| Transfer learning for tensor Gaussian graphical models | Nov 17, 2022 | Functional ConnectivityOpen-Ended Question Answering | —Unverified | 0 | 0 |
| Transformer Learns Optimal Variable Selection in Group-Sparse Classification | Apr 11, 2025 | Variable Selection | —Unverified | 0 | 0 |
| Two-part hidden Markov models for semicontinuous longitudinal data with nonignorable missing covariates | Jan 31, 2020 | Variable Selection | —Unverified | 0 | 0 |
| Two-Stage Robust and Sparse Distributed Statistical Inference for Large-Scale Data | Aug 17, 2022 | Model SelectionVariable Selection | —Unverified | 0 | 0 |
| Unbiased split variable selection for random survival forests using maximally selected rank statistics | May 11, 2016 | Selection biasSurvival Prediction | —Unverified | 0 | 0 |
| Understanding Implicit Regularization in Over-Parameterized Single Index Model | Jul 16, 2020 | Variable Selection | —Unverified | 0 | 0 |
| Unobserved classes and extra variables in high-dimensional discriminant analysis | Feb 3, 2021 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Variable-Complexity Weighted-Tempered Gibbs Samplers for Bayesian Variable Selection | Apr 6, 2023 | Variable Selection | —Unverified | 0 | 0 |
| Variable Selection for Causal Inference via Outcome-Adaptive Random Forest | Sep 9, 2021 | Causal InferenceVariable Selection | —Unverified | 0 | 0 |
| Variable selection for clustering with Gaussian mixture models: state of the art | Jan 31, 2017 | ClusteringVariable Selection | —Unverified | 0 | 0 |
