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Program Summer Term 2024:

TopicDateSpeaker
Heat-related mortality in the context of climate change Donnerstag, 25.04.2024 14.15 Susanne Breitner Helmholtz Munich
Optimal convex M-estimation via score
matching
Wednesday, 15.05.2024,
17.00
Richard Samworth
Cambridge University
Provable Boolean interaction recovery from
tree ensemble obtained via random forests
Wednesday, 29.05.2024,
16.15
Merle Behr
University of Regensburg
Explainable Methods for Reinforcement Learning Monday, 03.06.2024, 16.15 Jasmina Gajcin
Trinity College Dublin
Multiverse Analysis: On the Robustness of Functional Form and Data Pre-Processing
Decisions
Wednesday, 05.06.2024,
16.15 (Department of Sociology, room 309)
Cristobal Young
Cornell University
Resampling-based inference for the average
treatment effect in observational studies with
competing risks
Wednesday, 19.06.2024,
16.15
Sarah Friedrich
University of Augsburg
The Complexities of Differential Privacy for Survey Data Wednesday, 26.06.2024, 16.15 Jörg Drechsler LMU
On extreme value copulas Monday, 01.07.2024,
16.15
Berwin Turlach
University of Western Australia
Can today’s intention to treat have a causal
effect on tomorrow’s hazard function?
Wednesday, 03.07.2024,
16.15
Jan Beyersmann
University of Ulm
Variational Learning for Large Deep Networks Wednesday, 10.07.2024, 15.15 Thomas Möllenhoff
Privacy, Data Privacy, and Differential Privacy Tuesday, 16.07.2024, 11.00 James Bailie

Program Winter Term 23/24:

TopicDateSpeaker
Variational Inference for Cutting Feedback in Misspecified Models Friday, 11/03/2023,
13.00 c.t.
Michael Smith
Melbourne Business School
Active learning-assisted neutron spectroscopy with log-Gaussian processes Wednesday, 11/08/2023,
16.00 c.t.
Mario Teixeira Parente
Department of Statistics, LMU
Finite-sample exact prediction bands for functional data Monday, 11/20/2023,
15.00 s.t.
Simone Vantini
Polytechnic University of Milan
The power of prediction Monday, 11/27/2023,
4.15 pm
Moritz Hardt
Max Planck Institute for Intelligent Systems, Tübingen
AutoML for tabular datasets and tabular datasets for AutoML Wednesday, 12/06/2023,
4.15 pm
Matthias Feurer
Department of Statistics, LMU
In Search of Alignment between Social Media Posts and Survey Responses Thursday, 12/14/2023,
4.15 pm
Frederick Conrad
Michigan Program in Survey and Data Science
From Couch to Poll: Media Content and the
Value of Local Information
Wednesday, 01/10/2024, 4.15 pm Mathias Bühler
Department of Statistics, LMU
Large-scale pretraining: the nitty-gritty details New date: Wednesday, 02/21/2024, 2.15 pm Robert Baldock,
Aleph Alpha
Use Case for Bayesian Deep Learning in the Age of ChatGPT Wednesday, 02/28/2024,
4.15 pm
Vincent Fortuin,
Helmholtz AI

Program Summer Term 2023:

TopicDateSpeaker
Deriving interpretable thresholds for variable importance in random forests by permutation Wednesday, 05/10/2023,
16.00 c.t.
Maria Blanco, Tim Müller, Laura Schlieker, Hannes Buchner, Armin Ott
Staburo GmbH, Munich
Fusing Statistics and Machine Learning Wednesday, 05/31/2023,
16.00 c.t.
David Rügamer
Department of Statistics, LMU
V-Statistics and Variance Estimation: Inference for Random Forests and Other Ensembles Thursday, 06/01/2023,
16.00 c.t.
Giles Hooker
University of California, Berkeley
Generalized Data Thinning Using Sufficient Statistics Monday, 06/12/2023,
15.00 s.t.
Jacob Bien
University of Southern California, Los Angeles
New data, new questions, new problems? Online behavioral data in social science research Wednesday, 06/14/2023;
16.00 c.t. (only online)
Ruben L. Bach
University of Mannheim
Rank-based support vector machines for highly imbalanced data using nominated samples Wednesday, 06/21/2023,
16.00 c.t.
Mohammad Jafari Jozani
University of Manitoba, Winnipeg, Canada
Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection in networks Wednesday, 06/28/2023,
16.00 c.t.
Tiago de Paula Peixoto
Central European University, Vienna
Challenges in modern statistical network analysis: Data collection and covariate effect assessment Thursday, 07/13/2023,
16.00 c.t.
Cornelius Fritz
Pennsylvania State University
Mean field variational Bayes for finite mixture of random coefficients models Thursday, 07/27/2023,
10.00 s.t.
Anoop Chaturvedi
University of Allahabad, Prayagraj, India
StatTag and StatWrap for Conducting Collaborative Reproducible Research Thursday, 09/28/2023,
10.00 c.t.
Leah J. Welty
Northwestern University, Chicago

Program Winter Term 22/23:

TopicDateSpeaker
Decision Making under Complex Information with Applications to Statistics and Machine Learning Wednesday, 10/19/2022,
16.00 c.t.   
Christoph Jansen
Department of Statistics, LMU  
Current Research Projects in the Statistics and Econometrics Group Wednesday, 11/16/2022,
16.00 c.t.
Daniel Wilhelm
Department of Statistics, LMU
Testing for Global Covariate Effects in Dynamic Interaction Event Networks Wednesday, 11/30/2022,
16.00 c.t.
Alexander Kreiß
Leipzig University
Collaborative real-time modelling during the COVID-19 pandemic Wednesday, 12/21/2022,
16.00 c.t.
Johannes Bracher
Karlsruhe Institute of Technology
E is the new P Tuesday, 01/10/2023,
17.00 c.t.
Rianne de Heide
Vrije Universiteit Amsterdam
An interpretable machine learning workflow for statistical inference Wednesday, 01/25/2023,
16.00 c.t.
Andreas Joseph
Bank of England, London
Benchmarking in the social sciences Wednesday, 02/01/2023,
16.00 c.t.
Paulina Pankowska
University of Utrecht
The Generalized Linear Mixed Model Leading Terms Wednesday, 02/08/2023,
16.00 c.t.
Matt Wand
University of Technology Sydney
Assessing goodness of fit for network models Wednesday, 02/15/2023,
16.00 c.t.
Gesine Reinert
University of Oxford
Modeling biomarker ratios with gamma distributed components Wednesday, 03/22/2023,
16.00 c.t.
Matthias Schmid
University of Bonn

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)