Constrained $L_1$-Estimation in Linear Regression

  • Kim, Bu-Yong (Department of Statistics, Sookmyung Women's University)
  • Published : 1998.12.01

Abstract

An algorithm is proposed for the $L_1$-estimation with linear equality and inequality constraints in linear regression model. The algorithm employs a linear scaling transformation to obtain the optimal solution of linear programming type problem. And a special scheme is used to maintain the feasibility of the updated solution at each iteration. The convergence of the proposed algorithm is proved. In addition, the updating and orthogonal decomposition techniques are employed to improve the computational efficiency and numerical stability.

Keywords

References

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