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Programm der vorherigen Semester

Programm im Wintersemester 20/21:

ThemaDatumVortragende(r)
Multiaccurate Predictors Under Distributional Shifts Mittwoch, 18.11.2020,
16.00 c.t.                     
Christoph Kern
Institut für Statistik, LMU
Beyond traditional assumptions in fair machine learning
(Folien)
Mittwoch, 09.12.2020,
16.00 c.t.
Niki Kilbertus
HelmholtzAI, München
Heterogeneity of Beliefs and Information Rigidity in the Crude Oil Market: Evidence from Survey Data Mittwoch, 16.12.2020,
16.00 c.t.
Robert Czudaj
Institut für Statistik, LMU
Flexible domain prediction of continuous and count outcomes using unit level quantile random effects regression Mittwoch, 13.01.2021,
16.00 c.t.
Timo Schmid
Freie Universität Berlin                     
Testing relevant hypotheses in functional time series via self-normalization Mittwoch, 03.02.2021,
16.00 s.t.
Holger Dette
Ruhr-Universität Bochum

Programm im Sommersemester 2020:

ThemaDatumVortragende(r)
Integrating Probability and Nonprobability Surveys: A Bayesian Approach Mittwoch, 03.06.2020,   
16.00 c.t.
Joseph Sakshaug
Institut für Statistik, LMU;
IAB Nürnberg
Lower bound for true incidence of infections based on official case numbers during a COVID outbreak in Germany 2020 Mittwoch, 17.06.2020,
16.00 s.t.
Ralph Brinks, Annika Hoyer
Institut für Statistik, LMU
Analysis of the COVID-19 Pandemic in Germany Mittwoch, 08.07.2020,
16.00 c.t.
COVID-19 Data Analysis Group@LMU
A meta-analysis of individual, aggregated and incomplete aggregated data Mittwoch, 29.07.2020, 
16.00 s.t.
Reinhard Vonthein
Institut für Statistik, LMU

Programm im Wintersemester 19/20:

ThemaDatumVortragende(r)
Regression and graphical model learning for compositional data - with applications to microbiome data Mittwoch, 06.11.2019,
16.00 s.t.
(Schellingstr. 3, S 006)            
Christian Müller
Institut für Statistik, LMU                           
Maschinelles Lernen und amtliche Statistik? Mittwoch, 20.11.2019,
16.00 s.t.
Florian Dumpert
Statistisches Bundesamt, Wiesbaden              
Approaches for sharing information between heterogeneous patient subgroups in sparse Cox models Mittwoch, 27.11.2019,
16.00 s.t.
Katrin Madjar
Institut für Statistik, LMU  
On the degrees of freedom of a smoothing parameter Mittwoch, 04.12.2019,
16.00 s.t.
Benjamin Säfken
Institut für Statistik, LMU
Score matching for graphical models Mittwoch, 18.12.2019,
16.00 s.t.
Mathias Drton
Technische Universität München
Bringing Research Design Back In Mittwoch, 08.01.2020,
16.00 c.t.
(Konradstr. 6, Raum 309)
Ulrich Kohler
Universität Potsdam
Artificial Intelligence and Data Science in Earth Observation Mittwoch, 15.01.2020,
16.00 s.t.
Xiaoxiang Zhu
Deutsches Zentrum für Luft- und Raumfahrt (DLR)
Statistical and Computational Challenges in Probabilistic Ensemble Forecasting for Infectious Disease Mittwoch, 22.01.2020,
16.00 s.t.
Nicholas G. Reich
University of Massachusetts, Amherst
mlr3 - A new framework for machine learning with R Mittwoch, 29.01.2020,
16.00 c.t.
Michel Lang
Institut für Statistik, LMU
Semi-Structured Deep Distributional Learning Mittwoch, 26.02.2020,
16.00 s.t.
David Rügamer
Institut für Statistik, LMU

Programm im Sommersemester 2019:

