Bayesian Variable Selection

As datasets grow, identifying key predictors remains a challenge. The LASSO is one method commonly used to perform simultaneous shrinkage and selection, but are you aware of the drawbacks? Bayesian Stochastic Search Variable Selection provides a more robust approach and can easily be applied to applications with incomplete data.