Bayesian inference for asymptomatic COVID-19 infection rates

DOI10.1002/sim.9408zbMATH Open1547.62159MaRDI QIDQ6628620

Dexter O. Cahoy, J. Sedransk

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

exchangeable random variablesreversible jump Markov chain Monte Carlometa-analysisDirichlet process mixtureSARS-CoV-2pooling results

Mathematics Subject Classification ID

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

Cites Work

• Unnamed Item
• Combining data from experiments that may be similar
• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• Bayesian nonparametric data analysis
• Estimating Normal Means with a Dirichlet Process Prior
• Bayesian methodology for combining the results from different experiments when the specifications for pooling are uncertain

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