搜索结果: 1-10 共查到“理论统计学 multiple testing”相关记录10条 . 查询时间(0.132 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...
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...
A sequential multiple testing procedure recently introduced by Heinrich, Bach and
Kornmeier allows to “zoom in” on, and thus identify regions with highly significant
departures from null-hypotheses....
Robustness of multiple testing procedures against dependence
False-discovery rate family-wise error rate linear process moving average multiplicity significance level
2010/3/18
An important aspect of multiple hypothesis testing is controlling
the significance level, or the level of Type I error. When the test
statistics are not independent it can be particularly challengin...
Sample size and positive false discovery rate control for multiple testing
Multiple hypothesis testing pFDR large deviations
2010/4/27
The 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 p...
