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Statistical Methods for Big Data
Fakultät Statistik
Auf blauem Hintergrund ist mit weißen Linien ein Gehirn gezeichnet und ein Netzwerk ist aus weißen Punkten dargestellt. © Pixabay
Vorträge

Prof. Dr. Andreas Groll

  • A hybrid machine learning approach for the modeling and prediction of the UEFA EURO 2020, CMStatistics 2021, 18 December 2021, London, Great Britain.

  • Ein internationaler Studiengang ist akkreditiert – wie geht es weiter? Ein Erfahrungsbericht über den erfolgreichen Betrieb des neuen Masterstudiengangs "Data Science", Vortragsreihe Internationalisierung TU Dortmund, 01 December 2021, Dortmund, Germany.

  • Modeling and Predicting the UEFA EURO 2020 with Hybrid Machine Learning, Research Seminar – University of Naples, 30 September 2021, Naples, Italy.

  • Modeling and Predicting the UEFA EURO 2020 with Hybrid Machine Learning, 11th S-TRAINING (digital) Meeting, 10 September 2021, Naples, Italy.

  • Wie man mit Statistik den Fußball-Europameister vorhersagen kann, SchnupperUni, 10 August 2021, Dortmund, Germany.

  • A Modern Hybrid Machine Learning Approach for the Prediction of International Football Matches, Virtual ISI World Statistics Congress, 11-16 July 2021, Den Haag, Netherlands.

  • Mit Statistik die Fußball-EM vorhersagen, Virtueller Tag der Statistik, 25 June 2021, Dortmund, Germany.

  • Wer wird Fußball-Europameister? - Wie man Spaß berechnen kann, Zwischen Brötchen und Borussia, 12 June 2021, Dortmund, Germany.

  • An Overview of Modeling and Prediction Approaches for Football Data, 2nd S-TRAINING (digital) Meeting, 30 October, 2020, Dortmund, Germany.

  • Prediction methods for football data (and more) - an overview (Invited Speaker), Round Table on “Statistics in Sports”, 18 September, 2020, Brescia, Italy.

  • Interpretable Machine & Statistical Learning in (Sports) Medicine, EORS2020 Congress 2020, 17-18 September 2020, Izmir, Turkey.

  • New Methods for Statistical Learning, Dortmund Data Science Center, 16. June, 2020, Dortmund, Germany.

  • An adaptive lasso Cox frailty model for time-varying covariates based on the full likelihood, CMStatistics 2019, 14.-16. December 2019, London, Great Britain.

  • An adaptive lasso Cox frailty model for time-varying covariates based on the full likelihood, IWSM 2019, 7.-12. July 2019, Guimaraes, Portugal.

  • Prediction of the 2019 IHF World Men’s Handball Championship – A sparse Gaussian approximation model, ASMDA 2019, 11.-14. June 2019, Florence, Italy.

  • A hybrid random forest approach for modeling and prediction of international soccer matches (Invited Keynote Speaker), 51es Journées de Statistique, 3.-7. June 2019, Nancy, France.

  • Effect Selection in Cox Frailty Models by Regularization Methods, Research Seminar, 6th February 2019, Helmut-Schmidt-University Hamburg, Germany.

  • Modellierung und Vorhersage von internationalen Fußballturnieren, Dortmunder Tag der Statistik, 5th February 2019, TU Dortmund University, Germany.

  • Boosting methods for effects selection in Cox frailty models, CMStatistics 2018, 14.-16. December 2018, Pisa, Italy.

  • A hybrid random forest approach for modeling and prediction of international soccer matches, Workshop: Sports Analytics on Soccer, 12th November 2018, TU Dortmund University, Germany.

  • Statistische Modellierung von Fußballspielen, Tag der offenen Tür, 10th November 2018, TU Dortmund University, Germany.

  • A Comparison of Covariate-based Prediction Methods for FIFA World Cups, Sports, Data & Journalism Conference, 25th October 2018, Zurich, Switzerland.

  • A Comparison of Covariate-based Prediction Methods for FIFA World Cups, Zurich R User Group Meetup, 25th October 2018, Zurich, Switzerland.

  • Wenn Bäume die WM vorhersagen …, EinsteinSlam -Physik in 10 Minuten! Domicil, 20th September 2018, Dortmund, Germany.

  • Effect Selection in Cox Frailty Models by Regularization Methods (Invited Speaker), Statistische Woche 2018, 11.-14. September 2018, Linz, Austria.

  • Boosting Methods for Effects Selection in Cox Frailty Models, IWSM 2018, 16.-20. July 2018, Bristol, Great Britain.

  • Führt Andrés Iniesta Spanien zum Titel? Science Slam, TU Dortmund University, 5th July 2018, Dortmund, Germany.

