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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

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Graph Chatbot

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Memory of Motion for Initializing Optimization in Robotics

Considerations on the partial safety factor format for reinforced concrete structures accounting for multiple failure modes

Overflow pressure characterization in lined plunge pools for slab sizing

3PAC: A Plug-and-Play System for Distributed Power Sharing and Communication in Modular Robots

Robustness and invariance properties of image classifiers

Instance norm improves meta-learning in class-imbalanced land cover classification

Robust Generalization despite Distribution Shift via Minimum Discriminating Information

Unbiased Monte Carlo cluster updates with autoregressive neural networks

Multiple testing with test statistics following heavy-tailed distributions

The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective

Memory of Motion for Initializing Optimization in Robotics

Considerations on the partial safety factor format for reinforced concrete structures accounting for multiple failure modes

3PAC: A Plug-and-Play System for Distributed Power Sharing and Communication in Modular Robots

Unbiased Monte Carlo cluster updates with autoregressive neural networks

Overflow pressure characterization in lined plunge pools for slab sizing

Instance norm improves meta-learning in class-imbalanced land cover classification

The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective

Robustness and invariance properties of image classifiers

Robust Generalization despite Distribution Shift via Minimum Discriminating Information

Multiple testing with test statistics following heavy-tailed distributions