Programm der vorherigen Semester
Programm im Wintersemester 2024/25:
| Thema | Datum | Vortragende(r) |
|---|---|---|
| Planetary Causal Inference: Understanding Society and Economy through Earth Observation | Mittwoch, 23.10.2024, 16 Uhr c.t. | Connor Jerzak University of Texas |
| The Complexities of Differential Privacy for Survey Data | Mittwoch, 13.11.2024, 16 Uhr c.t. | Jörg Drechsler IAB/LMU |
| How Game-Theoretic Probability Makes Sense of Cournot's Principle | Mittwoch, 20.11.2024, 16 Uhr c.t. | Glenn Shafer Rutgers University |
| Assumption-Lean (Causal) Modeling | Mittwoch, 11.12,2024, 16 Uhr c.t. | Stijn Vansteelandt Ghent University |
| Additive Density-on-Scalar Regression in Bayes Hilbert Spaces with an Application to Gender Economics | Mittwoch, 15.01.2025, 16 Uhr c.t. | Sonja Greven HU Berlin |
| A Novel Statistical Approach to Analyze Image Classification | Mittwoch, 29.01.2025, 16 Uhr c.t. | Sophie Langer University of Twente |
| Verschoben auf SoSe 2025 |
Isabel Valera Saarland University in Saarbrücken |
Programm im Sommersemester 24:
| Thema | Datum | Vortragende(r) |
|---|---|---|
| Heat-related mortality in the context of climate change | Donnerstag, 25.04.2024, 14.15 | Susanne Breitner-Busch Helmholtz Munich |
| Optimal convex M-estimation via score matching |
Mittwoch, 15.05.2024, 17.00 |
Richard Samworth Cambridge University |
| Provable Boolean interaction recovery from tree ensemble obtained via random forests |
Mittwoch, 29.05.2024, 16.15 |
Merle Behr Universität Regensburg |
| Explainable Methods for Reinforcement Learning | Montag, 03.06.2024, 16.15 | Jasmina Gajcin Trinity College Dublin |
| Multiverse Analysis: On the Robustness of Functional Form and Data Pre-Processing Decisions |
Mittwoch, 05.06.2024, 16.15 (Institut für Soziologie, Raum 309) |
Cristobal Young Cornell University |
| Resampling-based inference for the average treatment effect in observational studies with competing risks |
Mittwoch, 19.06.2024, 16.15 |
Sarah Friedrich Universität Augsburg |
| The Complexities of Differential Privacy for Survey Data | Mittwoch, 26.06.2024, 16.15 | Jörg Drechsler LMU |
| On extreme value copulas | Montag, 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? |
Mittwoch, 03.07.2024, 16.15 |
Jan Beyersmann Universität Ulm |
| Variational Learning for Large Deep Networks | Mittwoch, 10.07.2024, 15.15 Uhr | Thomas Möllenhoff |
| Privacy, Data Privacy, and Differential Privacy | Dienstag 16.07.2024, 11.00 Uhr | James Bailie |
Programm im Wintersemester 23/24:
| Thema | Datum | Vortragende(r) |
|---|---|---|
| Variational Inference for Cutting Feedback in Misspecified Models | Freitag, 03.11.2023, 13.00 c.t. |
Michael Smith Melbourne Business School |
| Active learning-assisted neutron spectroscopy with log-Gaussian processes | Mittwoch, 08.11.2023, 16.00 c.t. |
Mario Teixeira Parente Institut für Statistik, LMU |
| Finite-sample exact prediction bands for functional data | Montag, 20.11.2023, 15.00 s.t. |
Simone Vantini Polytechnic University of Milan |
| The power of prediction | Montag, 27.11.2023, 16.00 c.t. |
Moritz Hardt Max Planck Institute for Intelligent Systems, Tübingen |
| AutoML for tabular datasets and tabular datasets for AutoML | Mittwoch, 06.12.2023, 16.00 c.t. |
Matthias Feurer Institut für Statistik, LMU |
| In Search of Alignment between Social Media Posts and Survey Responses | Donnerstag, 14.12.2023, 16.00 c.t. |
Frederick Conrad Michigan Program in Survey and Data Science |
| From Couch to Poll: Media Content and the Value of Local Information |
Mittwoch, 10.01.2024, 16.00 c.t. | Mathias Bühler Department of Statistics, LMU |
| Large-scale pretraining: the nitty-gritty details | neuer Termin: Mittwoch, 21.02.2024, 14.00 c.t. |
Robert Baldock Aleph Alpha |
| Use Case for Bayesian Deep Learning in the age of ChatGPT | Mittwoch, 28.02.2024, 16.00 c.t. |
Vincent Fortuin Helmholtz AI |
Programm im Sommersemester 2023:
| Thema | Datum | Vortragende(r) |
|---|---|---|
| Deriving interpretable thresholds for variable importance in random forests by permutation | Mittwoch, 10.05.2023, 16.00 c.t. |
