搜索结果: 1-15 共查到“统计学 Multiple testing”相关记录19条 . 查询时间(0.79 秒)
A Residual Based Multiple Testing Procedure for Variance Changepoints
Multiple testing Admissibility Multiple change points Variance change
2016/1/19
In this paper, we approach the variance changepoints detection problem from a multiple testing setting. After proving that the standard Step-Up and Step-Down procedures are inadmissible for the standa...
Multiple testing of local maxima for detection of peaks in ChIP-Seq data
False discovery rate kernel smoothing matched filter Poisson sequence topological inference
2013/6/14
A topological multiple testing approach to peak detection is proposed for the problem of detecting transcription factor binding sites in ChIP-Seq data. After kernel smoothing of the tag counts over th...
Rejoinder to "Multiple Testing for Exploratory Research"
Rejoinder "Multiple Testing for Exploratory Research"
2012/9/17
We are thankful to the three discussants for their helpful and stimulating comments to our work. We value especially the many suggestions for extensions of the methodology given by all three discussan...
Discussion of "Multiple Testing for Exploratory Research" by J. J. Goeman and A. Solari
Discussion "Multiple Testing for Exploratory Research" Goeman A. Solari
2012/9/17
Closure-based multiple testing procedures for con-trolling the familywise error rate (FWER) have been around for decades, but they have not been well un-derstood, and hence have been under-appreciated...
Discussion of "Multiple Testing for Exploratory Research" by J. J. Goeman and A. Solari
Discussion "Multiple Testing for Exploratory Research" Goeman A. Solari
2012/9/17
I want to congratulate the authors on this thought-provoking and important paper on multiple testing in exploratory settings.Standard Multiple Testing procedures can appear very mechanistic. Hypothese...
Discussion of "Multiple Testing for Exploratory Research" by J. J. Goeman and A. Solari
Discussion "Multiple Testing for Exploratory Research" Goeman A. Solari
2012/9/17
Goeman and Solari [Statist. Sci.26 (2011) 584–597] have addressed the interesting topic of multiple testing for exploratory re-search, and provided us with nice suggestions for exploratory analysis.Th...
Multiple Testing for Exploratory Research
Closed testing confidence set false discovery proportion
2012/9/17
Motivated by the practice of exploratory research, we for-mulate an approach to multiple testing that reverses the conventional roles of the user and the multiple testing procedure. Traditionally, the...
A nonparametric empirical Bayes framework for large-scale multiple testing
Dirichlet process marginal likelihood mixture model
2011/7/6
We propose a flexible and identifiable version of the two-groups model, motivated by hierarchical Bayes considerations, that features an empirical null and a semiparametric mixture model for the non-n...
Optimality of the Westfall-Young permutation procedure for multiple testing under dependence
Optimality Westfall-Young permutation procedure
2011/7/5
Test statistics are often strongly dependent in large-scale multiple testing applications. Most corrections for multiplicity are unduly conservative for correlated test statistics, resulting in a loss...
Multiple testing, uncertainty and realistic pictures
Image analysis signal detection image recon-struction percolation noisy image shape constraints unsupervised ma-chine learning spatial statistics multiple testing
2011/3/24
We study statistical detection of grayscale objects in noisy images. The object of interest is of unknown shape and has an unknown intensity, that can be varying over the object and can be negative. N...
Intrinsic Bounds and False Discovery Rate Control in Multiple Testing Problems
Multiple testing False Discovery Rate Benjamini Hochberg’s procedure power criticality proportion of true null hypotheses
2010/3/11
When testing a large number of independent hypotheses, three different questions are of
interest: are some hypotheses true alternatives? How many of them? Which of them?
These questions give rise to...
The Bayes oracle and asymptotic optimality of multiple testing procedures under sparsity
Multiple testing FDR Bayes oracle asymptotic optimality
2010/3/10
We investigate the asymptotic optimality of a large class of multiple testing rules using the
framework of Bayesian Decision Theory. We consider a parametric setup, in which observations
come from a...
Optimal rates of convergence for estimating the null density and proportion of nonnull effects in large-scale multiple testing
Optimal rates convergence null density proportion nonnull effects large-scale multiple testing
2010/3/9
An important estimation problem that is closely related to largescale
multiple testing is that of estimating the null density and the
proportion of nonnull effects. A few estimators have been introd...
Sample size and positive false discovery rate control for multiple testing
Multiple hypothesis testing pFDR large deviations
2009/9/16
Positive false discovery rate (pFDR) is a useful overall measure of errors for multiple hypothesis testing, especially when the underlying goal is to attain one or more discoveries. Control of pFDR cr...
Multiple testing in ordinal data models
Admissibility chi-square test consistency contingency table full multinomial model independent Poisson model ordered categories
2009/9/16
Consider an R x C contingency table in which the categories are ordered. Multiple testing of the hypotheses that each local odds ratio is one is carried out. The methodology to perform the multiple te...