Tom Michoel

Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net

The lasso and elastic net linear regression models impose a double-exponential prior distribution on the model parameters to achieve regression shrinkage and variable selection, allowing the inference of robust models from large data sets. However, there has been limited success in deriving esti…