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Variable Selection

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Showing 51–100 of 566 papers

TitleStatusHype
The Informed Elastic Net for Fast Grouped Variable Selection and FDR Control in Genomics Research—0
Solving FDR-Controlled Sparse Regression Problems with Five Million Variables on a Laptop—0
Fractional Naive Bayes (FNB): non-convex optimization for a parsimonious weighted selective naive Bayes classifier—0
Comorbid anxiety predicts lower odds of depression improvement during smartphone-delivered psychotherapyCode0
Model-independent variable selection via the rule-based variable priority—0
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning—0
Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes—0
Credit Ratings: Heterogeneous Effect on Capital Structure—0
Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression—0
International Trade Flow Prediction with Bilateral Trade Provisions—0
VICatMix: variational Bayesian clustering and variable selection for discrete biomedical dataCode0
Sparse-Group Boosting with Balanced Selection Frequencies: A Simulation-Based Approach and R ImplementationCode0
Hybrid Reinforcement Learning Framework for Mixed-Variable Problems—0
Fast leave-one-cluster-out cross-validation using clustered Network Information Criterion (NICc)—0
Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection—0
Optimal Bias-Correction and Valid Inference in High-Dimensional Ridge Regression: A Closed-Form Solution—0
Probabilistic forecasting of power system imbalance using neural network-based ensembles—0
CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference—0
DeepLINK-T: deep learning inference for time series data using knockoffs and LSTMCode0
Predictive Analytics of Varieties of PotatoesCode0
Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior—0
Statistical Mechanics of Dynamical System Identification—0
A network-constrain Weibull AFT model for biomarkers discovery—0
Penalized Generative Variable Selection—0
Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models—0
kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection—0
Data-driven model selection within the matrix completion method for causal panel data models—0
Variable selection for Naïve Bayes classification—0
Asymptotic Behavior of Adversarial Training Estimator under _-Perturbation—0
High-dimensional forecasting with known knowns and known unknownsCode0
Information-Theoretic State Variable Selection for Reinforcement LearningCode0
False Discovery Rate Control for Gaussian Graphical Models via Neighborhood Screening—0
Sparse PCA with False Discovery Rate Controlled Variable Selection—0
Semi-Supervised Deep Sobolev Regression: Estimation and Variable Selection by ReQU Neural Network—0
A least distance estimator for a multivariate regression model using deep neural networks—0
Detection of evolutionary shifts in variance under an Ornsten-Uhlenbeck modelCode0
Variable Selection in High Dimensional Linear Regressions with Parameter InstabilityCode0
Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines—0
Random Forest Variable Importance-based Selection Algorithm in Class Imbalance Problem—0
Economic Forecasts Using Many Noises—0
A deep learning pipeline for cross-sectional and longitudinal multiview data integrationCode0
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks—0
Co-data Learning for Bayesian Additive Regression TreesCode0
Data-Driven Bayesian Network Models of Hurricane Evacuation Decision Making—0
High Dimensional Binary Choice Model with Unknown Heteroskedasticity or Instrumental Variables—0
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective—0
Variable Selection in Maximum Mean Discrepancy for Interpretable Distribution Comparison—0
Sparse high-dimensional linear mixed modeling with a partitioned empirical Bayes ECM algorithm—0
Non-parametric Conditional Independence Testing for Mixed Continuous-Categorical Variables: A Novel Method and Numerical EvaluationCode0
The Conditional Prediction Function: A Novel Technique to Control False Discovery Rate for Complex Models—0
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