Course Code
      FEM21024

      Level
      Master
      Year Level
      Master
      Year
      2025
      Course Code
      TIF20795

      Level
      Master
      Year Level
      Master
      Year
      2025
      Course Code
      TIF20796

      ÃÀÅ®¸£ÀûµçÓ°ÔºÎçÒ¹ regarding prof.dr. D (Dennis) Fok

      AI gebruiken om wetenschappelijke data te genereren zonder gevoelige informatie bloot te geven

      Een nieuwe studie van wetenschappers van Erasmus School of Economics onderzoekt hoe AI realistische synthetische data kan genereren.
      Markus Mueller, Kathrin Gruber, and Dennis Fok

      Vergelijk @count opleiding

      • @title

        • Tijdsduur: @duration
      Vergelijk opleidingen