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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, ÌÇÐÄÖ±²¥. 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

  • Dennis Fok & Richard Paap (2025) - - Journal of Choice Modelling, 54 - doi: -
  • Annika Camehl, Dennis Fok & Kathrin Gruber (2024) - - Journal of Econometrics - doi:
  • 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:
  • W Li, Dennis Fok & Philip Hans Franses (2019) - -

      • 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 Quantitave Intelligence

      Start date approval
      november 2022
      End date approval
      november 2025
      Place
      ROTTERDAM
      Description
      Research and teaching

      Autoriteit Consument en Markt

      Start date approval
      september 2024
      End date approval
      december 2025
      Place
      S'-GRAVENHAGE
      Description
      Lid onderzoeksadviescommissie

      • Carlos Hernandez Mireles

        Marketing Modeling for New Products
      • Yuri Peers

        Econometric Advances in Diffusion Models
      • Evsen Korkmaz

        Bridging Models and Business: Understanding heterogeneity in hidden drivers of customer purchase behavior
      • Baris Depecik

        Revitalizing Brand and Brand Portfolios: Essays on Brand and Brand Portfolio Management Strategies
      • Pieter Schoonees

        Methods for Modelling Response Styles
      • Wei Li

        Competition in the Retail Market of Consumer Packaged Goods
      • Bruno Jacobs

        Marketing Analytics for High-Dimensional Assortments
      • Gertjan van den Burg

        Algorithms for Multiclass Classification and Regularized Regression
      • Thai Young Kim

        Data-driven Warehouse Management in Global Supply Chains
      • Luuk van Maasakkers

        Marketing modelling for large-scale assortments
      • Anoek Castelein

        Advanced individual response models
      • Xun Gong

        forecasting implied volatility surface
      • Kars Iddo Maik Schouten

        Semantics-Driven Aspect-Based Sentiment Analysis
      • Eric Slob

        Integrating Genetics into Economics

      News 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

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