Reuse, recycle, reweigh: combating influenza through efficient sequential Bayesian computation for massive data

DOI10.1214/10-AOAS349zbMath1220.62144arXiv1101.0959WikidataQ35872770 ScholiaQ35872770MaRDI QIDQ542932

Jennifer A. Tom, Marc A. Suchard, Janet S. Sinsheimer

Publication date: 20 June 2011

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

Full work available at URL: https://arxiv.org/abs/1101.0959

zbMATH Keywords

importance samplingMarkov chain Monte Carlohierarchical Bayesian modelinfluenza AGibbs variable selection

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (3)

A numerically stable algorithm for integrating Bayesian models using Markov melding ⋮ Joining and splitting models with Markov melding ⋮ Reuse, recycle, reweigh: combating influenza through efficient sequential Bayesian computation for massive data

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