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Hypothesis testing for evaluating a multimodal pattern recognition framework applied to speaker detection

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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

Hypothesis testing for evaluating a multimodal pattern recognition framework applied to speaker detection

Graph Chatbot

Chattez avec Graph Search

Partial Information Sharing Over Social Learning Networks

Social Learning with Disparate Hypotheses

Learning new physics from an imperfect machine

Attention-based domain adaptation for single-stage detectors

A Statistical Test for Probabilistic Fairness

Multiple testing with test statistics following heavy-tailed distributions

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

Strategy to validate sensor-placement methodologies in the context of sparse measurement in complex urban systems

On null hypotheses in survival analysis

Statistical Applications of Random Matrix Theory: Comparison of Two Populations

Partial Information Sharing Over Social Learning Networks

Social Learning with Disparate Hypotheses

Learning new physics from an imperfect machine

Attention-based domain adaptation for single-stage detectors

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

On null hypotheses in survival analysis

Statistical Applications of Random Matrix Theory: Comparison of Two Populations

Strategy to validate sensor-placement methodologies in the context of sparse measurement in complex urban systems