Meyer Nicolas

Inference for H{\"u}sler-Reiss block models

Estimating the H{\"u}sler-Reiss precision matrix is a fundamental problem for statistical inference in multivariate extremes. In high-dimensional settings, the number of unknown parameters grows quadratically with the dimension, making regularisation indispensable. Existing approaches regularise the estimation problem...