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...
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.