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Optimality in multiple comparison procedures

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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

Optimality in multiple comparison procedures

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Chat with Graph Search

Social Learning with Disparate Hypotheses

Multiple testing with test statistics following heavy-tailed distributions

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

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

Learning and Adaptive Data Analysis via Maximal Leakage

Statistical Applications of Random Matrix Theory: Comparison of Two Populations

On null hypotheses in survival analysis

Longitudinal analysis of white matter and cortical lesions in multiple sclerosis

The detection of two-component mixture alternatives

Gray-matter-specific MR imaging improves the detection of epileptogenic zones in focal cortical dysplasia: A new sequence called fluid and white matter suppression (FLAWS)

Multiple testing with test statistics following heavy-tailed distributions

The detection of two-component mixture alternatives

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

Gray-matter-specific MR imaging improves the detection of epileptogenic zones in focal cortical dysplasia: A new sequence called fluid and white matter suppression (FLAWS)

Statistical Applications of Random Matrix Theory: Comparison of Two Populations

On null hypotheses in survival analysis

Longitudinal analysis of white matter and cortical lesions in multiple sclerosis

Social Learning with Disparate Hypotheses

Learning and Adaptive Data Analysis via Maximal Leakage

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