Predictor-dependent shrinkage for linear regression via partial factor modeling

P. Richard Hahn, Sayan Mukherjee, Carlos Carvalho

In prediction problems with more predictors than observations, it can sometimes be helpful to use a joint probability model, $\pi (Y,X)$, rather than a purely conditional model, $π(Y…