Preliminary test ridge regression estimators with student’s t errors and conflicting test-statistics
The preliminary test ridge regression estimators (P T R R E) based on the Wald (W), Likelihood Ratio (L R) and Lagrangian Multiplier (L M) tests for estimating the regression parameters has been considered in this paper.
A. K. Md. E. Saleh, B. M. Golam Kibria
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Improving the Robustness of Variable Selection and Predictive Performance of Regularized Generalized Linear Models and Cox Proportional Hazard Models. [PDF]
Mathematics (Basel), 2023 Hong F, Tian L, Devanarayan V.
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GENERALIZATION ERROR BOUNDS OF DYNAMIC TREATMENT REGIMES IN PENALIZED REGRESSION-BASED LEARNING. [PDF]
Ann Stat, 2022 Oh EJ, Qian M, Cheung YK.
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A robust and efficient variable selection method for linear regression. [PDF]
J Appl Stat, 2022 Yang Z, Fu L, Wang YG, Dong Z, Jiang Y.
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Online inference in high-dimensional generalized linear models with streaming data. [PDF]
Electron J Stat, 2023 Luo L, Han R, Lin Y, Huang J.
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Testability of high-dimensional linear models with nonsparse structures. [PDF]
Ann Stat, 2022 Bradic J, Fan J, Zhu Y.
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Covariate-Adjusted Inference for Differential Analysis of High-Dimensional Networks. [PDF]
Sankhya Ser A, 2022 Hudson A, Shojaie A.
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DOUBLY DEBIASED LASSO: HIGH-DIMENSIONAL INFERENCE UNDER HIDDEN CONFOUNDING. [PDF]
Ann Stat, 2022 Guo Z, Ćevid D, Bühlmann P.
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A new linearized ridge Poisson estimator in the presence of multicollinearity. [PDF]
J Appl Stat, 2022 Jadhav NH.
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Shrinkage with shrunken shoulders: Gibbs sampling shrinkage model posteriors with guaranteed convergence rates. [PDF]
Bayesian Anal, 2023 Nishimura A, Suchard MA.
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