| Can Machine Learning discover the determining factors in participation in insurance schemes? A comparative analysis | Dec 6, 2022 | Variable Selection | —Unverified | 0 |
| Catching Change-points with Lasso | Dec 1, 2007 | Variable Selection | —Unverified | 0 |
| A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics | Jun 23, 2020 | Variable Selection | —Unverified | 0 |
| Causal nearest neighbor rules for optimal treatment regimes | Nov 22, 2017 | Causal InferenceVariable Selection | —Unverified | 0 |
| CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference | Apr 7, 2024 | Causal InferenceDimensionality Reduction | —Unverified | 0 |
| APPLE: Approximate Path for Penalized Likelihood Estimators | Nov 2, 2012 | parameter estimationVariable Selection | —Unverified | 0 |
| CFD-Based Quantification of Hemodynamic Variables in Cerebral Aneurysms: How Hemodynamics Shape Aneurysm Fate | May 5, 2025 | Variable Selection | —Unverified | 0 |
| Applications of Machine Learning for the Ratemaking in Agricultural Insurances | Dec 6, 2022 | Variable Selection | —Unverified | 0 |
| Closed-form Estimators for High-dimensional Generalized Linear Models | Dec 1, 2015 | FormVariable Selection | —Unverified | 0 |
| A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups | Dec 1, 2010 | Variable Selection | —Unverified | 0 |
| A projection pursuit framework for testing general high-dimensional hypothesis | May 2, 2017 | Variable SelectionVocal Bursts Intensity Prediction | —Unverified | 0 |
| A least distance estimator for a multivariate regression model using deep neural networks | Jan 6, 2024 | regressionVariable Selection | —Unverified | 0 |
| Comparison of Machine Learning Models in Food Authentication Studies | May 17, 2019 | BIG-bench Machine LearningDimensionality Reduction | —Unverified | 0 |
| Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework | Jul 25, 2018 | PredictionPrognosis | —Unverified | 0 |
| A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition | Aug 16, 2011 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior | Mar 30, 2024 | Transfer LearningVariable Selection | —Unverified | 0 |
| Conditional independence testing with a single realization of a multivariate nonstationary nonlinear time series | Apr 30, 2025 | Causal DiscoveryTime Series | —Unverified | 0 |
| Conditional Variable Selection for Intelligent Test | Jul 1, 2022 | Variable Selection | —Unverified | 0 |
| Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression Models | Aug 14, 2013 | regressionVariable Selection | —Unverified | 0 |
| Confounder Selection via Support Intersection | Dec 25, 2019 | Variable Selection | —Unverified | 0 |
| A Statistical-Modelling Approach to Feedforward Neural Network Model Selection | Jul 9, 2022 | Model SelectionVariable Selection | —Unverified | 0 |
| Consistent selection of tuning parameters via variable selection stability | Aug 16, 2012 | regressionVariable Selection | —Unverified | 0 |
| A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection | Jun 3, 2021 | Decision MakingDimensionality Reduction | —Unverified | 0 |
| Consistent support recovery for high-dimensional diffusions | Jan 28, 2025 | Variable Selection | —Unverified | 0 |
| An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection | Jan 6, 2020 | Feature ImportanceVariable Selection | —Unverified | 0 |