Congratulations! Mathias Drton, Professor for Mathematical Statistics at the TUM Department of Mathematics has been awarded the Ethel Newbold-Prize 2019. Every two years the prize is awarded to excellent statisticians in their early or mid-career by the Bernoulli Society for Mathematical Statistics and Probability. The Ethel Newbold-Prize acknowledges outstanding research in mathematical statistics, and/or excellence in research that links developments in a substantive field to new advances in statistics. [read 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. [read 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 important applications in… [read more]