Operating characteristics and extensions of the false discovery rate procedure

By Christopher R. Genovese, Larry A. Wasserman. 2002

615 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/e20b15ba1a0d141e5e814ca2667031c61dae5484

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In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

Exceedance Control of the False Discovery Proportion (2006, background): “…(1995), have recently received much attention (see Benjamini and Yekutieli 2001; Efron, Tibshirani, and Storey 2001; Finner, and Roters 2002; Genovese and Wasserman 2002, 2004; Korn, Troendle, McShane, and Simon 2004; Romano and Lehmann 2005; Sarkar 2002; Somerville 2004; Storey 2002, 2003;…”
Estimation and Confidence Sets for Sparse Normal Mixtures (2006, background): “ns where there are relatively few nonzero components, it is natural to develop the theory with a random eﬀects model, see for example Efron [4], Meinshausen 2 and Rice [12] and Genovese and Wasserman [5]. Consider nindependentobservations from a Gaussian mixture model: Xi = µi +zi, zi iid∼ N(0,1), 1”
On the Benjamini-Hochberg method (2006, methodology): “This was first proved by Genovese and Wasserman [9].”
Controlling Bias in Adaptive Data Analysis Using Information Theory (2015, background): “ distribution) or an alternative distribution F. Consider an asymptotic regime where the number of alternative m!1, but the proportion of alternatives following the null distribution stays ﬁxed. Then [29] show that under regularity conditions on F, the random threshold ^l converges in probability to”
An exploration of aspects of Bayesian multiple testing (2006, methodology): “…of this procedure to Bayesian methodology (such explorations have been undertaken in Shaffer, 1999; Efron, Tibshirani, Storey, and Tusher, 2001; Storey, 2001 and 2002; and Genovese and Wasserman, 2002), but do record the FDR of the above decision procedure for each of the cases given in the tables.”
BMC Bioinformatics (2005, neutral): “The FNR is introduced by Genovese et al. [17].”
A note on the adaptive control of false discovery rates (2004, background): “Finner and Roters (2001) later proved equality of this relationship, showing that FDR=αm0=m=απ0, which was also reported independently by Genovese and Wasserman (2002).”
False discovery and false nondiscovery rates in single-step multiple testing procedures (2006, background): “3) It is also related to the idea of Genovese and Wasserman (2002) who suggested using 1 − πθ(1)(t; n0, n1) as a risk function to compare multiple testing procedures.”
Discovering the false discovery rate (2010, background): “…or their transformed z-values, and estimating the proportion of distribution that is attributed to values under the true null hypotheses are some directions taken, either parametric (e.g. by Allison and co-workers), or non-parametrically (by Genovese and Wasserman (2002) and Efron and co-workers).”
α‐investing: a procedure for sequential control of expected false discoveries (2008, background): “Property (e) has a relationship to Genovese and Wasserman (2002, 2004).”
A comparison of the Benjamini-Hochberg procedure with some Bayesian rules for multiple testing (2008, result): “Our results confirm the observation of Genovese and Wasserman [12] that for very small p’s (for m = 200, p < 0.”
Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach (2004, methodology): “The proofs are straightforward, relying only on convergence of the underlying empirical processes, and not large deviation inequalities as in Genovese and Wasserman (2002a) .”
Distribution-free Multiple Testing (2016, methodology): “Most other publications that discuss oracle bounds, such as [5, 16, 24, 28, 29], operate in a setting where the statistics have the same null distribution and the same alternative distribution, and consider an oracle that provides these two distributions together with the number of false null hypoth”
Dependency and false discovery rate: Asymptotics (2007, background): “Moreover, attempts to improve the LSU-procedure and interesting investigations based on asymptotics can be found, for example, in [9, 10] and [16].”
The Bayes oracle and asymptotic optimality of multiple testing procedures under sparsity (2010, methodology): “Extensive simulation studies and theoretical calculations in [6, 23] and [5] illustrate that multiple testing rules controlling the BFDR at a small level α ≈ 0.”
Large-scale inference (2010, background): “False negative rates are extensively investigated in Genovese and Wasserman (2002).”