ThemaDatumVortragende(r)
Immigration and Support for the Welfare State: How to Do Replication in the Social Sciences? Mittwoch, 08.05.2019,
16.00 c.t.
(Schellingstr. 3, S 006)
Katrin Auspurg, Josef Brüderl                            
Institut für Soziologie, LMU              
Online data challenges, disrupters and facilitators for grant-based clinical risk prediction research Mittwoch, 22.05.2019,
16.00 s.t.
Donna Ankerst
Technische Universität München
New approaches for the modeling of competing risks in discrete time Mittwoch, 12.06.2019,
16.00 s.t.
Moritz Berger
Vertretungsprofessur Institut für Statistik, LMU
Matrix-Free Algorithms for Smoothing Large Data Sets Mittwoch, 19.06.2019,
16.00 s.t.
Julian Wagner
Vertretungsprofessur Institut für Statistik, LMU
Bayesian modelling of treatment effects on panel outcomes Montag, 24.06.2019,
14.30 s.t.
Helga Wagner
Johannes Kepler Universität Linz
Aktuelle Probleme der Kalibrierung und kohärenten Schätzung Mittwoch, 03.07.2019,
16.00 c.t.
(Geschw.-Scholl-Pl. 1, M 001)
Ralf Münnich
Universität Trier
Learning good research practices the hard way: a reproducibility study in the class room Mittwoch, 10.07.2019,
16.00 s.t.
Heidi Seibold
Vertretungsprofessur Institut für Statistik, LMU
Kaggle-in-class Data Challenges Can Boost Student Learning Mittwoch, 17.07.2019,
16.00 s.t.
Julia Polak
University of Melbourne
Overview of Masters Research (Analytics Application to the Insurability of Chronic Conditions) Donnerstag, 18.07.2019,
16.00 s.t.
Lee Sarkin
Munich Re Data Analytics, Singapur

Programm im Wintersemester 2018/19:

ThemaDatumVortragende(r)
A semi-parametric model for the meta-analysis of diagnostic tests accounting for multiple thresholds Mittwoch, 07.11.2018,        
16.00 s.t.                                  
Annika Hoyer
Vertretungsprofessur Institut für Statistik, LMU
Spatial Conditional Overdispersed Bayesian Model Proposals Mittwoch, 28.11.2018,
16.00 s.t.
Vicente A. Núñez-Anton
Universidad del País Vasco, Bilbao
Linear Discriminant Analysis with High-dimensional Spatial Data Montag, 17.12.2018,
11.00 s.t.
Taps Maiti
Michigan State University
Artificial Intelligence in Healthcare Dienstag, 15.01.2019,
14.00 s.t.
Aldo Faisal
Imperial College London
Statistical Postprocessing of Numerical Weather Predictions Mittwoch, 23.01.2019,
16.00 s.t.
Thorsten Simon
Universität Innsbruck
Multi-state models in chronic disease epidemiology Mittwoch, 30.01.2019,
16.00 s.t.
Ralph Brinks
Deutsches Diabetes-Zentrum, Universität Düsseldorf
A relational approach in classification, subgroup discovery and statistical data analysis Mittwoch, 13.02.2019,
16.00 s.t.
Georg Schollmeyer
Institut für Statistik, LMU
Streaming from a smartphone application: a new approach using mHealth and data-driven analyses to map health during travel Mittwoch, 13.03.2019,
09.00 s.t.
Andrea Farnham
Swiss Tropical and Public Health Institute, Basel

Programm im Sommersemester 2018:

ThemaDatumVortragende(r)
Superstar Economists: Coauthorship networks and research output Mittwoch, 18.04.2018,          
16.00 s.t.                                                           
Michael König
University of Zurich
Kernel-based short-term forecasting of trending seasonal time series Mittwoch, 02.05.2018,
16.00 s.t.
Joachim Schnurbus
(Vertretungsprofessur Institut für Statistik, LMU)
Parameter estimation from coarse data: on different theoretical assumptions and their practical implications Montag, 07.05.2018,
14.00 s.t.
Inés Couso
Universidad de Oviedo
Sequential detection of structural changes in irregularly observed data Mittwoch, 09.05.2018,
17.20 s.t.
Tobias Kley
HU Berlin
Forecasting infectious disease epidemics via weighted density ensembles Montag, 14.05.2018,
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 Mittwoch, 23.05.2018,
16.00 s.t.
Benjamin MoritzInstitut für Statistik, LMU
Surveys, "Big Data", and Machine Learning: Bringing Methods together to Solve Difficult Problems at Scale Mittwoch, 13.06.2018,
17.00 s.t.
Curtiss Cobb
Survey Scientist and Manager, Demography and Survey Science Group, Facebook
A Multilayer ERGM framework for weighted networks Freitag, 22.06.2018,
16.00 s.t.
Alberto Caimo
Dublin Institute of Technology, Ireland
Statistical Inference for Discretely Observed Markov Processes, With Application to Credit Rating Transitions Mittwoch, 11.07.2018,
16.00 s.t.
Marius Pfeuffer
Universität Erlangen-Nürnberg

Programm im Wintersemester 2017/18:

ThemaDatumVortragende(r)
Statistische Modelle bei der Analyse von sensorischen Daten am Beispiel Ebergeruch Mittwoch, 21.09.2017,
16.00 s.t.                                                                                     
Jan Gertheiss
(Technische Universität Clausthal)
Reproducibility of Statistical Tests

