Code and Data Repository for Outlier detection in regression: Conic quadratic formulations

The goal of this software is to demonstrate the use of mixed-integer conic quadratic formulations to detect outliers in regression problems (closely related to the Least Trimmed Squares problem in statistics). The methods are implemented in Java and rely on commercial solvers Gurobi and Mosek. Executing the code requires a license for these solvers.