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Compromise Pitman estimators

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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

Compromise Pitman estimators

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Chat with Graph Search

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Multiple testing with test statistics following heavy-tailed distributions

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Clustering and Informative Path Planning for 3D Gas Distribution Mapping: Algorithms and Performance Evaluation

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Unbiased Monte Carlo cluster updates with autoregressive neural networks