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A comprehensive error rate for multiple testing

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Multiple testing with test statistics following heavy-tailed distributions

Zhiwen Jiang

In multiple testing problems where the components come from a mixture model of noise and true effect, we seek to first test for the existence of the non-zero components, and then identify the true alternatives under a fixed significance level

\alpha

. Two ...

EPFL2021

A comprehensive error rate for multiple testing

Graph Chatbot

Chattez avec Graph Search

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Multiple testing with test statistics following heavy-tailed distributions

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Colloidal Synthesis of Cu-M-S (M = V, Cr, Mn) Nanocrystals by Tuning the Copper Precursor Reactivity

Liquid metal infiltration of silicon based alloys into porous carbonaceous materials. Part I: Modelling of channel filling and reaction phase formation

Computationally-guided tuning of ligand sensitivity in a GPCR-based sensor

Multiple testing with test statistics following heavy-tailed distributions

Monobodies as possible next-generation protein therapeutics - a perspective

Non-covalent albumin-binding ligands for extending the circulating half-life of small biotherapeutics

Differentiation between benign and malignant vertebral compression fractures using qualitative and quantitative analysis of a single fast spin echo T2-weighted Dixon sequence

Ambiance in Social Media Venues: Visual Cue Interpretation by Machines and Crowds