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Variable Selection

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TitleStatusHype
Can Machine Learning discover the determining factors in participation in insurance schemes? A comparative analysis—0
Catching Change-points with Lasso—0
A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics—0
Causal nearest neighbor rules for optimal treatment regimes—0
CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference—0
APPLE: Approximate Path for Penalized Likelihood Estimators—0
CFD-Based Quantification of Hemodynamic Variables in Cerebral Aneurysms: How Hemodynamics Shape Aneurysm Fate—0
Applications of Machine Learning for the Ratemaking in Agricultural Insurances—0
Closed-form Estimators for High-dimensional Generalized Linear Models—0
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups—0
Citywide Electric Vehicle Charging Demand Prediction Approach Considering Urban Region and Dynamic Influences—0
A least distance estimator for a multivariate regression model using deep neural networks—0
Comparison of Machine Learning Models in Food Authentication Studies—0
Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework—0
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition—0
Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior—0
Conditional independence testing with a single realization of a multivariate nonstationary nonlinear time series—0
Conditional Variable Selection for Intelligent Test—0
Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression Models—0
Confounder Selection via Support Intersection—0
A Statistical-Modelling Approach to Feedforward Neural Network Model Selection—0
Consistent selection of tuning parameters via variable selection stability—0
A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection—0
Consistent support recovery for high-dimensional diffusions—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
An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection—0
A Theory of Dichotomous Valuation with Applications to Variable Selection—0
Adaptive Bayesian Sum of Trees Model for Covariate Dependent Spectral Analysis—0
Developing an ICU scoring system with interaction terms using a genetic algorithm—0
Differentially Private Variable Selection via the Knockoff Filter—0
Cross-Validated Variable Selection in Tree-Based Methods Improves Predictive Performance—0
Credit Ratings: Heterogeneous Effect on Capital Structure—0
Asymptotic properties for combined L_1 and concave regularization—0
Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models—0
Data-driven forecasting of solar irradiance—0
Data-Driven Constitutive Relation Reveals Scaling Law for Hydrodynamic Transport Coefficients—0
Data-driven model selection within the matrix completion method for causal panel data models—0
Data Mining using Unguided Symbolic Regression on a Blast Furnace Dataset—0
Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks—0
DECOrrelated feature space partitioning for distributed sparse regression—0
Decoupling Shrinkage and Selection for the Bayesian Quantile Regression—0
Deep Inception Networks: A General End-to-End Framework for Multi-asset Quantitative Strategies—0
A Unified Framework for Sparse Relaxed Regularized Regression: SR3—0
Deep Learning: A Bayesian Perspective—0
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random—0
Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems—0
Automatic Identification of Twin Zygosity in Resting-State Functional MRI—0
Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch—0
An ADMM approach for multi-response regression with overlapping groups and interaction effects—0
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