A globally convergent algorithm for lasso-penalized mixture of linear regression models

Luke R. Lloyd-Jones, Hien D. Nguyen, Geoffrey J. McLachlan

Variable selection is an old and pervasive problem in regression analysis. One solution is to impose a lasso penalty to shrink parameter estimates toward zero and perform continuou…