On methods controlling the false discovery rate
From MaRDI portal
Publication:987084
zbMath1193.62121MaRDI QIDQ987084
Publication date: 13 August 2010
Published in: Sankhyā. Series A (Search for Journal in Brave)
positive dependencefalse non-discovery ratemultivariate totally positive of order two, stepwise multiple testing methodspairwise FDR
Hypothesis testing in multivariate analysis (62H15) Paired and multiple comparisons; multiple testing (62J15)
Related Items
Minimally adaptive BH: A tiny but uniform improvement of the procedure of Benjamini and Hochberg, Bound on FWER for correlated normal, Bias-corrected estimators for proportion of true null hypotheses: application of adaptive FDR-controlling in segmented failure data, Constrained Bayesian Rules for Testing Statistical Hypotheses, Bivariate high-level exceedance and the Chen-Stein theorem in genomics multiple hypothesis testing perspectives, On improving some adaptive BH procedures controlling the FDR under dependence, On the false discovery proportion convergence under Gaussian equi-correlation, Further results on controlling the false discovery rate under some complex grouping structure of hypotheses, Some permutation symmetric multiple hypotheses testing rules under dependent setup, Adaptive novelty detection with false discovery rate guarantee, Dynamic adaptive multiple tests with finite sample FDR control, The false discovery rate (FDR) of multiple tests in a class room lecture, Exact calculations for false discovery proportion with application to least favorable configura\-tions, New results for adaptive false discovery rate control with \(p\)-value weighting, On adaptive procedures controlling the familywise error rate, False discovery rate control under Archimedean copula, Adapting to one- and two-way classified structures of hypotheses while controlling the false discovery rate, Further results on controlling the false discovery proportion, Nonparametric false discovery rate control for identifying simultaneous signals, On false discovery rate thresholding for classification under sparsity, On Benjamini-Hochberg procedure applied to mid \(p\)-values, Adaptive controls of FWER and FDR under block dependence, Group sequential BH and its adaptive versions controlling the FDR, A unified treatment of multiple testing with prior knowledge using the p-filter, Inequalities for the false discovery rate (FDR) under dependence, Classes of multiple decision functions strongly controlling FWER and FDR, New procedures controlling the false discovery proportion via Romano-Wolf's heuristic
