Bayesian shrinkage methods for partially observed data with many predictors

DOI10.1214/13-AOAS668zbMath1283.62049arXiv1401.2324WikidataQ30736131 ScholiaQ30736131MaRDI QIDQ2441860

Bhramar Mukherjee, Jeremy M. G. Taylor, Philip S. Boonstra

Publication date: 28 March 2014

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1401.2324

zbMATH Keywords

Markov chain Monte Carlohigh-dimensional datamissing datameasurement errors

Mathematics Subject Classification ID

Related Items (4)

Bayesian shrinkage methods for partially observed data with many predictors ⋮ On the estimation of homogeneous population size from a complex dual-record system ⋮ A Bayesian precision medicine framework for calibrating individualized therapeutic indices in cancer ⋮ Data enriched linear regression

Uses Software

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