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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Bibliographic Details
Published inarXiv.org
Main Authors Duan, Leo L, Dunson, David B
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 30.06.2021
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