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For multivariate normal models and some exponential family models a multiple testing stepwise method is offered that is both admissible and consistent. The method is readily adaptable to selecting var...
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....
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...
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...

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