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Scaled False Discovery Proportion and Related Error Metrics

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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

Scaled False Discovery Proportion and Related Error Metrics

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Chat with Graph Search

Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge

Evaluation and optimization of novel extraction algorithms for the automatic detection of atrial activations recorded within the pulmonary veins during atrial fibrillation

Cortical and subcortical changes in resting-state neuronal activity and connectivity in early symptomatic ALS and advanced frontotemporal dementia

Multiple testing with test statistics following heavy-tailed distributions

A comprehensive error rate for multiple testing

Learning and Adaptive Data Analysis via Maximal Leakage

Longitudinal analysis of white matter and cortical lesions in multiple sclerosis

Topology classification with deep learning to improve real-time event selection at the LHC

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)

Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge

Cortical and subcortical changes in resting-state neuronal activity and connectivity in early symptomatic ALS and advanced frontotemporal dementia

Multiple testing with test statistics following heavy-tailed distributions

A comprehensive error rate for multiple testing

The detection of two-component mixture alternatives

Longitudinal analysis of white matter and cortical lesions in multiple sclerosis

Evaluation and optimization of novel extraction algorithms for the automatic detection of atrial activations recorded within the pulmonary veins during atrial fibrillation

Learning and Adaptive Data Analysis via Maximal Leakage

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)

Topology classification with deep learning to improve real-time event selection at the LHC