Seminar on Statistics and Data Science
This seminar series is organized by the research group in statistics and features talks on advances in methods of data analysis, statistical theory, and their applications. The speakers are external guests as well as researchers from other groups at TUM. All talks in the seminar series are listed in the Munich Mathematical Calendar.
The seminar takes place in room 8101.02.110, if not announced otherwise. To stay up-to-date about upcoming presentations please join our mailing list. You will receive an email to confirm your subscription.
Upcoming talks
Previous talks
within the last 180 days
20.11.2024 12:15 Dmitrii Pavlov (TU Dresden): Hyperplane arrangements in the Grassmannian
13.11.2024 13:15 Tom Claassen (Radboud University Nijmegen, Netherlands): Anytime-anywhere FCI+ : a true ‘anytime’ algorithm for causal discovery with high-density regions
07.11.2024 14:00 Mats Julius Stensrud (Ecole Polytechnique Fédérale de Lausanne): On optimal treatment regimes assisted by algorithms
07.11.2024 15:30 Nan Rosemary Ke (Google Deepmind): Scaling Causal Inference with Deep Learning and Foundation Models
23.10.2024 12:15 Ernst C. Wit (Università della Svizzera italiana, Lugano): Causal regularization for risk minimization.
25.09.2024 09:00 Niels Richard Hansen, Negar Kiyavash, Martin Huber, Niklas Pfister, Leonard Henckel, Jakob Runge, Francesco Locatello, Isabel Valera, Sara Magliacane, Qingyuan Zhao, Jalal Etesami: Miniworkshop on Causal Inference 2024
06.08.2024 10:15 Sven Wang (Humboldt University Berlin): Statistical algorithms for low-frequency diffusion data: A PDE approach.
02.07.2024 14:00 Thomas Richardson (University of Washington, Seattle): Short Course on “Graphical causal modeling” (Lecture 3/3)
27.06.2024 14:00 Thomas Richardson (University of Washington, Seattle): Short Course on “Graphical causal modeling” (Lecture 2/3)
25.06.2024 14:00 Thomas Richardson (University of Washington, Seattle): Short Course on “Graphical causal modeling” (Lecture 1/3)
17.06.2024 09:00 Saber Salehkaleybar (Leiden University): Causal Inference in Linear Structural Causal Models.
10.06.2024 10:30 Adèle Ribeiro (Philipps-Universität Marburg): Recent Advances in Causal Inference under Limited Domain Knowledge.
05.06.2024 12:15 Han Li (The University of Melbourne): Constructing hierarchical time series through clustering: Is there an optimal way for forecasting?
For talks more than 180 days ago please have a look at the Munich Mathematical Calendar (filter: "Oberseminar Statistics and Data Science").