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Variable Selection

Papers

Showing 5175 of 566 papers

TitleStatusHype
Comorbid anxiety predicts lower odds of depression improvement during smartphone-delivered psychotherapyCode0
Flexible mean field variational inference using mixtures of non-overlapping exponential familiesCode0
AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data AlignmentCode0
Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends!Code0
Accuracy and stability of solar variable selection comparison under complicated dependence structuresCode0
Grouped Variable Selection for Generalized Eigenvalue ProblemsCode0
Handling bounded response in high dimensions: a Horseshoe prior Bayesian Beta regression approachCode0
Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regressionCode0
A sparse negative binomial mixture model for clustering RNA-seq count dataCode0
High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and rankingCode0
Improving SAT Solvers via Blocked Clause DecompositionCode0
Inference for High Dimensional Censored Quantile RegressionCode0
Accurate Dictionary Learning with Direct Sparsity ControlCode0
Co-data Learning for Bayesian Additive Regression TreesCode0
Computationally Efficient High-Dimensional Bayesian Optimization via Variable SelectionCode0
Bolasso: model consistent Lasso estimation through the bootstrapCode0
Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic PerspectiveCode0
Boosting Joint Models for Longitudinal and Time-to-Event DataCode0
Bayesian Cox model with graph-structured variable selection priors for multi-omics biomarker identificationCode0
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic netCode0
Causal Feature Learning in the Social SciencesCode0
Characterizing the SLOPE Trade-off: A Variational Perspective and the Donoho-Tanner LimitCode0
Combinatorial Bayesian Optimization using the Graph Cartesian ProductCode0
AutoScore-Ordinal: An interpretable machine learning framework for generating scoring models for ordinal outcomesCode0
Importance of spatial predictor variable selection in machine learning applications -- Moving from data reproduction to spatial predictionCode0
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