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A Fixed Point Iterative Algorithm for Concave Penalized Linear Regression Model

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摘要 This paper concerns computational problems of the concave penalized linear regression model.We propose a fixed point iterative algorithm to solve the computational problem based on the fact that the penalized estimator satisfies a fixed point equation.The convergence property of the proposed algorithm is established.Numerical studies are conducted to evaluate the finite sample performance of the proposed algorithm.
出处 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2021年第4期324-330,共7页 武汉大学学报(自然科学英文版)
基金 Supported by the National Natural Science Foundation of China(11701571)
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