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Statistical analysis of clusters of extreme events

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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

Statistical analysis of clusters of extreme events

Graph Chatbot

Chattez avec Graph Search

Information content and aerosol property retrieval potential for different types of in situ polar nephelometer data

Model-Based Clustering of Trends and Cycles of Nitrate Concentrations in Rivers Across France

Sparsely Observed Functional Time Series: Theory and Applications

Bayesian Methods for the Identification of Distribution Networks

Statistical limits of high-dimensional inference problems

Multiple testing with test statistics following heavy-tailed distributions

Unbiased Monte Carlo cluster updates with autoregressive neural networks

Deep Domain Adaptation in Earth Observation

Sub‐asymptotic motivation for new conditional multivariate extreme models

Progressive Correspondence Pruning by Consensus Learning

Sparsely Observed Functional Time Series: Theory and Applications

Statistical limits of high-dimensional inference problems

Bayesian Methods for the Identification of Distribution Networks

Information content and aerosol property retrieval potential for different types of in situ polar nephelometer data

Model-Based Clustering of Trends and Cycles of Nitrate Concentrations in Rivers Across France

Multiple testing with test statistics following heavy-tailed distributions

Progressive Correspondence Pruning by Consensus Learning

Sub‐asymptotic motivation for new conditional multivariate extreme models

Unbiased Monte Carlo cluster updates with autoregressive neural networks

Deep Domain Adaptation in Earth Observation