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Inference on the Angular Distribution of Extremes

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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

Inference on the Angular Distribution of Extremes

Graph Chatbot

Chattez avec Graph Search

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

Fundamental bounds on the precision of iSCAT, COBRI and dark-field microscopy for 3D localization and mass photometry

Unbiased Monte Carlo cluster updates with autoregressive neural networks

Efficient ensemble summaries are inversely related to visual crowding

Estimation of separable direct and indirect effects in continuous time

Multiple testing with test statistics following heavy-tailed distributions

The probability of intransitivity in dice and close elections

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

Multivariate extremes over a random number of observations

MATHICSE Technical Report : Drift Estimation of Multiscale Diffusions Based on Filtered Data