Department of Statistics
print

Language Selection

Breadcrumb Navigation


Content

Program Previous Terms

Program Summer Term 2022:

TopicDateSpeaker
Instrumental Variable Approaches To Individualized Treatment Regimes Under A Counterfactual World Tuesday, 05/03/2022,
14.00 c.t.
Yifan Cui
National University of Singapore
Detecting parameter heterogeneity in psychometric models by means of model-based recursive partitioning with psychotree, stablelearner & co.            Wednesday, 05/04/2022,
17.30 s.t.                                                        
Carolin Strobl
University of Zurich
Surprises in topic model estimation and new Wasserstein document-distance calculations Wednesday, 05/11/2022,
16.00 c.t.
Florentina Bunea
Cornell University, Ithaca, New York
Data 4 Policy: Towards a Data Culture Wednesday, 05/18/2022,
16.00 c.t.     
(Geschw.-Scholl-Pl. 1, B 201)

Meeting-ID: 942-6899-3687
Password: 630870

https://lmu-munich.zoom.us
/j/94268993687?pwd=TzRON09
qYXhWTWtRT3ZySzRPR0ZWQT09
 
Walter J. Radermacher
Department of Statistics, LMU
Uncertainty, Networks and Statistical Modelling Wednesday, 06/01/2022,
16.00 c.t.
Working group presentation:
Chair of Applied Statistics in Social Sciences, Economics and Business
(Göran Kauermann)      
On the Difficulty of Epistemic Uncertainty Quantification in Machine Learning: The Case of Direct Uncertainty Estimation through Loss Minimization Wednesday, 06/08/2022,
16.00 c.t.
Viktor Bengs
Department of Statistics, LMU
Knowledge Cascade: Reverse Knowledge Distillation Tuesday, 06/14/2022,
15.00 s.t.
Ping Ma
University of Georgia
Does Rising Inequality Reduce Social Cohesion? New Results Using Hybrid Multilevel Regression Models and Four Decades of Repeated Surveys in 32 Countries Wednesday, 06/15/2022,
16.00 c.t. (online only)

https://lmu-munich.zoom.us
/j/3744147750?pwd=MWpsW
X
JnQTZVSitMaHByZSt3SmNkZz09

Markus Gangl
Goethe University Frankfurt
State space models as a flexible framework for monitoring epidemics Thursday, 06/23/2022,
16.00 c.t.
Stefan Heyder, Thomas Hotz
Technische Universität Ilmenau
Predicting macroeconomic indicators from online activity data: a case study Wednesday, 06/29/2022,
16.00 c.t.
Maria Eduarda Silva
University of Porto
Some Ideas for Causal Inference with Continuous Multiple Time Point Interventions             Wednesday, 07/06/2022,
16.00 c.t.
Michael Schomaker
Department of Statistics, LMU
Functional data methods for wearable device data Tuesday, 07/12/2022,
17.30 s.t.
Jeff Goldsmith
Columbia University, New York
Combining experimental and population data to estimate population treatment effects Wednesday, 07/13/2022,
16.00 s.t. (online only)
Elizabeth Stuart
Johns Hopkins Bloomberg School
of Public Health, Baltimore 
On vine copulas and uncertainty                         Wednesday, 07/20/2022,
17.00 c.t.
Thomas Nagler
Department of Statistics, LMU

Program Winter Term 2021/22:

TopicDateSpeaker
A marked Hawkes process for modeling and detecting fake news on social media Wednesday, 10/20/2021,
16.00 c.t.
Stefan Feuerriegel
Munich School of Management, LMU               
Testing Probabilistic Oracles Wednesday, 11/03/2021,
16.00 c.t. (online only)
Timo von Oertzen
Universität der Bundeswehr München
How To Develop Data Science Products at Scale Thursday, 11/04/2021,
11.00 s.t. (online only)
René Traue, Christian Lindenlaub
GfK, Nuremberg
Learning from Weakly Structured Information
(Slides)
Wednesday, 12/01/2021,
16.00 c.t. (online only)
Working group presentation:
Foundations of Statistics and their Applications
(Thomas Augustin)
Science of Data - or what we think about when we worry about data quality Wednesday, 01/12/2022,
16.00 c.t. (online only)
Working group presentation:
Statistics and Data Science in Social Sciences and the Humanities
(Frauke Kreuter)
Measurement error in social research Wednesday, 01/19/2022,
16.00 c.t. (online only)
Daniel L. Oberski
Utrecht University
The Statistical Consulting Unit StaBLab at LMU - Selected Examples of Current Research Projects Wednesday, 01/26/2022,
16.00 c.t. (online only)
Working group presentation:
Statistical Consulting Unit (StaBLab)
(Helmut Küchenhoff)
The Statistical Learning and Data Science Group - Selected Topics from Research and Applications Wednesday, 02/02/2022,
16.00 c.t. (online only)
Working group presentation:
Statistical Learning and Data Science
(Bernd Bischl)
The Working Group on Methods for Missing Data, Model Selection and Model Averaging - Research Topics and Applications Wednesday, 02/09/2022,
16.00 c.t. (online only)
Working group presentation:
Methods for Missing Data, Model Selection and Model Averaging
(Christian Heumann)

