# 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

## 15.05.2024 17:00 Richard Samworth (University of Cambridge): Optimal convex M-estimation via score matching

## 13.05.2024 15:15 Chandler Squires (MIT, Cambridge): Decision-centric causal structure learning: An algorithm of data-driven covariate adjustment

## 26.03.2024 13:00 Tobias Boege (KTH Royal Institute of Technology, Stockholm): Colored Gaussian DAG models

## 20.03.2024 12:15 Yichen Zhu (Università Bocconi, Milano): Posterior Contraction Rates for Vecchia Approximations of Gaussian Processes

## 13.03.2024 12:30 Bryon Aragam (University of Chicago): Optimal structure learning in structural equation models

## 28.02.2024 11:45 Søren Wengel Mogensen (Lund University): Graphical models of local independence in stochastic processes

## 05.02.2024 14:15 Michael Joswig (TU Berlin) : What Is OSCAR?

## 05.02.2024 15:30 Antony Della Vecchia (TU Berlin): OSCAR demo + The mrdi File Format

## 06.12.2023 12:00 Richard Guo (University of Cambridge): Harnessing Extra Randomness: Replicability, Flexibility and Causality

## 06.12.2023 13:00 Stefan Bauer (TUM): Der Vortrag von Stefan Bauer (TUM) "Learning Causal Representations: Explainable AI for Structured Exploration" entfällt leider.

For talks more than 180 days ago please have a look at the Munich Mathematical Calendar (filter: "Oberseminar Statistics and Data Science").