Conditional calibration for false discovery rate control under dependence
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Publication:2112799
DOI10.1214/21-AOS2137MaRDI QIDQ2112799
Publication date: 12 January 2023
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2007.10438
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Uses Software
Cites Work
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- Exceedance Control of the False Discovery Proportion
- Exact post-selection inference, with application to the Lasso
- Optimal false discovery rate control for dependent data
- On the Benjamini-Hochberg method
- Controlling the false discovery rate via knockoffs
- On control of the false discovery rate under no assumption of dependency
- Control of the false discovery rate under dependence using the bootstrap and subsampling
- More powerful control of the false discovery rate under dependence
- Control of directional errors with stagewise multiple test procedures
- The positive false discovery rate: A Bayesian interpretation and the \(q\)-value
- Stepwise multiple test procedures and control of directional errors
- Resampling-based false discovery rate controlling multiple test procedures for correlated test statistics.
- The control of the false discovery rate in multiple testing under dependency.
- Some results on false discovery rate in stepwise multiple testing procedures.
- Controlling the number of false discoveries: application to high-dimensional genomic data
- A stochastic process approach to false discovery control.
- Two simple sufficient conditions for FDR control
- Optimal weighting for false discovery rate control
- Stepwise normal theory multiple test procedures controlling the false discovery rate
- New procedures controlling the false discovery proportion via Romano-Wolf's heuristic
- Exact calculations for false discovery proportion with application to least favorable configura\-tions
- Further results on controlling the false discovery proportion
- Generalizations of the familywise error rate
- Adaptive FDR control under independence and dependence
- Large-Scale Multiple Testing under Dependence
- Multiple Testing with the Structure-Adaptive Benjamini–Hochberg Algorithm
- Adaptive linear step-up procedures that control the false discovery rate
- False discovery control with p-value weighting
- Optimal multiple testing under a Gaussian prior on the effect sizes
- Screening for Partial Conjunction Hypotheses
- Oracle and Adaptive Compound Decision Rules for False Discovery Rate Control
- Multiple Hypotheses Testing with Weights
- Estimating False Discovery Proportion Under Arbitrary Covariance Dependence
- False Discovery Control for Random Fields
- Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach
- A Direct Approach to False Discovery Rates
- Operating Characteristics and Extensions of the False Discovery Rate Procedure
- Selection Adjusted Confidence Intervals With More Power to Determine the Sign
- Panning for Gold: ‘Model-X’ Knockoffs for High Dimensional Controlled Variable Selection
- AdaPT: An Interactive Procedure for Multiple Testing with Side Information
- Optimal Control of False Discovery Criteria in the Two-Group Model
- Variance of the Number of False Discoveries
- Estimation of the False Discovery Proportion with Unknown Dependence
- The p-filter: Multilayer False Discovery Rate Control for Grouped Hypotheses
- Some Results on the Control of the False Discovery Rate under Dependence
- Testing Statistical Hypotheses
- Some Concepts of Dependence
- Selective Inference on Multiple Families of Hypotheses
