Pages that link to "Item:Q373525"
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The following pages link to Statistical significance in high-dimensional linear models (Q373525):
Displaying 45 items.
- Rejoinder: ``A significance test for the lasso'' (Q2249839) (← links)
- High-dimensional variable screening and bias in subsequent inference, with an empirical comparison (Q2259726) (← links)
- A global homogeneity test for high-dimensional linear regression (Q2263711) (← links)
- Bootstrapping and sample splitting for high-dimensional, assumption-lean inference (Q2284380) (← links)
- Predictor ranking and false discovery proportion control in high-dimensional regression (Q2418511) (← links)
- Some improved estimation strategies in high-dimensional semiparametric regression models with application to riboflavin production data (Q2423185) (← links)
- Most powerful test against a sequence of high dimensional local alternatives (Q2697980) (← links)
- Variable selection using stepdown procedures in high-dimensional linear models (Q2833627) (← links)
- Tests for Coefficients in High-dimensional Additive Hazard Models (Q2949866) (← links)
- <i>p</i>-Values for High-Dimensional Regression (Q3069897) (← links)
- Linear Hypothesis Testing in Dense High-Dimensional Linear Models (Q3121181) (← links)
- Statistical proof? The problem of irreproducibility (Q4598014) (← links)
- Goodness-of-Fit Tests for High Dimensional Linear Models (Q4603816) (← links)
- Bias corrected regularization kernel method in ranking (Q4615656) (← links)
- On the accuracy in high‐dimensional linear models and its application to genomic selection (Q4629284) (← links)
- (Q4637042) (← links)
- A Bayesian approach with generalized ridge estimation for high-dimensional regression and testing (Q4638806) (← links)
- Testing for Inequality Constraints in Singular Models by Trimming or Winsorizing the Variance Matrix (Q4962455) (← links)
- (Q4999036) (← links)
- Using Improved Robust Estimators to Semiparametric Model with High Dimensional Data (Q5050416) (← links)
- Permutation testing in high-dimensional linear models: an empirical investigation (Q5065260) (← links)
- A Bootstrap Lasso + Partial Ridge Method to Construct Confidence Intervals for Parameters in High-dimensional Sparse Linear Models (Q5134479) (← links)
- A Sequential Significance Test for Treatment by Covariate Interactions (Q5155191) (← links)
- Selection-Corrected Statistical Inference for Region Detection With High-Throughput Assays (Q5242481) (← links)
- A significance test for graph‐constrained estimation (Q5739274) (← links)
- Markov Neighborhood Regression for High-Dimensional Inference (Q5881128) (← links)
- Discussion: ``A significance test for the lasso'' (Q5970923) (← links)
- Discussion: ``A significance test for the lasso'' (Q5970924) (← links)
- Discussion: ``A significance test for the lasso'' (Q5970925) (← links)
- Discussion: ``A significance test for the lasso'' (Q5970926) (← links)
- Discussion: ``A significance test for the lasso'' (Q5970927) (← links)
- A new test for high‐dimensional regression coefficients in partially linear models (Q6059428) (← links)
- Connectivity‐informed adaptive regularization for generalized outcomes (Q6059500) (← links)
- Globaltest confidence regions and their application to ridge regression (Q6064180) (← links)
- Scalable and efficient inference via CPE (Q6107593) (← links)
- Statistical Inference for High-Dimensional Generalized Linear Models With Binary Outcomes (Q6110021) (← links)
- Generalized matrix decomposition regression: estimation and inference for two-way structured data (Q6138615) (← links)
- Inference for high‐dimensional linear models with locally stationary error processes (Q6148344) (← links)
- Culling the Herd of Moments with Penalized Empirical Likelihood (Q6190692) (← links)
- Enmsp: an elastic-net multi-step screening procedure for high-dimensional regression (Q6494423) (← links)
- Higher-Order Least Squares: Assessing Partial Goodness of Fit of Linear Causal Models (Q6567897) (← links)
- A three-stage approach to identify biomarker signatures for cancer genetic data with survival endpoints (Q6596729) (← links)
- Markov neighborhood regression for statistical inference of high-dimensional generalized linear models (Q6628530) (← links)
- A sequential rejection testing method for high-dimensional regression with correlated variables (Q6632724) (← links)
- Uncertainty Quantification for High-Dimensional Sparse Nonparametric Additive Models (Q6636572) (← links)