  • Modelling and Predicting Matches in International Football Tournaments with Random Forests, 7th German-Japanese Symposium, 3rd July 2018, Dortmund, Germany.

  • Machine Learning Methods for the Prediction of International Football Tournaments, Tech Lunch, 22nd June 2018, Scalable Capital, Munich, Germany.

  • A Comparison of Covariate-based Prediction Methods for FIFA World Cups, SMTDA 2018, 12.-15. June 2018, Chania, Greece.

  • Predicting Matches in International Football Tournaments with Random Forests, SEPS Research / Quantitative Methods Seminar, University of St. Gallen, 19th April 2018, Switzerland.

  • Modeling and Prediction of International Soccer Matches, Mathematical Colloquium, 20th December 2017, TU Clausthal, Germany.

  • Selection of Effects in Cox Frailty Models by Regularization Methods, CMStatistics 2017, 16.-18. December 2017, London, Great Britain.

  • Modeling and Prediction of International Soccer Matches, Workshop on Big Data Analytics in Sports, 16th November 2017, Brescia, Italy.

  • Selection of Effects in Cox Frailty Models by Regularization Methods, Statistische Woche 2017, 19.-22. September 2017, Rostock, Germany.

  • LASSO-Type Penalization in the Framework of Generalized Additive Models for Location, Scale and Shape, IWSM 2017, 03.-07. July 2017, Groningen, Netherlands.

  • On the Dependency of Soccer Scores - A Sparse Bivariate Poisson Model for the UEFA European Football Championship 2016, MathSport International 2017 Conference, 26.-28. July 2017, Padua, Italy.

  • The Statistical View on Randomness - An Excursion, Beta Kontext Series on General Phenomena, 6th May, 2017, Berlin, Germany.

  • Selection of Effects in Cox Frailty Models by Regularization Methods, Institutskolloquium, Department of Statistics, LMU Munich, 1st February 2017, Germany.

  • Modeling Football Results Using Match-specific Covariates, Empirical Economics and Econometrics Seminar, University of Innsbruck, 24th November 2016, Austria.

  • Modeling Football Results Using Match-specific Covariates, Munich Datageeks Data Day, 8th October 2016, Munich, Germany.

  • Who's the Favorite? – A Bivariate Poisson Model for the UEFA European Football Championship 2016, Institutskolloquium, Department of Statistics, LMU Munich, 15th June 2016, Germany.

  • Modeling Football Results in Penalized Ordinal Bradley-Terry Models Including Match-specific Covariates, DAGStat, 14.-18. March 2016, Göttingen, Germany.

  • Regularization in Cox Frailty Models, IWSM 2015, 06.-10. July 2015, Linz, Austria.

  • Prediction of major international soccer tournaments based on team-specific regularized Poisson regression: An application to the FIFA World Cup 2014, A Symposium on World Football Cup, 11.-12. May 2015, Athens, Greece.

  • Employment and Fertility – A Comparison of the German Family Survey 2000 and the PAIRFAM Panel, SMTDA 2014, 11.-14. June 2014, Lisbon, Portugal.

  • Prediction of the FIFA World Cup 2014 by a regularized random effects model, 4th June 2014, Institutskolloquium, Department of Statistics, LMU Munich, Germany.

  • A Consistent 2-Factor Model for Pricing Temperature Derivatives, 2014 International Conference on Commodity Markets, 16.-17. January 2014, Paris, France.

  • Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation, Economic Risk Seminar, 02.12.2013, Humboldt University of Berlin, Germany.

  • Employment and Fertility – A Comparison of the German Family Survey 2000 and the PAIRFAM Panel, y-BIS 2013, 19.-21. September 2013, Istanbul, Turkey.

  • A Study on European Football Championships in the GLMM Framework with an Emphasis on UEFA Champions League Experience, AMSDA, 25.-28. June 2013, Barcelona, Spain.

  • Estimation of Stochastic Employment and Unemployment Intensities, DAGStat, 18.-23. March 2013, Freiburg, Germany.

  • Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation, CEN, 12.-15. September 2011, Zurich, Switzerland.

  • Variable Selection for Generalized Additive Mixed Models by Likelihood-based Boosting, AMSDA, 07.-10. June 2011, Rome, Italy.

  • Ordinal Random Effects Models Including Variable Selection, BioMed-S Retreat, 22.-23. July 2010, Höhenried, Germany.

  • Variable Selection in Generalized Mixed Models, DAGStat, 23.-26. March 2010, Dortmund, Germany.

  • Generalized Additive Mixed Models Based on Boosting, DStatG Nachwuchsworkshop, 3.-5. June 2009, Merseburg, Germany.

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