Mittwoch, 07.11.2017,
10.15

Frank Coolen
(Durham University)
The Deep Forest and its Modifications
(slides)
Mittwoch, 08.11.2017,
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 Mittwoch, 08.11.2017,
16.00 s.t.
Martin Spindler
(Universität Hamburg)
Kontrollkarten zur Detektion abrupter Änderungen in Signalen mit zeitabhängigem Trend Mittwoch, 06.12.2017,
16.00 s.t.
Sermad Abbas
(TU Dortmund)
Antrittsvorlesung Mittwoch, 10.01.2018,
16.00 s.t.
(Professor-Huber-Platz 2, V005)
Moritz Grosse-Wentrup
(LMU Munich)
Die Statistik(abteilung) der Bundesagentur für Arbeit: Das unbekannte Wesen? Mittwoch, 15.01.2018,
10.15 (Seminarraum)
Rainer Hahn
(Stellvertretender Leiter der Statistik der Bundesagentur für Arbeit)
Model-Based Recursive Partitioning for Stratified and Personalised Medicine Mittwoch, 17.01.2018,
16.00 s.t.
Heidi Seibold
(Universität Zürich)
Gaussian Process Emulation of Computer Models with Massive Output Mittwoch, 31.01.2018,
16.00 s.t.
Jim Berger
Duke University, USA
Cost Risk Analysis: Dynamically Consistent Decision-Making under Climate Targets Montag, 19.02.2018,
16.30 s.t.
Hermann Held
Center for Earth System Research and Sustainability, Uni Hamburg und vom Postdam-Institut für Klimafolgenforschung

Programm im Sommersemester 2017:

ThemaDatumVortragende(r)
The R package "hmi" - a convenient tool for imputing missing values in hierarchical datasets Mittwoch, 19.04.2017,
16.00 s.t.                                   
Matthias Speidel
(Institute for Employment Research, Nuremberg)
An introduction to boosting distributional regression Mittwoch, 10.05.2017,
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 Mittwoch, 31.05.2017,
16.00 s.t.
Elisabeth Waldmann
(Friedrich-Alexander-Universität, Erlangen-Nürnberg)
Robust Bayesian Analysis of Linear Static Panel Data Models Using Epsilon-contamination Mittwoch, 28.06.2017,
16.00 s.t.
Anoop Chaturvedi
(University of Allahabad, India)

Programm im Wintersemester 2016/17:

ThemaDatumVortragende(r)
Fusion Learning: Fusing Inferences from Multiple Sources for More Powerful Findings  Mittwoch, 23.11.2016,
16.00 s.t.                        
Regina Liu,
Rutgers University (NJ, USA)
Selective Inference with Application to L2-Boosting  Mittwoch, 30.11.2016,
16.30 s.t.
David Rügamer,
LMU München
Understanding Biological Processes using Stochastic Modelling: Gaining Information from Uncertainty  Mittwoch, 07.12.2016,
16.00 s.t.
Christiane Fuchs,
LMU München
Assessing and Explaining Strategic Voting with Survey Data: A Finite Mixture Discrete Choice Model  Mittwoch, 21.12.2016,
16.00 s.t.
Martin Elff,
Zeppelin University, Friedrichshafen
(Bayesian) Regression for Big Data using Random Projections Mittwoch, 11.01.2017,
16.00 s.t.
Katja Ickstadt/Leo Geppert,
TU Dortmund
Step-Stress Models Mittwoch, 18.01.2017,
16.00 s.t.
Maria Kateri,
RWTH Aachen
Surfaces, shapes and anatomy  Mittwoch, 25.01.2017,
16.00 s.t.
Adrian Bowman
University of Glasgow
Selection of Effects in Cox Frailty Models by Regularization Methods  Mittwoch, 01.02.2017,
17.15
Schellingstr. 3, S 006
Andreas Groll
Universität Göttingen

Programm im Sommersemester 2016:

ThemaDatumVortragende(r)
Habilitation Antrittsvortrag zum Thema A General Framework for Regression with Functional Data, with Applications           Mittwoch, 20.04.2016,
17.00 Uhr s.t.                         
Fabian Scheipl
(Institut für Statistik)                              
Statistical methods for the meta-analysis of full ROC curves  Mittwoch, 04.05.2016,
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  Mittwoch, 18.05.2016,
16.00 Uhr s.t.
Michael Schweinberger,
Rice University (USA)
Structural Equation Modeling with Onyx  Mittwoch, 25.05.2016,
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  Mittwoch, 08.06.2016,
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  Mittwoch, 15.06.2016,
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  Mittwoch, 29.06.2016,
16.00 Uhr s.t.
Roland Fried
(TU Dortmund)
Evading the curse of dimensionality in nonparametric density estimation with simplified vine copulas  Mittwoch, 06.07.2016,
17.00 Uhr s.t.
Thomas Nagler,
TUM
What’s the evidence? On P-values and Bayes factors  Mittwoch, 20.07.2016,
16.00 Uhr s.t.                                        
Leonhard Held,
University of Zurich (Schweiz)