Multiple Testing with the Structure-Adaptive Benjamini–Hochberg Algorithm
From MaRDI portal
Publication:3120100
DOI10.1111/rssb.12298zbMath1407.62284arXiv1606.07926OpenAlexW2962981429MaRDI QIDQ3120100
Publication date: 1 March 2019
Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1606.07926
powermultiple testingfalse discovery rateBenjamini-Hochberg procedureordered, grouped and low total variation structuresstructure-adaptive Benjamini-Hochberg algorithm
Order statistics; empirical distribution functions (62G30) Paired and multiple comparisons; multiple testing (62J15)
Related Items
Covariate Adaptive False Discovery Rate Control With Applications to Omics-Wide Multiple Testing, LAWS: A Locally Adaptive Weighting and Screening Approach to Spatial Multiple Testing, Heteroscedasticity-Adjusted Ranking and Thresholding for Large-Scale Multiple Testing, Optimal false discovery rate control for large scale multiple testing with auxiliary information, Empirical Bayes cumulative \(\ell\)-value multiple testing procedure for sparse sequences, Estimating minimum effect with outlier selection, Testing for outliers with conformal p-values, A powerful procedure that controls the false discovery rate with directional information, Further results on controlling the false discovery rate under some complex grouping structure of hypotheses, Knockoffs with side information, Structure–Adaptive Sequential Testing for Online False Discovery Rate Control, Two-Component Mixture Model in the Presence of Covariates, New results for adaptive false discovery rate control with \(p\)-value weighting, Large-scale multiple inference of collective dependence with applications to protein function, False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation, Covariate-Assisted Ranking and Screening for Large-Scale Two-Sample Inference, Testing and estimation for clustered signals, Adaptive \(p\)-value weighting with power optimality, Statistical limits of sparse mixture detection, Detecting multiple replicating signals using adaptive filtering procedures, Conditional calibration for false discovery rate control under dependence
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Multiple Testing of Local Extrema for Detection of Change Points
- On the Benjamini-Hochberg method
- Multiple testing of local maxima for detection of peaks in 1D
- Detecting simultaneous variant intervals in aligned sequences
- Controlling the false discovery rate via knockoffs
- A powerful FDR control procedure for multiple hypotheses
- The control of the false discovery rate in multiple testing under dependency.
- ROCKET: robust confidence intervals via Kendall's tau for transelliptical graphical models
- A unified treatment of multiple testing with prior knowledge using the p-filter
- False discovery control with p-value weighting
- Oracle and Adaptive Compound Decision Rules for False Discovery Rate Control
- Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach
- A Direct Approach to False Discovery Rates
- 10.1162/153244303321897690
- AdaPT: An Interactive Procedure for Multiple Testing with Side Information
- A general interactive framework for false discovery rate control under structural constraints
- False Discovery Rate Control With Groups
- The p-filter: Multilayer False Discovery Rate Control for Grouped Hypotheses
- Sequential Selection Procedures and False Discovery Rate Control
- Selective Inference on Multiple Families of Hypotheses