The following pages link to Valid post-selection inference (Q355109):
Displaying 46 items.
- Markov Neighborhood Regression for High-Dimensional Inference (Q5881128) (← links)
- Targeted Inference Involving High-Dimensional Data Using Nuisance Penalized Regression (Q6044635) (← links)
- Integrative Bayesian Models Using Post-Selective Inference: A Case Study in Radiogenomics (Q6055751) (← links)
- Cellwise outlier detection with false discovery rate control (Q6059406) (← links)
- A structured brain‐wide and genome‐wide association study using ADNI PET images (Q6059497) (← links)
- Unlucky Number 13? Manipulating Evidence Subject to Snooping (Q6067589) (← links)
- Score Tests With Incomplete Covariates and High-Dimensional Auxiliary Variables (Q6069879) (← links)
- (Q6073212) (← links)
- (Q6073214) (← links)
- Inference for low‐ and high‐dimensional inhomogeneous Gibbs point processes (Q6073438) (← links)
- Uniformly valid inference based on the Lasso in linear mixed models (Q6074746) (← links)
- Mixed-effect models with trees (Q6106172) (← links)
- Filtering the Rejection Set While Preserving False Discovery Rate Control (Q6107198) (← links)
- Controlling False Discovery Rate Using Gaussian Mirrors (Q6107203) (← links)
- A Normality Test for High-dimensional Data Based on the Nearest Neighbor Approach (Q6107242) (← links)
- Scalable and efficient inference via CPE (Q6107593) (← links)
- Kernel Ordinary Differential Equations (Q6110694) (← links)
- Heterogeneous heterogeneity by default: Testing categorical moderators in mixed‐effects meta‐analysis (Q6127094) (← links)
- Distributionally robust and generalizable inference (Q6145146) (← links)
- An evolutionary estimation procedure for generalized semilinear regression trees (Q6148396) (← links)
- Penalized estimation of a class of single‐index varying‐coefficient models for integrative genomic analysis (Q6149254) (← links)
- Bounds in \(L^1\) Wasserstein distance on the normal approximation of general M-estimators (Q6158227) (← links)
- Forward-selected panel data approach for program evaluation (Q6163247) (← links)
- Neighborhood-based cross fitting approach to treatment effects with high-dimensional data (Q6170545) (← links)
- Empirical likelihood based tests for detecting the presence of significant predictors in marginal quantile regression (Q6175797) (← links)
- Post-selection inference via algorithmic stability (Q6183754) (← links)
- Approximate Selective Inference via Maximum Likelihood (Q6185576) (← links)
- A (tight) upper bound for the length of confidence intervals with conditional coverage (Q6546435) (← links)
- Forward stability and model path selection (Q6547741) (← links)
- Confidently Comparing Estimates with the c-value (Q6567894) (← links)
- Exact post-selection inference for adjusted R squared selection (Q6580266) (← links)
- Ensuring valid inference for Cox hazard ratios after variable selection (Q6589253) (← links)
- Sparse estimation in semiparametric finite mixture of varying coefficient regression models (Q6589289) (← links)
- Trade-off between predictive performance and FDR control for high-dimensional Gaussian model selection (Q6595785) (← links)
- Projection-based techniques for high-dimensional optimal transport problems (Q6602009) (← links)
- Integrative analysis of `-omics' data using penalty functions (Q6604445) (← links)
- Locally simultaneous inference (Q6608687) (← links)
- A comparison of full model specification and backward elimination of potential confounders when estimating marginal and conditional causal effects on binary outcomes from observational data (Q6625330) (← links)
- Asymptotically Uniform Tests After Consistent Model Selection in the Linear Regression Model (Q6626357) (← links)
- Efficient interaction selection for clustered data via stagewise generalized estimating equations (Q6627550) (← links)
- Confounder selection strategies targeting stable treatment effect estimators (Q6627915) (← links)
- Markov neighborhood regression for statistical inference of high-dimensional generalized linear models (Q6628530) (← links)
- Comments on “Unobservable Selection and Coefficient Stability: Theory and Evidence” and “Poorly Measured Confounders are More Useful on the Left Than on the Right” (Q6634855) (← links)
- Post-model-selection prediction intervals for generalized linear models (Q6648803) (← links)
- Discovery and Inference of a Causal Network with Hidden Confounding (Q6651361) (← links)
- Prediction intervals with controlled length in the heteroscedastic Gaussian regression (Q6667623) (← links)
