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Variable Selection

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Showing 201–250 of 566 papers

TitleStatusHype
False Discovery Rate Control for Gaussian Graphical Models via Neighborhood Screening—0
False Discovery Rate Control via Debiased Lasso—0
Fast, Optimal, and Targeted Predictions using Parametrized Decision Analysis—0
Can Machine Learning discover the determining factors in participation in insurance schemes? A comparative analysis—0
An ADMM approach for multi-response regression with overlapping groups and interaction effects—0
Counterfactual Generation with Knockoffs—0
A Multi-objective Exploratory Procedure for Regression Model Selection—0
Fast leave-one-cluster-out cross-validation using clustered Network Information Criterion (NICc)—0
Fast Multi-Class Probabilistic Classifier by Sparse Non-parametric Density Estimation—0
Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with the Ordered l1-Norm—0
Forward variable selection enables fast and accurate dynamic system identification with Karhunen-Loève decomposed Gaussian processes—0
Feature and Variable Selection in Classification—0
Bayesian forecast combination using time-varying features—0
Feature selection in functional data classification with recursive maxima hunting—0
Feature Selection through Minimization of the VC dimension—0
Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes—0
Federated Data Analytics: A Study on Linear Models—0
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression—0
Heteroscedastic Double Bayesian Elastic Net—0
Flexible co-data learning for high-dimensional prediction—0
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups—0
Flexible shrinkage in high-dimensional Bayesian spatial autoregressive models—0
A projection pursuit framework for testing general high-dimensional hypothesis—0
A convex formulation for high-dimensional sparse sliced inverse regression—0
Fractional Naive Bayes (FNB): non-convex optimization for a parsimonious weighted selective naive Bayes classifier—0
Fréchet regression with implicit denoising and multicollinearity reduction—0
Comparison of Machine Learning Models in Food Authentication Studies—0
Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Genomic Data—0
Fuzzy clustering of distribution-valued data using adaptive L2 Wasserstein distances—0
GAM(L)A: An econometric model for interpretable Machine Learning—0
Generalization Guarantees for Learning Branch-and-Cut Policies in Integer Programming—0
Generalized Sparse Additive Model with Unknown Link Function—0
Global sensitivity analysis for optimization with variable selection—0
Glucose values prediction five years ahead with a new framework of missing responses in reproducing kernel Hilbert spaces, and the use of continuous glucose monitoring technology—0
Gradient-based kernel method for feature extraction and variable selection—0
Gradient Boosting for Spatial Regression Models with Autoregressive Disturbances—0
Conditional Variable Selection for Intelligent Test—0
Greedy Active Learning Algorithm for Logistic Regression Models—0
Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression Models—0
Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors—0
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction—0
Confounder Selection via Support Intersection—0
A Statistical-Modelling Approach to Feedforward Neural Network Model Selection—0
Grouping effects of sparse CCA models in variable selection—0
Group Regularized Estimation under Structural Hierarchy—0
Group Sparse Additive Machine—0
Group-sparse SVD Models and Their Applications in Biological Data—0
A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection—0
Harnessing the Potential of Volatility: Advancing GDP Prediction—0
Correlation scenarios and correlation stress testing—0
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