Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph
In multivariate data analysis, it is often important to estimate a graph characterizing dependence among (p) variables. A popular strategy uses the non-zero entries in a (p\times p) covariance or precision matrix, typically requiring restrictive modeling assumptions for accurate graph recovery. To i...
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Published in | arXiv.org |
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Main Authors | , |
Format | Paper |
Language | English |
Published |
Ithaca
Cornell University Library, arXiv.org
30.06.2021
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Subjects | |
Online Access | Get full text |
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