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Variable Selection

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TitleStatusHype
Heteroscedastic Double Bayesian Elastic Net—0
Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant—0
Controlling false discoveries in high-dimensional situations: Boosting with stability selection—0
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis—0
High-Dimensional Screening Using Multiple Grouping of Variables—0
Asymptotic equivalence of regularization methods in thresholded parameter space—0
Asymptotic Behavior of Adversarial Training Estimator under _-Perturbation—0
High-dimensional Ordinary Least-squares Projection for Screening Variables—0
Inference in High Dimensions with the Penalized Score Test—0
High Dimensional Binary Choice Model with Unknown Heteroskedasticity or Instrumental Variables—0
High dimensional thresholded regression and shrinkage effect—0
Hybrid Reinforcement Learning Framework for Mixed-Variable Problems—0
Hyperspectral-Multispectral Image Fusion with Weighted LASSO—0
Identifying Genetic Risk Factors via Sparse Group Lasso with Group Graph Structure—0
Identifying relevant positions in proteins by Critical Variable Selection—0
Identifying spatial interdependence in panel data with large N and small T—0
Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning—0
Improved joint modelling of breast cancer radiomics features and hazard by image registration aided longitudinal CT data—0
Cross-Validated Variable Selection in Tree-Based Methods Improves Predictive Performance—0
Improving Gibbs Sampler Scan Quality with DoGS—0
Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery—0
Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models—0
Improving the Predictive Performances of k Nearest Neighbors Learning by Efficient Variable Selection—0
Data-driven forecasting of solar irradiance—0
Inference of Multiscale Gaussian Graphical Model—0
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