Conferences, workshops and seminars

The 185 winners of the ERC’s annual Advanced Grants competition were announced March 31. The new research projects, apart from strengthening Europe’s knowledge base, are expected to lead to the creation of some 1,800 new jobs for post-doctoral fellows, PhD students and other research staff. ... [more]

Zur Einhaltung der geltenden Vorschriften seitens der Technischen Universität München, des Freistaates Bayern und der Bundesrepublik Deutschland zur Verlangsamung der Verbreitung des Corona-Virus, bleiben die Büros der Arbeitsgruppe Mathematische Statistik bis mindestens 17. April 2020 geschlossen. ... [more]

The goal of this workshop is to bring together researchers in graphical models and explore the strong algebraic connections present in their analysis, with a focus on conditional independence. [more]

Realistic big data analyses require statistical models accounting for dependence. The class of vine copulas (vine-copula.org) has been shown to capture flexibly dependence patterns with tail dependence and asymmetry. Vine copulas significantly extend the Gaussian copula. This two day workshop is... [more]

On May 17th we celebrate Claudia Klüppelberg and her scientific achievements. We do this with a Festkolloquium at the Institute for Advanced Study at TUM. Invited speakers are the former TUM researchers Anita Behme, Vicky Fasen-Hartmann, Alexander Lindner, Gernot Müller, and Robert Stelzer. ... [more]

One aim of the conference is to celebrate the Carl Friedrich von Siemens Prize of the Alexander von Humboldt Foundation awarded to Steffen Lauritzen from University of Copenhagen. [more]

In our complex and interrelated world, taking care of dependence is a key task for success in stochastic modeling. The copula framework takes a pivotal role in this area. The conference will bring together researchers from different methodological view points and application areas to provide an up to... [more]

In the lectures Prof. Lauritzen shall go through basic elements of undirected graphical Gaussian models, their maximum likelihood theory, and discuss features arising when additional structure such as symmetry and total positivity is taken into account. Prof. Lauritzen describes and discusses... [more]

This workshop focuses on the theoretical aspect and practical applications of the high-dimensional dependence models. This is a much broader theme compared to the previous workshops in order to reflect the recent advances in dependence and copulas.Two short courses (vine copula inference and... [more]