Program Summer Term 2021:

TopicDateSpeaker
scikit-fda: Functional Data Analysis in Python Wednesday, 04/14/2021,    
16.00 c.t.
Carlos Ramos Carreño
Universidad Autónoma de Madrid     
One year of daily tracking: Partnering with a global platform to inform research and public policy making on COVID-19 Wednesday, 04/21/2021,
17.30
Frauke Kreuter
Department of Statistics, LMU
Can We Open the Black Box of Deep Neural Networks? - An Information Theoretic Approach to Validate Deep Learning-Based Algorithms
(Slides)
Wednesday, 05/19/2021,
15.00 s.t.
Gitta Kutyniok
Department of Mathematics, LMU
The Importance of Spillovers Wednesday, 06/23/2021,
16.00 c.t.
Dirk Baur
The University of Western Australia, Perth
Fairness in AI (automated) Decision Making Wednesday, 06/30/2021,
16.00 c.t.
Frauke Kreuter, Christoph Kern
Department of Statistics, LMU;
University of Mannheim
Analyzing and Learning from Ranking Data: New Problems and Challenges Wednesday, 07/14/2021,
16.00 c.t.
Eyke Hüllermeier
Institute of Informatics, LMU
Accounting for reporting uncertainty, new variants and vaccinations when estimating the effects of non-pharmaceutical interventions for COVID-19 in 15 European countries Wednesday, 07/21/2021;
16.00 c.t.
Sabine Hoffmann
IBE, LMU
Statistics in open replicable science, and open replicable statistical science Wednesday, 09/22/2021,
16.00 c.t.
Anne-Laure Boulesteix
IBE, LMU

Program Winter Term 2020/21:

TopicDateSpeaker
Multiaccurate Predictors Under Distributional Shifts Wednesday, 11/18/2020,
16.00 c.t.
Christoph Kern
Department of Statistics, LMU            
Beyond traditional assumptions in fair machine learning
(Slides)
Wednesday, 12/09/2020,
16.00 c.t.
Niki Kilbertus
HelmholtzAI, Munich
Heterogeneity of Beliefs and Information Rigidity in the Crude Oil Market: Evidence from Survey Data Wednesday, 12/16/2020,
16.00 c.t.
Robert Czudaj
Department of Statistics, LMU
Flexible domain prediction of continuous and count outcomes using unit level quantile random effects regression Wednesday, 01/13/2021,
16.00 c.t.
Timo Schmid
Freie Universität Berlin                   
Testing relevant hypotheses in functional time series via self-normalization Wednesday, 02/03/2021,
16.00 s.t.
Holger Dette
Ruhr-Universität Bochum

Program Summer Term 2020:

TopicDateSpeaker
Integrating Probability and Nonprobability Surveys: A Bayesian Approach Wednesday, 06/03/2020,
16.00 c.t.
Joseph Sakshaug
Department of Statistics, LMU;
IAB Nuremberg
Lower bound for true incidence of infections based on official case numbers during a COVID outbreak in Germany 2020 Wednesday, 06/17/2020,
16.00 s.t.
Ralph Brinks, Annika Hoyer
Department of Statistics, LMU
Analysis of the COVID-19 Pandemic in Germany Wednesday, 07/08/2020,
16.00 c.t.
COVID-19 Data Analysis Group@LMU
A meta-analysis of individual, aggregated and incomplete aggregated data Wednesday, 07/29/2020,
16.00 s.t.
Reinhard Vonthein
Department of Statistics, LMU

Program Winter Term 2019/20:

