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

Publications associées (35)

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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

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

Graph Chatbot

Chattez avec Graph Search

Partial Information Sharing Over Social Learning Networks

Time vs. Truth: Age-Distortion Tradeoffs and Strategies for Distributed Inference

Social Learning with Disparate Hypotheses

A Fundamental Limit of Distributed Hypothesis Testing Under Memoryless Quantization

A Statistical Test for Probabilistic Fairness

Social Learning Under Inferential Attacks

Multiple testing with test statistics following heavy-tailed distributions

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

Statistical Applications of Random Matrix Theory: Comparison of Two Populations

On null hypotheses in survival analysis

Social Learning Under Inferential Attacks

Time vs. Truth: Age-Distortion Tradeoffs and Strategies for Distributed Inference

Partial Information Sharing Over Social Learning Networks

A Fundamental Limit of Distributed Hypothesis Testing Under Memoryless Quantization

Multiple testing with test statistics following heavy-tailed distributions

Statistical Applications of Random Matrix Theory: Comparison of Two Populations

On null hypotheses in survival analysis

Social Learning with Disparate Hypotheses

A Statistical Test for Probabilistic Fairness

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