Project "Stein-based goodness-of-fit TEsts for Non-Euclidean Data" (STENED) gets funded

The project STENED, co-led by Eduardo García-Portugués and Bruno Ebner has been funded through the “AEI-DFG Call for Joint Spanish-German Research Projects”. The project is jointly participated by the Karlsruhe Institute for Technology and Universidad Carlos III de Madrid. Andrea Meilán-Vila and Alberto Fernández-de-Marcos also participate in STENED.

One of the main objectives of STENED is to leverage Stein’s method to create an overarching inferential toolbox for parametric and semiparametric distribution models defined on non-Euclidean supports. The pursuit of this goal involves developing cutting-edge mathematical statistics and computational statistics.