MD Inference - Dimension Reduction Variable Selection and Sparsity

This working group will be working on methodology to do (possibly sparse) dimension reduction or variable selection in massive datsets. Our main objective is to create methodology for all the aspects of problem including classic multivariate regression and classification problems, quantile regression, functional regression, regression with measurement error.