Score Tests With Incomplete Covariates and High-Dimensional Auxiliary Variables
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Publication:6069879
DOI10.5705/ss.202021.0253MaRDI QIDQ6069879
Publication date: 17 November 2023
Published in: Statistica Sinica (Search for Journal in Brave)
Cites Work
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- Sure independence screening in generalized linear models with NP-dimensionality
- On asymptotically optimal confidence regions and tests for high-dimensional models
- Exact post-selection inference, with application to the Lasso
- Valid post-selection inference
- A general theory of hypothesis tests and confidence regions for sparse high dimensional models
- Two-phase outcome-dependent studies for failure times and testing for effects of expensive covariates
- Valid post-selection inference in model-free linear regression
- Valid confidence intervals for post-model-selection predictors
- A User's Guide to Measure Theoretic Probability
- Post-Selection Inference Following Aggregate Level Hypothesis Testing in Large-Scale Genomic Data
- Score tests for association under response-dependent sampling designs for expensive covariates
- Logistic disease incidence models and case-control studies
- Selective inference with unknown variance via the square-root lasso
- Sure Independence Screening for Ultrahigh Dimensional Feature Space
- Statistical Analysis with Missing Data, Third Edition
- Post‐selection inference for ‐penalized likelihood models
- Robust Score Tests With Missing Data in Genomics Studies
- Confidence Intervals for Low Dimensional Parameters in High Dimensional Linear Models
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