TopicDateSpeaker
Regression and graphical model learning for compositional data - with applications to microbiome data Wednesday, 11/06/2019,   
16.00 s.t.                                   
(Schellingstr. 3, S 006)
Christian Müller
Department of Statistics, LMU
Maschinelles Lernen und amtliche Statistik? Wednesday, 11/20/2019,
16.00 s.t.
Florian Dumpert        
Federal Statistical Office, Wiesbaden                          
Approaches for sharing information between heterogeneous patient subgroups in sparse Cox models Wednesday, 11/27/2019,
16.00 s.t.
Katrin Madjar
Department of Statistics, LMU
On the degrees of freedom of a smoothing parameter Wednesday, 12/04/2019,
16.00 s.t.
Benjamin Säfken
Department of Statistics, LMU
Score matching for graphical models Wednesday, 12/18/2019,
16.00 s.t.
Mathias Drton
Technical University of Munich
Bringing Research Design Back In Wednesday, 01/08/2020,
16.00 c.t.
(Konradstr. 6, Room 309)
Ulrich Kohler
University of Potsdam
Artificial Intelligence and Data Science in Earth Observation Wednesday, 01/15/2020,
16.00 s.t.
Xiaoxiang Zhu
German Aerospace Center (DLR)
Statistical and Computational Challenges in Probabilistic Ensemble Forecasting for Infectious Disease Wednesday, 01/22/2020,
16.00 s.t.
Nicholas G. Reich
University of Massachusetts, Amherst
mlr3 - A new framework for machine learning with R Wednesday, 01/29/2020,
16.00 c.t.
Michel Lang
Department of Statistics, LMU
Semi-Structured Deep Distributional Learning Wednesday, 02/26/2020,
16.00 s.t.
David Rügamer
Department of Statistics, LMU

Program Summer Term 2019:

Immigration and Support for the Welfare State: How to Do Replication in the Social Sciences? Wednesday, 05/08/2019,   
16.00 c.t.
(Schellingstr. 3, S 006) Katrin Auspurg, Josef Brüderl        
Department of Sociology, LMU                            

TopicDateSpeaker
Online data challenges, disrupters and facilitators for grant-based clinical risk prediction research Wednesday, 05/22/2019,
16.00 s.t.
Donna Ankerst
Technical University of Munich
New approaches for the modeling of competing risks in discrete time Wednesday, 06/12/2019,
16.00 s.t.
Moritz Berger
Department of Statistics, LMU
Matrix-Free Algorithms for Smoothing Large Data Sets Wednesday, 06/19/2019,
16.00 s.t.
Julian Wagner
Department of Statistics, LMU
Bayesian modelling of treatment effects on panel outcomes Monday,
06/24/2019,

14.30 s.t.
Helga Wagner
Johannes Kepler University Linz
Aktuelle Probleme der Kalibrierung und kohärenten Schätzung Wednesday, 07/03/2019,
16.00 c.t.
(Geschw.-Scholl-Pl. 1, M 001)
Ralf Münnich
University of Trier
Learning good research practices the hard way: a reproducibility study in the class room Wednesday, 07/10/2019,
16.00 s.t.
Heidi Seibold
Department of Statistics, LMU
Kaggle-in-class Data Challenges Can Boost Student Learning Wednesday, 07/17/2019,
16.00 s.t.
Julia Polak
University of Melbourne
Overview of Masters Research (Analytics Application to the Insurability of Chronic Conditions) Thursday, 07/18/2019,
16.00 s.t.
Lee Sarkin
Munich Re Data Analytics, Singapore

Program Winter Term 18/19:

TopicDateSpeaker
A semi-parametric model for the meta-analysis of diagnostic tests accounting for multiple thresholds Wednesday, 11/07/2018,
16.00 s.t.                                  
Annika Hoyer
Department of Statistics, LMU
Spatial Conditional Overdispersed Bayesian Model Proposals Wednesday, 11/28/2018,
16.00 s.t.
Vicente A. Núñez-Anton
Universidad del País Vasco, Bilbao
Linear Discriminant Analysis with High-dimensional Spatial Data Monday, 12/17/2018,
11.00 s.t.
Taps Maiti
Michigan State University
Artificial Intelligence in Healthcare Tuesday, 01/15/2019,
14.00 s.t.
Aldo Faisal
Imperial College London
Statistical Postprocessing of Numerical Weather Predictions Wednesday, 01/23/2019,
16.00 s.t.
Thorsten Simon
Universität Innsbruck
Multi-state models in chronic disease epidemiology Wednesday, 01/30/2019,
16.00 s.t.
Ralph Brinks
Deutsches Diabetes-Zentrum, University of Düsseldorf
A relational approach in classification, subgroup discovery and statistical data analysis Wednesday, 02/13/2019,
16.00 s.t.
Georg Schollmeyer
Department of Statistics, LMU
Streaming data from a smartphone application: a new approach using mHealth and data-driven analyses to map health during travel during travel Wednesday, 03/13/2019,
09.00 s.t.
Andrea Farnham
Swiss Tropical and Public Health Institute, Basel

