Search Results for author:
Found 1 papers, 0 papers with code
A convex formulation for high-dimensional sparse sliced inverse regression
Sliced inverse regression is a popular tool for sufficient dimension reduction, which replaces covariates with a minimal set of their linear combinations without loss of information on the conditional distribution of the response given the covariates.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
