Adaptive Shrinkage with a Nonparametric Bayesian Lasso
Adaptive Shrinkage with a Nonparametric Bayesian Lasso
Modern approaches to perform Bayesian variable selection rely mostly on the use of shrinkage priors. That said, an ideal shrinkage prior should be adaptive to different signal levels, ensuring that small effects are ruled out, while keeping relatively intact the important ones. With this task in mind, we develop the …