Program Summer Term 2018:

TopicDateSpeaker
Superstar Economists: Coauthorship networks and research output Wednesday, 04/18/2018,
16.00 s.t.                                                             
Michael König
University of Zurich
Kernel-based short-term forecasting of trending seasonal time series Wednesday, 05/02/2018,
16.00 s.t.
Joachim Schnurbus
(Vertretungsprofessur Institut für Statistik, LMU)
Parameter estimation from coarse data: on different theoretical assumptions and their practical implications Monday, 05/07/2018,
14.00 s.t.
Inés Couso
Universidad de Oviedo
Sequential detection of structural changes in irregularly observed data Wednesday, 05/09/2018,
17.20 s.t.
Tobias Kley
HU Berlin
Forecasting infectious disease epidemics via weighted density ensembles Monday, 05/14/2018 ,
16.00 s.t.
Nicholas Reich
Department of Biostatistics and Epidemiology at the University of Massachusetts Amherst
Tree-Based Conditional Portfolio Sorts: The Relation Between Past and Future Stock Returns Wednesday, 05/23/2018,
16.00 s.t.
Benjamin Moritz Institut für Statistik, LMU
Surveys, "Big Data", and Machine Learning: Bringing Methods together to Solve Difficult Problems at Scale Wednesday, 06/13/2018,
17.00 s.t.
Curtiss Cobb
Survey Scientist and Manager, Demography and Survey Science Group, Facebook
A Multilayer ERGM framework for weighted networks Friday, 06/22/2018 ,
16.00 s.t.
Alberto Caimo
Dublin Institute of Technology, Ireland
Statistical Inference for Discretely Observed Markov Processes, With Application to Credit Rating Transitions Wednesday, 07/11/2018,
16.00 s.t.
Marius Pfeuffer
Universität Erlangen-Nürnberg

Program Winter Term 17/18:

TopicDateSpeaker
Statistische Modelle bei der Analyse von sensorischen Daten am Beispiel Ebergeruch Wednesday, 09/21/2017,
16.00 s.t.                                                                            
Jan Gertheiss
(Technische Universität Clausthal)
Reproducibility of Statistical Tests Wednesday, 11/07/2017,
10.15
Frank Coolen
(Durham University)
The Deep Forest and its Modifications
(slides)
Wednesday, 11/08/2017,
10.15 (Alte Bibliothek)
Lev Utkin
(Peter the Great St. Petersburg Polytechnic University)
Adaptive Smoothing with an Application to Nonlinear Panel Data and the Incidental Parameter Problem Wednesday, 11/08/2017,
16.00 s.t.
Martin Spindler
(Universität Hamburg)
Kontrollkarten zur Detektion abrupter Änderungen in Signalen mit zeitabhängigem Trend Wednesday, 12/06/2017,
16.00 s.t.
Sermad Abbas
(TU Dortmund)
Antrittsvorlesung Wednesday, 01/10/2018,
16.00 s.t.
( Professor-Huber-Platz 2, V005 )
Moritz Grosse-Wentrup
(LMU Munich)
Die Statistik(abteilung) der Bundesagentur für Arbeit: Das unbekannte Wesen? Wednesday, 01/15/2018,
10.15 (Seminarraum)
Rainer Hahn
(Stellvertretender Leiter der Statistik der Bundesagentur für Arbeit)
Model-Based Recursive Partitioning for Stratified and Personalised Medicine Wednesday, 01/17/2018,
16.00 s.t.
Heidi Seibold
(Universität Zürich)
Gaussian Process Emulation of Computer Models with Massive Output Wednesday, 01/31/2018,
16.00 s.t.
Jim Berger
Duke University, USA
Cost Risk Analysis: Dynamically Consistent Decision-Making under Climate Targets Monday, 02/19/2018,
16.30 s.t.
Hermann Held
Center for Earth System Research and Sustainability, Uni Hamburg und vom Postdam-Institut für Klimafolgenforschung

