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False positives and false negatives

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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

False positives and false negatives

Graph Chatbot

Chattez avec Graph Search

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Multiple testing with test statistics following heavy-tailed distributions

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Automation of the diagnosis process in the railway system : Detection of defects in concrete sleepers using vision-based machine learning models

Wastewater monitoring outperforms case numbers as a tool to track COVID-19 incidence dynamics when test positivity rates are high

Using footstep-induced vibrations for occupant detection and recognition in buildings

Multiple testing with test statistics following heavy-tailed distributions

Longitudinal analysis of white matter and cortical lesions in multiple sclerosis

Large variation in anti-SARS-CoV-2 antibody prevalence among essential workers in Geneva, Switzerland

Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE

On the cortical connectivity in the macaque brain: A comparison of diffusion tractography and histological tracing data

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

On the intrahemispheric connectivity of the monkey: a diffusion tractography and tract tracing analysis