Maria Blanco, Tim Müller, Laura Schlieker, Armin Ott, Hannes Buchner Staburo GmbH, München |
| Fusing Statistics and Machine Learning | Mittwoch, 31.05.2023, 16.00 c.t. |
David Rügamer Institut für Statistik, LMU |
| V-Statistics and Variance Estimation: Inference for Random Forests and Other Ensembles | Donnerstag, 01.06.2023, 16.00 c.t. |
Giles Hooker University of California, Berkeley |
| Generalized Data Thinning Using Sufficient Statistics | Montag, 12.06.2023, 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 | Mittwoch, 14.06.2023, 16.00 c.t. (nur online) |
Ruben L. Bach Universität Mannheim |
| Rank-based support vector machines for highly imbalanced data using nominated samples | Mittwoch, 21.06.2023, 16.00 c.t. |
Mohammad Jafari Jozani University of Manitoba, Winnipeg, Kanada |
| Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection in networks | Mittwoch, 28.06.2023, 16.00 c.t. |
Tiago de Paula Peixoto Central European University, Wien |
| Challenges in modern statistical network analysis: Data collection and covariate effect assessment | Donnerstag, 13.07.2023, 16.00 c.t. |
Cornelius Fritz Pennsylvania State University |
| Mean field variational Bayes for finite mixture of random coefficients models | Donnerstag, 27.07.2023, 10.00 s.t. |
Anoop Chaturvedi University of Allahabad, Prayagraj, Indien |
| StatTag and StatWrap for Conducting Collaborative Research | Donnerstag, 28.09.2023, 10.00 c.t. |
Leah J. Welty Northwestern University, Chicago |
Programm im Wintersemester 22/23:
| Thema | Datum | Vortragende(r) |
|---|---|---|
| Decision Making under Complex Information with Applications to Statistics and Machine Learning | Mittwoch, 19.10.2022, 16.00 c.t. |
Christoph Jansen Institut für Statistik, LMU |
| Current Research Projects in the Statistics and Econometrics Group | Mittwoch, 16.11.2022, 16.00 c.t. |
Daniel Wilhelm Institut für Statistik, LMU |
| Testing for Global Covariate Effects in Dynamic Interaction Event Networks | Mittwoch, 30.11.2022, 16.00 c.t. |
Alexander Kreiß Universität Leipzig |
| Collaborative real-time modelling during the COVID-19 pandemic | Mittwoch, 21.12.2022, 16.00 c.t. |
Johannes Bracher Karlsruher Institut für Technologie |
| E is the new P | Dienstag, 10.01.2023, 17.00 c.t. |
Rianne de Heide Vrije Universiteit Amsterdam |
| An interpretable machine learning workflow for statistical inference | Mittwoch, 25.01.2023, 16.00 c.t. |
Andreas Joseph Bank of England, London |
| Benchmarking in the social sciences | Mittwoch, 01.02.2023, 16.00 c.t. |
Paulina Pankowska Universiteit Utrecht |
| The Generalized Linear Mixed Model Leading Terms | Mittwoch, 08.02.2023, 16.00 c.t. |
Matt Wand University of Technology Sydney |
| Assessing goodness of fit for network models | Mittwoch, 15.02.2023, 16.00 c.t. |
Gesine Reinert University of Oxford |
| Modeling biomarker ratios with gamma distributed components | Mittwoch, 22.03.2023, 16.00 c.t. |
Matthias Schmid Universität Bonn |
Programm im Sommersemester 2022:
| Thema | Datum | Vortragende(r) |
|---|---|---|
| Instrumental Variable Approaches To Individualized Treatment Regimes Under A Counterfactual World | Dienstag, 03.05.2022, 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. | Mittwoch, 04.05.2022, 17.30 s.t. |
Carolin Strobl Universität Zürich |
| Surprises in topic model estimation and new Wasserstein document-distance calculations | Mittwoch, 11.05.2022, 16.00 c.t. |
Florentina Bunea Cornell University, Ithaca, New York |
| Data 4 Policy: Towards a Data Culture | Mittwoch, 18.05.2022, 16.00 c.t. (Geschw.-Scholl-Pl. 1, B 201) Meeting-ID: 942-6899-3687 Passwort: 630870 https://lmu-munich.zoom.us /j/94268993687?pwd=TzRON09 qYXhWTWtRT3ZySzRPR0ZWQT09 |
Walter J. Radermacher Institut für Statistik, LMU |
| Uncertainty, Networks and Statistical Modelling | Mittwoch, 01.06.2022, 16.00 c.t. |
Arbeitsgruppenvorstellung: Lehrstuhl für Statistik und ihre Anwendungen in Wirtschafts- und Sozialwissenschaften (Göran Kauermann) |
| On the Difficulty of Epistemic Uncertainty Quantification in Machine Learning: The Case of Direct Uncertainty Estimation through Loss Minimisation | Mittwoch, 08.06.2022, 16.00 c.t. |
