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Article

Joint high-dimensional Bayesian variable and covariance selection with an application to eQTL analysis.

Biometrics - 1 Jun 2013

Bhadra Anindya, Mallick Bani K

Abstract excerpt

We describe a Bayesian technique to (a) perform a sparse joint selection of significant predictor variables and significant inverse covariance matrix elements of the response variables in a high-dimensional linear Gaussian sparse seemingly unrelated regression (SSUR) setting and (b) perform an association analysis between the high-dimensional sets of predictors and responses in such a setting. To search the...

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PMID: 23607608
DOI: 10.1111/biom.12021

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

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