Program Summer Term 2017:

TopicDateSpeaker
The R package "hmi" - a convenient tool for imputing missing values in hierarchical datasets Wednesday, 04/19/2017,
16.00 s.t.                               
Matthias Speidel
(Institute for Employment Research, Nuremberg)
An introduction to boosting distributional regression Wednesday, 05/10/2017,
16.30 s.t.
Andreas Mayr
(Vetretungsprofessur Institut für Statistik, LMU)
Joint Modelling of Longitundinal and Time-to-Event Data - From classical approaches to machine learning Wednesday, 05/31/2017,
16.00 s.t.
Elisabeth Waldmann
(Friedrich-Alexander-Universität, Erlangen-Nürnberg)
Robust Bayesian Analysis of Linear Static Panel Data Models Using Epsilon-contamination Wednesday, 06/28/2017,
16.00 s.t.
Anoop Chaturvedi
(University of Allahabad, India)

Program Winter Term 16/17:

TopicDateSpeaker
Fusion Learning: Fusing Inferences from Multiple Sources for More Powerful Findings   (84 KByte) Wednesday, 11/23/2016,
16.00 s.t.
Regina Liu,
Rutgers University (NJ, USA)
Selective Inference with Application to L2-Boosting   (108 KByte) Wednesday, 11/30/2016,
16.30 s.t.
David Rügamer,
LMU München
Understanding Biological Processes using Stochastic Modelling: Gaining Information from Uncertainty   (83 KByte) Wednesday, 12/07/2016,
16.00 s.t.
Christiane Fuchs,
LMU München
Assessing and Explaining Strategic Voting with Survey Data: A Finite Mixture Discrete Choice Model Wednesday, 12/21/2016,
16.00 s.t.
Martin Elff,
Zeppelin University, Friedrichshafen
(Bayesian) Regression for Big Data using Random Projections Wednesday, 01/11/2017,
16.00 s.t.
Katja Ickstadt/Leo Geppert,
TU Dortmund
Step-Stress Models Wednesday, 01/18/2017,
16.00 s.t.
Maria Kateri,
RWTH Aachen
Surfaces, shapes and anatomy   Wednesday, 01/25/2017,
16.00 s.t.
Adrian Bowman
University of Glasgow
Selection of Effects in Cox Frailty Models by Regularization Methods   Wednesday, 02/01/2017,
17.15
Schellingstr. 3, S 006
Andreas Groll
Universität Göttingen

Program Summer Term 2017:

TopicDateSpeaker
Habilitation Antrittsvortrag zum Thema A General Framework for Regression with Functional Data, with Applications              Wednesday, 04/20/2016,
17.00 Uhr s.t.
Fabian Scheipl
(Institut für Statistik)
Statistical methods for the meta-analysis of full ROC curves   Wednesday, 05/04/2016,
16.00 Uhr s.t.
Oliver Kuß
(Heinrich-Heine Universität Düsseldorf)
Consistent Estimation of Curved Exponential-Family Random Graph Models with Local Dependence and Growing Neighborhoods   Wednesday, 05/18/2016,
16.00 Uhr s.t.
Michael Schweinberger,
Rice University (USA)
Structural Equation Modeling with Onyx   Wednesday, 05/25/2016,
16.00 Uhr s.t.
Timo von Oertzen,
(Universität der Bundeswehr München)
A new method for estimating spectral clustering change points for multivariate time series   Wednesday, 06/08/2016,
16.00 Uhr s.t.
Ivor Cribben
(University of Alberta)
Who’s the Favorite? - A Bivariate Poisson Model for the UEFA European Football Championship 2016   Wednesday, 06/15/2016,
16.00 Uhr s.t.
Andreas Groll und Gunther Schauberger
Robust and nonparametric detection of change-points in time series using U-statistics and U-quantiles   Wednesday, 06/29/2016,
16.00 Uhr s.t.
Roland Fried
(TU Dortmund)
Evading the curse of dimensionality in nonparametric density estimation with simplified vine copulas   Wednesday, 07/06/2016,
17.00 Uhr s.t.
Thomas Nagler,
TUM
What’s the evidence? On P-values and Bayes factors   Wednesday, 07/20/2016,
16.00 Uhr s.t.
Leonhard Held,
University of Zurich (Schweiz)