Parameter Selection of Robust Weighted SCAD Model Under Density Power Divergence
Author:
Affiliation:
1. College of Mathematics and Systems Science, Shandong University of Science and Technology, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3654823.3654892
Reference18 articles.
1. Ghosh A Majumdar S.Ultrahigh-dimensional Robust and Efficient Sparse Regression using Non-Concave Penalized Density Power Divergence[J]. 2018.
2. Robust and efficient estimation by minimising a density power divergence
3. Alessandra Durio Ennio Davide Isaia The Minimum Density Power Divergence Approach in Building Robust Regression Models Informatica 22(2011).
4. Mandal A Beyaztas B H Bandyopadhyay S .Robust Density Power Divergence Estimates for Panel Data Models[J]. 2021.
5. Ghosh A Martin N Pardo L.Robust adaptive variable selection in ultra-high dimensional regression models based on the density power divergence loss[J]. 2020.
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