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Alternative hypothesis

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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

Alternative hypothesis

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Multiple testing with test statistics following heavy-tailed distributions

A Statistical Test for Probabilistic Fairness

Defect incorporation in In-containing layers and quantum wells: experimental analysis via deep level profiling and optical spectroscopy

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

Spatial associations of mood disorders and cognitive performance with neighborhood environmental attributes and brain plasticity

Evaluating Alternative Metacommunity Hypotheses for Diatoms in the McMurdo Dry Valleys Using Simulations and Remote Sensing Data

The Mind Behind the Hebbian Synapse Donald O Hebb

Statistical Applications of Random Matrix Theory: Comparison of Two Populations

On null hypotheses in survival analysis

The Modern Project: A Research Hypothesis

Multiple testing with test statistics following heavy-tailed distributions

Evaluating Alternative Metacommunity Hypotheses for Diatoms in the McMurdo Dry Valleys Using Simulations and Remote Sensing Data

Spatial associations of mood disorders and cognitive performance with neighborhood environmental attributes and brain plasticity

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

The Mind Behind the Hebbian Synapse Donald O Hebb

The Modern Project: A Research Hypothesis

A Statistical Test for Probabilistic Fairness

Defect incorporation in In-containing layers and quantum wells: experimental analysis via deep level profiling and optical spectroscopy