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Doctoral Student

M.Sc. Maxime Faymonville


TU Dortmund University
Department of Statistics
Chair of Business and Social Statistics
CDI Building, Room 4
44221 Dortmund

E-Mail: faymonvillestatistik.tu-dortmundde
Phone: +49 231 755 5203

Portrait photo of Maxime Faymonville © Felix Schmale​/​TU Dortmund
  • since January 2021: Research Associate and Doctoral Student at the Chair of Business and Social Statistics
  • 2018-2020: Student and Research Assistant at the Chair of Business and Social Statistics
  • 2018-2020: M.Sc. Statistics with minor in Econometrics, TU Dortmund University
    Master Thesis: Bootstrap-based prediction for INAR processes
  • 2015-2018: B.Sc. Statistics with minor in Econometrics, TU Dortmund University

Contributing to the DFG project Model diagnostics for count time series (research grant JE932/1-1, project number 437270842)

  • Count Data Time Series
  • Bootstrap Methods
  • Semiparametric Estimation
  • Faymonville, M., Jentsch, C., Weiß, C.H. and Aleksandrov, B. (2022). Semiparametric Estimation of INAR Models using Roughness Penalization. Accepted for: Statistical Methods & Applications.

Recent Submissions

  • 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.
  • Joint semiparametric INAR bootstrap inference for model coefficients and innovation parameters. CFE 2022. London, Great Britain (12/2022).
  • Joint semiparametric INAR bootstrap inference for model coefficients and innovation parameters. Statistische Woche 2022. Münster, Germany (09/2022).
  • Semiparametric estimation of INAR models using roughness penalization. DAGStat 2022. Hamburg, Germany (03/2022).
  • Vector and Matrix Calculus (WiSe 2022/23)
  • Econometrics (SuSe 2022)
  • Bootstrap Methods (WiSe 2021/22)
  • Econometrics (SuSe 2021)
  • Financial Econometrics (WiSe 2020/21)
  • Linear Models (SuSe 2019)
  • Analysis I Tutorial for Statisticians (WiSe 2017/18)
  • Analysis II Tutorial for Statisticians (SuSe 2017)
  • Analysis I Tutorial for Statisticians (WiSe 2016/17)

Location & approach

The campus of TU Dort­mund Uni­ver­sity is located close to interstate junction Dort­mund West, where the Sauerlandlinie A45 (Frankfurt-Dort­mund) crosses the Ruhrschnellweg B1 / A40. The best interstate exit to take from A45 is “Dort­mund-Eichlinghofen” (closer to South Cam­pus), and from B1 / A40 “Dort­mund-Dorstfeld” (closer to North Cam­pus). Signs for the uni­ver­si­ty are located at both exits. Also, there is a new exit before you pass over the B1-bridge leading into Dort­mund.

For travelling to the Department of Statistics, convenient parking places can be found at Vogelpothsweg (Gates 21 / 24) or alternatively at the Otto-Hahn-Straße (Gates 28 / 30 / 35).

TU Dort­mund Uni­ver­sity has its own train station (“Dort­mund Uni­ver­si­tät”). From there, suburban trains (S-Bahn) leave for Dort­mund main station (“Dort­mund Hauptbahnhof”) and Düsseldorf main station via the “Düsseldorf Airport Train Station” (take S-Bahn number 1, which leaves every 15 or 30 minutes). The uni­ver­si­ty is easily reached from Bo­chum, Essen, Mülheim an der Ruhr and Duis­burg.

You can also take the bus or subway train from Dort­mund city to the uni­ver­si­ty: From Dort­mund main station, you can take any train bound for the Station “Stadtgarten”, usually lines U41, U45, U 47 and U49. At “Stadtgarten” you switch trains and get on line U42 towards “Hombruch”. Look out for the Station “An der Palmweide”. From the bus stop just across the road, busses bound for TU Dort­mund Uni­ver­sity leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dort­mund main station to the stop “Dort­mund Kampstraße”. From there, take U43 or U44 to the stop “Dort­mund Wittener Straße”. Switch to bus line 447 and get off at “Dort­mund Uni­ver­si­tät S”.

The H-Bahn is one of the hallmarks of TU Dort­mund Uni­ver­sity. There are two stations on North Cam­pus. One (“Dort­mund Uni­ver­si­tät S”) is directly located at the suburban train stop, which connects the uni­ver­si­ty directly with the city of Dort­mund and the rest of the Ruhr Area. Also from this station, there are connections to the “Technologiepark” and (via South Cam­pus) Eichlinghofen. The other station is located at the dining hall at North Cam­pus and offers a direct connection to South Cam­pus every five minutes.

The AirportExpress is a fast and convenient means of transport from Dort­mund Airport (DTM) to Dort­mund Central Station, taking you there in little more than 20 minutes. From Dort­mund Central Station, you can continue to the uni­ver­si­ty campus by interurban railway (S-Bahn). A larger range of in­ter­na­tio­nal flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the uni­ver­si­ty station.

Interactive map

The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent "Technologiepark".

Campus Lageplan Zum Lageplan