Lehrveranstaltungen
- Asymptotic Theory (C. Jentsch, M. Faymonville)
- Seminar: Resampling Methods (C. Jentsch, A. Fioravanti)
- Statistical Network Analysis (J. Floßdorf, L. Wilmes, C. Jentsch)
- Statistical Theory (C. Jentsch, D. Dzikowski)
- Natural Language Processing (J. Rieger, K.-R. Lange)
- Wahrscheinlichkeitstheorie (T. Ziebach)
- Advanced Text Mining Methods (C. Jentsch, K.-R. Lange)
- Bootstrap methods (C. Jentsch, M. Faymonville)
- Data Mining Cup (J. Rieger)
- Time Series Analysis (A. Fioravanti)
- Asymptotic Theory (C. Jentsch)
- Seminar: Time Series Econometrics (M. Demetrescu, C. Jentsch, P. Navas)
- Statistical Theory (C. Jentsch, D. Dzikowski)
- Stochastische Prozesse (T. Ziebach)
- Text as Data (J. Rieger, K.-R. Lange, Passwort: "AttentionIsAllYouNeed")
- Econometrics, Moodle (C. Jentsch, M. Faymonville)
- Time Series Analysis (C. Jentsch, D. Dzikowski)
- Entscheidungstheorie (Th. Ziebach, F. Schmidt)
- Wahrscheinlichkeitsrechnung (Th. Ziebach, C. Meschede)
- Data Mining Cup (M. Lang, J. Rieger, S. Maletz)
- Statistical Theory - Probability Theory (C. Jentsch, D. Dzikowski)
- Asymptotic Theory (C. Jentsch, K.-R. Lange)
- Vektor- und Matrizenrechnung (Th. Ziebach, M. Faymonville)
- Statistical Network Analysis (C. Jentsch, J. Floßdorf)
- Text as Data (J. Rieger, K.-R. Lange)
- Seminar: Advanced Text Mining Methods (C. Jentsch, K.-R. Lange)
- Econometrics (C. Jentsch, M. Faymonville)
- Entscheidungstheorie (Th. Ziebach, K.-R. Lange)
- Optimalität bei Schätzern und Tests (Th. Ziebach, J. Steinmetz)
- Seminar: Resampling Methods (C. Jentsch)
- Data Mining Cup (M. Lang, J. Rieger, S. Maletz)
- Blockkurs: Einführung in LaTeX (J. Rieger)
- Blockkurs: Python (N. Benner)
- Statistical Theory – Probability Theory (C. Jentsch, J. Steinmetz)
- Asymptotic Theory (C. Jentsch, K.-R. Lange)
- Bootstrap Methods (C. Jentsch, M. Faymonville)
- Schätzen und Testen (Th. Ziebach, S. Pappert, J. Rieger)
- Seminar: Time Series Econometrics (C. Jentsch)
- Blockkurs: Python (N. Benner)
- Econometrics (C. Walsh, M. Faymonville)
- Bayesian Econometrics (J. Prüser, N. Benner)
- Seminar: Bayesian Econometrics (J. Prüser)
- Data Mining Cup (M. Lang, D. Horn, J. Rieger)
- Blockkurs: Einführung in LaTeX (J. Rieger)
- Nichtparametrische Verfahren (Th. Ziebach, J. Rieger)
- Statistical Theory - Probability Theory (C. Jentsch, J. Steinmetz)
- Statistical Theory - Asymptotic Theory (C. Jentsch, S. Hossain)
- Financial Econometrics (C. Jentsch)
- Julia-Kurs (S. Hossain)
- Seminar: Text Data meets Econometrics (C. Jentsch, J. Rieger, N. Benner)
- Vorkurs Mathematik und Statistik für Masterstudierende der Wirtschaftswissenschaften (J. Steinmetz, J. Prüser)
- Entscheidungstheorie - Statistik VI (Th. Ziebach, J. Rieger, J. Floßdorf)
- Time Series Analysis (C. Jentsch, C. Walsh)
- Econometrics of treatment effects and policy evaluation (C. Jentsch, T. Hossain)
- Seminar: Resamplingverfahren (C. Jentsch)
- Data Mining Cup (M. Lang, D. Horn, J. Rieger)
- Blockkurs: Einführung in LaTeX (J. Rieger)
- Wahrscheinlichkeitstheorie - Statistik V (Th. Ziebach, J. Rieger)
- Statistical Theory - Probability Theory (C. Jentsch, J. Steinmetz)
- Statistical Theory - Asymptotic Theory (C. Jentsch, S. Hossain)
- Netzwerkanalyse (C. Jentsch, L. Reichmann)
- Julia-Kurs (S. Hossain)
- Seminar: Zeitreihenökonometrie (C. Jentsch)
- Ökonometrie (C. Jentsch)
- Bootstrapverfahren (C. Jentsch)
- Lineare Modelle (Th. Ziebach)
- Seminar: Textdatenanalyse (C. Jentsch, J. Rieger)
- Data Mining Cup (M. Lang, D. Horn, J. Rieger)
- Blockkurs: Einführung in LaTeX (J. Rieger)
- Seminar: Treatment Effect Models (C. Jentsch, S. Hossain)
- Fallstudien I (C. Jentsch)
- Risikotheorie in der Versicherungsmathematik (Th. Ziebach)
- Statistik VI: Entscheidungstheorie (Th. Ziebach)
- Ökonometrie (C. Jentsch)
- Seminar: Zeitreihenökonometrie (C. Jentsch)