no code implementations • 14 Jul 2021 • Jean Barbier, Wei-Kuo Chen, Dmitry Panchenko, Manuel Sáenz
Here we consider a model in which the responses are corrupted by gaussian noise and are known to be generated as linear combinations of the covariates, but the distributions of the ground-truth regression coefficients and of the noise are unknown.
no code implementations • 27 Sep 2020 • Jean Barbier, Dmitry Panchenko, Manuel Sáenz
We consider a generic class of log-concave, possibly random, (Gibbs) measures.