Statistik: mehr als Erbsen zählen

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M.Sc. Maxime Faymonville

Wirtschafts- und Sozialstatistik


Room 4
+49 231 755 - 5203
+49 231 755 - 5284
Fakultät Statistik
Technische Universität Dortmund
44221 Dortmund

Office Hours:

By appointment

Short CV:

  • 2015-2018: B.Sc. Statistics, TU Dortmund University
  • 2018-2020: M.Sc.  Statistics, TU Dortmund University, Master thesis: Bootstrap-based prediction for INAR processes
  • 2018-2020: Student Assistant and Research Assistant respectively at the chair for Business and Social Statistics
  • Since January 2021: Research Associate at the chair for Business and Social Statistics


Model diagnostics for count data time series

Recent Submissions

  • Faymonville, M., Jentsch, C., Weiß, C. H., and Aleksandrov, B.: Semiparametric Estimation of INAR Models using Roughness Penalization
  • Aleksandrov, B., Weiß, C.H., Jentsch, C., and Faymonville, M.: Novel Goodness-of-Fit Tests for Binomial Count Time Series.
  • Aleksandrov, B., Weiß, C. H., Nik, S., Faymonville, M. and Jentsch, C.: Modelling and Diagnostic Tests for Poisson and Negative-binomial Count Time Series


  • Analysis I Tutorium für Statistiker (WS 16/17)
  • Analysis II Tutorium für Statistiker (SS 17)
  • Analysis I Tutorium für Statistiker (WS 17/18)
  • Lineare Modelle (SS 19)
  • Financial Econometrics (WS 20/21)
  • Econometrics (SS 21)
  • Bootstrap Methods (WS 21/22)
  • Econometrics (SS 22)