2 papers
math.ST2025
Pattern recovery by SLOPE
MaÅgorzata Bogdan, Xavier Dupuis, Piotr Graczyk +4
SLOPE is a popular method for dimensionality reduction in the high-dimensional regression. Indeed some regression coefficient estimates of SLOPE can be null (sparsity) or can be eq…
stat.ME2025
Nonparametric Shrinkage Estimation in High Dimensional Generalized Linear Models via Polya Trees
Asaf Weinstein, Jonas Wallin, Daniel Yekutieli +1
Regularization in fitting regression models has been a highly active topic of research in the past few decades, but most of the existing methods are designed for particular situati…