Research group Mathematical Statistics

Current information on the Corona virus

 

TUM will remain closed to the general public until further notice.

Courses are offered digitally as a rule.

 

You can contact our staff by e-mail using the known addresses shown on our website

 

Garching, November 2, 2020

Stay healthy!

News

New book on vine copulas. The book offers a step-by-step introduction to vine copula based dependence modeling, including model selection and estimation methods for vine copulas [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 devoted to theoretical and methodological advances in vine copula models, including estimation, model selection, simulation, statistical learning, and survival models. Another focus is to showcase... [more]

Seminar on Statistics and Data Science

For an updated list of events, please visit the seminar website.