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On Optimal Two Sample Homogeneity Tests for Finite Alphabets

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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

On Optimal Two Sample Homogeneity Tests for Finite Alphabets

Graph Chatbot

Chattez avec Graph Search

Transportation-based functional ANOVA and PCA for covariance operators

Higher Order Asymptotics: Applications to Satellite Conjunction and Boundary Problems

Near Collision Attack Against Grain V1

Memory of Motion for Initializing Optimization in Robotics

Feature distribution learning by passive exposure

OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift

Multiple testing with test statistics following heavy-tailed distributions

A Statistical Test for Probabilistic Fairness

Interpreting null models of resting-state functional MRI dynamics: not throwing the model out with the hypothesis

NovelT2Mapping for Evaluating Cervical Cancer Features by Providing QuantitativeT2Maps and Synthetic Morphologic Images: A Preliminary Study

Higher Order Asymptotics: Applications to Satellite Conjunction and Boundary Problems

A Statistical Test for Probabilistic Fairness

Interpreting null models of resting-state functional MRI dynamics: not throwing the model out with the hypothesis

Memory of Motion for Initializing Optimization in Robotics

Feature distribution learning by passive exposure

Transportation-based functional ANOVA and PCA for covariance operators

Near Collision Attack Against Grain V1

NovelT2Mapping for Evaluating Cervical Cancer Features by Providing QuantitativeT2Maps and Synthetic Morphologic Images: A Preliminary Study

OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift

Multiple testing with test statistics following heavy-tailed distributions