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Fractional extreme distributions

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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

Fractional extreme distributions

Graph Chatbot

Chattez avec Graph Search

A story of two transitions: From adhesive to abrasive wear and from ductile to brittle regime

Learning Robust and Adaptive Representations: from Interactions, for Interactions

CONVERGENCE AND NONCONVERGENCE OF SCALED SELF-INTERACTING RANDOM WALKS TO BROWNIAN MOTION PERTURBED AT EXTREMA

Gyrokinetic simulations of plasma turbulence in a Z-pinch using a moment-based approach and advanced collision operators

Incentive Mechanism in the Sponsored Content Market With Network Effects

Feature distribution learning by passive exposure

Adversarial Parametric Pose Prior

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Moment approach of the multi-species non-linear Coulomb collision operator adapted to particle-in-cell codes

Multiple testing with test statistics following heavy-tailed distributions

A story of two transitions: From adhesive to abrasive wear and from ductile to brittle regime

Multiple testing with test statistics following heavy-tailed distributions

CONVERGENCE AND NONCONVERGENCE OF SCALED SELF-INTERACTING RANDOM WALKS TO BROWNIAN MOTION PERTURBED AT EXTREMA

Incentive Mechanism in the Sponsored Content Market With Network Effects

Gyrokinetic simulations of plasma turbulence in a Z-pinch using a moment-based approach and advanced collision operators

Learning Robust and Adaptive Representations: from Interactions, for Interactions

Feature distribution learning by passive exposure

Adversarial Parametric Pose Prior

Moment approach of the multi-species non-linear Coulomb collision operator adapted to particle-in-cell codes

Dalton: Learned Partitioning for Distributed Data Streams