Location & approach

By car

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).

By train and bus

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

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.

By plane

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.

Plan of site & 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".

> Go to interactive map

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Location & approach

By car

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).

By train and bus

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

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.

By plane

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.

Plan of site & 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".

> Go to interactive map

ServicePortal UniMail

Doctoral Student

M.Sc. Maxime Faymonville

Contact

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

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

Portrait photo of Maxime Faymonville

Short CV

since January 2023: Study Coordinator of the Department of Statistics
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

Research Interests

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

Software

spINAR (github)

Publications

Weiß, C.H., Aleksandrov, B., Faymonville, M. and Jentsch, C. (2023): Partial Autocorrelation Diagnostics for Count Time Series. Entropy 2023, 25(1), 105. DOI.
Aleksandrov, B., Weiß, C.H., Jentsch, C. and Faymonville, M. (2022). Novel Goodness-of-Fit Tests for Binomial Count Time Series. Statistics, 56(5), 957-990. DOI.
Faymonville, M., Jentsch, C., Weiß, C.H. und Aleksandrov, B. (2022). Semiparametric Estimation of INAR Models using Roughness Penalization. Statistical Methods & Applications 32(2), 365-400. DOI.

Recent Submissions

Faymonville, M., Riffo, J., Rieger, J. and Jentsch, C. (2023). spINAR: An R Package for Semiparametric and Parametric Estimation and Bootstrapping of Integer-Valued Autoregressive (INAR) Models.
Aleksandrov, B., Weiß, C.H., Nik, S., Faymonville, M. and Jentsch, C.: Modelling and Diagnostic Tests for Poisson and Negative-binomial Count Time Series.

Talks

Goodness-of-fit testing for INAR models. CFE 2023. Berlin, Germany (12/2023).
Goodness-of-fit testing for INAR models. Kolloquium der Fächergruppe Mathematik und Statistik. Hamburg, Germany (10/2023).
Predictive inference for count data time series. Statistische Woche 2023. Dortmund, Germany (09/2023).
Joint semiparametric INAR bootstrap inference for model coefficients and innovation parameters. GPSD 2023. Essen, Germany (03/2023).
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).

Teaching

Econometrics (SuSe 2023)
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)