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Variable Selection

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Showing 76–100 of 566 papers

TitleStatusHype
Credit Ratings: Heterogeneous Effect on Capital Structure—0
Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression—0
VICatMix: variational Bayesian clustering and variable selection for discrete biomedical dataCode0
International Trade Flow Prediction with Bilateral Trade Provisions—0
Sparse-Group Boosting with Balanced Selection Frequencies: A Simulation-Based Approach and R ImplementationCode0
Fast leave-one-cluster-out cross-validation using clustered Network Information Criterion (NICc)—0
Hybrid Reinforcement Learning Framework for Mixed-Variable Problems—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
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