Multiple Testing and Error Control in Gaussian Graphical Model Selection
Multiple Testing and Error Control in Gaussian Graphical Model Selection
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Publisher
Institute of Mathematical Statistics
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Language
English
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Institute of Mathematical Statistics
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Contents
Graphical models provide a framework for exploration of multivariate dependence patterns. The connection between graph and statistical model is made by identifying the vertices of the graph with the observed variables and translating the pattern of edges in the graph into a pattern of conditional independences that is imposed on the variables' join...
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Full title
Multiple Testing and Error Control in Gaussian Graphical Model Selection
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TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_ss_1199285042
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_ss_1199285042
Other Identifiers
ISSN
0883-4237
E-ISSN
2168-8745
DOI
10.1214/088342307000000113