Matrix Graph Hypothesis Testing and Application in Brain Connectivity Alternation Detection

DOI10.5705/ss.202017.0023zbMath1412.62187OpenAlexW2738684998MaRDI QIDQ4626691

Yin Xia, Lexin Li

Publication date: 28 February 2019

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/28ba70019c019e32a0abbab0c6c39fc64335db36

zbMATH Keywords

multiple testingGaussian graphical modelfunctional magnetic resonance imagingpartial correlationbrain connectivity analysismatrix-variate normal distribution

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (4)

Hypothesis Testing for Network Data with Power Enhancement ⋮ Brain connectivity alteration detection via matrix‐variate differential network model ⋮ Testing and support recovery of correlation structures for matrix-valued observations with an application to stock market data ⋮ Network modeling in biology: statistical methods for gene and brain networks

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