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Statistical Methods for Big Data
Department of Statistics
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Talks

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.

  • An international degree program is accredited - what's next? A field report on the successful operation of the new Master's programme "Data Science", Lecture Series Internationalization TU Dortmund University, 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, September 10, 2021, Naples, Italy.

  • How to Predict the European Soccer Champion with Statistics, SchnupperUni, August 10, 2021, Dortmund, Germany.

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

  • Predicting the European Football Championship with Statistics, Virtual Statistics Day, June 25, 2021, Dortmund, Germany.

  • Who will be European soccer champion? - How to calculate fun, Zwischen Brötchen und Borussia, June 12, 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", September 18, 2020, Brescia, Italy.

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

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

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

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

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

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

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

  • Modeling and prediction of international soccer tournaments, Dortmund Day of Statistics,5th February 2019, TU Dortmund University, Germany.

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

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

  • Statistical Modeling of Soccer Matches, Open Day,10th November 2018, TU Dortmund University, Germany.

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

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

  • When trees predict the World Cup ..., EinsteinSlam -Physics in 10 minutes! Domicil, September20th, 2018, Dortmund, Germany.

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

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

  • Will Andrés Iniesta lead Spain to the title? Science Slam, TU Dortmund University, July5th, 2018, Dortmund, Germany.

  • Modeling 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, June 22nd 2018, Scalable Capital, Munich, Germany.

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

  • Predicting Matches in International Football Tournaments with Random Forests, SEPS Research / Quantitative Methods Seminar, University of St. Gallen, April19th, 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, November 16th, 2017, Brescia, Italy.

  • Selection of Effects in Cox Frailty Models by Regularization Methods, Statistical Week 2017, September 19-22, 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, July 26-28, 2017, Padua, Italy.

  • The Statistical View on Randomness - An Excursion, Beta Context Series on General Phenomena, May6th, 2017, Berlin, Germany.

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

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

  • Modeling Football Results Using Match-specific Covariates, Munich Datageeks Data Day, October 8th 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, June 11-14, 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, January 16-17, 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, September 19-21, 2013, Istanbul, Turkey.

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

  • Estimation of Stochastic Employment and Unemployment Intensities, DAGStat, March 18-23, 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, July 22-23, 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, June 3-5, 2009, Merseburg, Germany.

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