Viktor Bengs Institut für Statistik, LMU |
| Knowledge Cascade: Reverse Knowledge Distillation | Dienstag, 14.06.2022, 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 | Mittwoch, 15.06.2022, 16.00 c.t. (nur online) https://lmu-munich.zoom.us /j/3744147750?pwd=MWpsWX JnQTZVSitMaHByZSt3SmNkZz09 |
Markus Gangl Goethe-Universität Frankfurt |
| State space models as a flexible framework for monitoring epidemics | Donnerstag, 23.06.2022, 16.00 c.t. |
Stefan Heyder, Thomas Hotz Technische Universität Ilmenau |
| Predicting macroeconomic indicators from online activity data: a case study | Mittwoch, 29.06.2022, 16.00 c.t. |
Maria Eduarda Silva Universität Porto |
| Some Ideas for Causal Inference with Continuous Multiple Time Point Interventions | Mittwoch, 06.07.2022, 16.00 c.t. |
Michael Schomaker Institut für Statistik, LMU |
| Functional data methods for wearable device data | Dienstag, 12.07.2022, 17.30 s.t. |
Jeff Goldsmith Columbia University, New York |
| Combining experimental and population data to estimate population treatment effects | Mittwoch, 13.07.2022, 16.00 s.t. (nur online) |
Elizabeth Stuart Johns Hopkins Bloomberg School of Public Health, Baltimore |
| On vine copulas and uncertainty | Mittwoch, 20.07.2022, 17.00 c.t. |
Thomas Nagler Institut für Statistik, LMU |
Programm im Wintersemester 21/22:
| Thema | Datum | Vortragende(r) |
|---|---|---|
| A marked Hawkes process for modeling and detecting fake news on social media | Mittwoch, 20.10.2021, 16.00 c.t. |
Stefan Feuerriegel Fakultät für Betriebswirtschaft, LMU |
| Testing Probabilities Oracles | Mittwoch, 03.11.2021, 16.00 c.t. (nur online) |
Timo von Oertzen Universität der Bundeswehr München |
| How To Develop Data Science Products at Scale | Donnerstag, 04.11.2021, 11.00 s.t. (nur online) |
René Traue, Christian Lindenlaub GfK, Nürnberg |
| Learning from Weakly Structured Information (Folien) |
Mittwoch, 01.12.2021, 16.00 c.t. (nur online) |
Arbeitsgruppenvorstellung: Method(olog)ische Grundlagen der Statistik und ihre Anwendungen (Thomas Augustin) |
| Science of Data - or what we think about when we worry about data quality | Mittwoch, 12.01.2022, 16.00 c.t. (nur online) |
Arbeitsgruppenvorstellung: Statistics and Data Science in Social Sciences and the Humanities (Frauke Kreuter) |
| Measurement error in social research | Mittwoch, 19.01.2022, 16.00 c.t. (nur online) |
Daniel L. Oberski Universität Utrecht |
| The Statistical Consulting Unit StaBLab at LMU - Selected Examples of Current Research Projects | Mittwoch, 26.01.2022, 16.00 c.t. (nur online) |
Arbeitsgruppenvorstellung: Statistisches Beratungslabor (StaBLab) (Helmut Küchenhoff) |
| The Statistical Learning and Data Science Group - Selected Topics from Research and Applications | Mittwoch, 02.02.2022, 16.00 c.t. (nur online) |
Arbeitsgruppenvorstellung: Statistical Learning and Data Science (Bernd Bischl) |
| The Working Group on Methods for Missing Data, Model Selection and Model Averaging - Research Topics and Applications | Mittwoch, 09.02.2022, 16.00 c.t. (nur online) |
Arbeitsgruppenvorstellung: Methods for Missing Data, Model Selection and Model Averaging (Christian Heumann) |
Programm im Sommersemester 2021:
Programm im Wintersemester 20/21:
| Thema | Datum | Vortragende(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:
| Thema | Datum | Vortragende(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:
| Thema | Datum | Vortragende(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:
| Thema | Datum | Vortragende(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:
| Thema | Datum | Vortragende(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:
| Thema | Datum | Vortragende(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:
| Thema | Datum | Vortragende(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, |
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:
| Thema | Datum | Vortragende(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:
| Thema | Datum | Vortragende(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 |