Pages that link to "Item:Q524454"

The following pages link to A general theory of hypothesis tests and confidence regions for sparse high dimensional models (Q524454):

Displaying 50 items.

• Discussion of “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression” (Q5146022) (← links)
• Rejoinder to “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression” (Q5146024) (← links)
• Fixed Effects Testing in High-Dimensional Linear Mixed Models (Q5146037) (← links)
• Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model (Q5146054) (← links)
• A Sequential Significance Test for Treatment by Covariate Interactions (Q5155191) (← links)
• Taylor quasi-likelihood for limited generalized linear models (Q5861540) (← links)
• A Cross-Validated Ensemble Approach to Robust Hypothesis Testing of Continuous Nonlinear Interactions: Application to Nutrition-Environment Studies (Q5885081) (← links)
• Model Selection of Generalized Estimating Equation With Divergent Model Size (Q6039870) (← links)
• New Tests for High-Dimensional Linear Regression Based on Random Projection (Q6039886) (← links)
• Targeted Inference Involving High-Dimensional Data Using Nuisance Penalized Regression (Q6044635) (← links)
• On high-dimensional Poisson models with measurement error: hypothesis testing for nonlinear nonconvex optimization (Q6046310) (← links)
• Doubly robust tests of exposure effects under high‐dimensional confounding (Q6047756) (← links)
• Statistical inference for Cox proportional hazards models with a diverging number of covariates (Q6049750) (← links)
• Generalized linear models with structured sparsity estimators (Q6054394) (← links)
• Missing data analysis with sufficient dimension reduction (Q6059465) (← links)
• Inducement of population sparsity (Q6059471) (← links)
• Score Tests With Incomplete Covariates and High-Dimensional Auxiliary Variables (Q6069879) (← links)
• A weak‐signal‐assisted procedure for variable selection and statistical inference with an informative subsample (Q6076512) (← links)
• Debiased lasso for generalized linear models with a diverging number of covariates (Q6079870) (← links)
• Double bias correction for high-dimensional sparse additive hazards regression with covariate measurement errors (Q6099545) (← links)
• Bootstrapping some GLM and survival regression variable selection estimators (Q6106216) (← links)
• Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension (Q6107209) (← links)
• Statistical Inference for High-Dimensional Generalized Linear Models With Binary Outcomes (Q6110021) (← links)
• Testing Mediation Effects Using Logic of Boolean Matrices (Q6110717) (← links)
• Integrative Factor Regression and Its Inference for Multimodal Data Analysis (Q6110734) (← links)
• High-dimensional robust inference for censored linear models (Q6131291) (← links)
• Generalized matrix decomposition regression: estimation and inference for two-way structured data (Q6138615) (← links)
• Retire: robust expectile regression in high dimensions (Q6150528) (← links)
• Optimal decorrelated score subsampling for generalized linear models with massive data (Q6151833) (← links)
• Penalized estimating equations for generalized linear models with multiple imputation (Q6179132) (← links)
• Statistical performance of quantile tensor regression with convex regularization (Q6189146) (← links)
• Culling the Herd of Moments with Penalized Empirical Likelihood (Q6190692) (← links)
• Communication‐efficient low‐dimensional parameter estimation and inference for high‐dimensional Lp$$ {L}^p $$‐quantile regression (Q6196804) (← links)
• Sequential pathway inference for multimodal neuroimaging analysis (Q6543848) (← links)
• Asymptotic bias of the \(\ell_2\)-regularized error variance estimator (Q6548541) (← links)
• Inference for heteroskedastic PCA with missing data (Q6550970) (← links)
• A Random Projection Approach to Hypothesis Tests in High-Dimensional Single-Index Models (Q6567896) (← links)
• Test of Significance for High-Dimensional Thresholds with Application to Individualized Minimal Clinically Important Difference (Q6567935) (← links)
• Decorrelated empirical likelihood for generalized linear models with high-dimensional longitudinal data (Q6580268) (← links)
• False discovery rate control for high-dimensional Cox model with uneven data splitting (Q6586554) (← links)
• Relative contrast estimation and inference for treatment recommendation (Q6589230) (← links)
• Ensuring valid inference for Cox hazard ratios after variable selection (Q6589253) (← links)
• Two-stage online debiased Lasso estimation and inference for high-dimensional quantile regression with streaming data (Q6595025) (← links)
• Reconciling model-X and doubly robust approaches to conditional independence testing (Q6608673) (← links)
• Overview of research advance for knockoff methods (Q6615097) (← links)
• Weighted likelihood transfer learning for high-dimensional generalized linear models (Q6618198) (← links)
• One-step regularized estimator for high-dimensional regression models (Q6621326) (← links)
• Principled selection of baseline covariates to account for censoring in randomized trials with a survival endpoint (Q6628429) (← links)
• Communication-efficient estimation and inference for high-dimensional quantile regression based on smoothed decorrelated score (Q6629356) (← 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)