A semiparametric Bayesian approach to epidemics, with application to the spread of the coronavirus MERS in South Korea in 2015
Author:
Affiliation:
1. Department of Statistics, University of Missouri, Columbia, MO, USA
2. RS Metrics Asia, Penn State University, University Park, PA, USA
3. Microsoft, Rice University, Houston, TX, USA
Funder
National Institutes of Health
Office of Naval Research
National Science Foundation
Army Research Office
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/10485252.2021.1972294
Reference105 articles.
1. Statistical mechanics of complex networks
2. Pseudo-likelihood methods for community detection in large sparse networks
3. Stochastic Epidemic Models and Their Statistical Analysis
4. Emergence of Scaling in Random Networks
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