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Some Thoughts on Robustness and 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

Some Thoughts on Robustness and Multiple Testing

Graph Chatbot

Chattez avec Graph Search

Social Learning with Disparate Hypotheses

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Multiple testing with test statistics following heavy-tailed distributions

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On null hypotheses in survival analysis

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On null hypotheses in survival analysis

Advantages of fluid and white matter suppression (FLAWS) with MP2RAGE compared with double inversion recovery turbo spin echo (DIR-TSE) at 7T

Multiple testing with test statistics following heavy-tailed distributions

Learning and Adaptive Data Analysis via Maximal Leakage

To regenerate or not to regenerate: Vertebrate model organisms of regeneration-competency and -incompetency

Interpreting null models of resting-state functional MRI dynamics: not throwing the model out with the hypothesis

Statistical Applications of Random Matrix Theory: Comparison of Two Populations

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

Social Learning with Disparate Hypotheses

A comprehensive error rate for multiple testing