News

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full ...
Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full ...
In this article, we propose a new variable importance measure, sparsity oriented importance learning (SOIL), for high-dimensional regression from a sparse linear modeling perspective by taking into ...
We propose MC+, a fast, continuous, nearly unbiased and accurate method of penalized variable selection in high-dimensional linear regression. The LASSO is fast and continuous, but biased. The bias of ...