The following pages link to High-dimensional variable selection (Q834336):
Displaying 26 items.
- Double bias correction for high-dimensional sparse additive hazards regression with covariate measurement errors (Q6099545) (← links)
- Simultaneous test for linear model via projection (Q6106198) (← links)
- Controlling False Discovery Rate Using Gaussian Mirrors (Q6107203) (← links)
- Scalable and efficient inference via CPE (Q6107593) (← links)
- Comparing dependent undirected Gaussian networks (Q6122076) (← links)
- Inference for high‐dimensional linear models with locally stationary error processes (Q6148344) (← links)
- A generalized knockoff procedure for FDR control in structural change detection (Q6150512) (← links)
- Inference for sparse linear regression based on the leave-one-covariate-out solution path (Q6164734) (← links)
- Derandomizing Knockoffs (Q6165283) (← links)
- A stable and adaptive polygenic signal detection method based on repeated sample splitting (Q6490387) (← links)
- Testing the differential network between two gaussian graphical models with false discovery rate control (Q6552575) (← links)
- Two-sample mean vector projection test in high-dimensional data (Q6567438) (← links)
- A Two-Sample Conditional Distribution Test Using Conformal Prediction and Weighted Rank Sum (Q6567908) (← links)
- Multiple hypothesis testing for variable selection (Q6569948) (← links)
- Support recovery of Gaussian graphical model with false discovery rate control (Q6594996) (← links)
- A three-stage approach to identify biomarker signatures for cancer genetic data with survival endpoints (Q6596729) (← links)
- Cross projection test for mean vectors via multiple random splits in high dimensions (Q6615377) (← links)
- Feature-specific inference for penalized regression using local false discovery rates (Q6617496) (← links)
- A hierarchical integrative group least absolute shrinkage and selection operator for analyzing environmental mixtures (Q6617835) (← links)
- Selection of nonlinear interactions by a forward stepwise algorithm: application to identifying environmental chemical mixtures affecting health outcomes (Q6625981) (← links)
- Effect modification in anchored indirect treatment comparison: comments on ``Matching-adjusted indirect comparisons: application to time-to-event data'' (Q6626810) (← links)
- A binary hidden Markov model on spatial network for amyotrophic lateral sclerosis disease spreading pattern analysis (Q6628085) (← links)
- Analyzing risk factors for post-acute recovery in older adults with Alzheimer's disease and related dementia: a new semi-parametric model for large-scale medicare claims (Q6630343) (← links)
- A sequential rejection testing method for high-dimensional regression with correlated variables (Q6632724) (← links)
- A Factor-Adjusted Multiple Testing Procedure With Application to Mutual Fund Selection (Q6634849) (← links)
- Two-part quantile regression models for semi-continuous longitudinal data: a finite mixture approach (Q6665012) (← links)
