Quantile universal threshold: model selection at the detection edge for high-dimensional linear regression

Jairo Diaz-Rodriguez, Sylvain Sardy

To estimate a sparse linear model from data with Gaussian noise, consilience from lasso and compressed sensing literatures is that thresholding estimators like lasso and the Dantzi…