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Variable Selection

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Showing 376–400 of 566 papers

TitleStatusHype
The Adaptive τ-Lasso: Robustness and Oracle Properties—0
The Bayesian SLOPE—0
The Best Path Algorithm automatic variables selection via High Dimensional Graphical Models—0
The column measure and Gradient-Free Gradient Boosting—0
The Conditional Prediction Function: A Novel Technique to Control False Discovery Rate for Complex Models—0
The Discrete Dantzig Selector: Estimating Sparse Linear Models via Mixed Integer Linear Optimization—0
The evolution of carrying capacity in constrained and expanding tumour cell populations—0
The Informed Elastic Net for Fast Grouped Variable Selection and FDR Control in Genomics Research—0
The Knowledge Graph for Macroeconomic Analysis with Alternative Big Data—0
The Mismatch Principle: The Generalized Lasso Under Large Model Uncertainties—0
The mRMR variable selection method: a comparative study for functional data—0
The Terminating-Random Experiments Selector: Fast High-Dimensional Variable Selection with False Discovery Rate Control—0
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation—0
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees—0
Training Auto-encoders Effectively via Eliminating Task-irrelevant Input Variables—0
Transfer learning for tensor Gaussian graphical models—0
Transformer Learns Optimal Variable Selection in Group-Sparse Classification—0
Two-part hidden Markov models for semicontinuous longitudinal data with nonignorable missing covariates—0
Two-Stage Robust and Sparse Distributed Statistical Inference for Large-Scale Data—0
Unbiased split variable selection for random survival forests using maximally selected rank statistics—0
Understanding Implicit Regularization in Over-Parameterized Single Index Model—0
Unobserved classes and extra variables in high-dimensional discriminant analysis—0
Variable-Complexity Weighted-Tempered Gibbs Samplers for Bayesian Variable Selection—0
Variable Selection for Causal Inference via Outcome-Adaptive Random Forest—0
Variable selection for clustering with Gaussian mixture models: state of the art—0
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