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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

Z-test

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Data-Driven Predictive Models: Calculational Bias in Characterization of Spent Nuclear Fuel

Improved Inference On Risk Measures For Univariate Extremes

Analyzing the effects of snow-atmosphere interactions on snow surface dynamics based on automated 3D laser scanning data

Experimental characterisation of textile compaction response: A benchmark exercise

Determining 1D fast-ion velocity distribution functions from ion cyclotron emission data using deep neural networks

Improving filling level classification with adversarial training

Multiple testing with test statistics following heavy-tailed distributions

The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey quasar sample: testing observational systematics on the Baryon Acoustic Oscillation measurement

Lattice-Free Mmi Adaptation Of Self-Supervised Pretrained Acoustic Models

Built-in Self-Evaluation of First-Order Power Side-Channel Leakage for FPGAs

Analyzing the effects of snow-atmosphere interactions on snow surface dynamics based on automated 3D laser scanning data

Data-Driven Predictive Models: Calculational Bias in Characterization of Spent Nuclear Fuel

Improved Inference On Risk Measures For Univariate Extremes

Multiple testing with test statistics following heavy-tailed distributions

Built-in Self-Evaluation of First-Order Power Side-Channel Leakage for FPGAs

The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey quasar sample: testing observational systematics on the Baryon Acoustic Oscillation measurement

Lattice-Free Mmi Adaptation Of Self-Supervised Pretrained Acoustic Models

Improving filling level classification with adversarial training

Experimental characterisation of textile compaction response: A benchmark exercise

Determining 1D fast-ion velocity distribution functions from ion cyclotron emission data using deep neural networks