An efficient moments-based inference method for within-host bacterial infection dynamics
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DOI: 10.1371/journal.pcbi.1005841
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- Mikael Sunnåker & Alberto Giovanni Busetto & Elina Numminen & Jukka Corander & Matthieu Foll & Christophe Dessimoz, 2013. "Approximate Bayesian Computation," PLOS Computational Biology, Public Library of Science, vol. 9(1), pages 1-10, January.
- Elizabeth G. Ryan & Christopher C. Drovandi & James M. McGree & Anthony N. Pettitt, 2016. "A Review of Modern Computational Algorithms for Bayesian Optimal Design," International Statistical Review, International Statistical Institute, vol. 84(1), pages 128-154, April.
- Patrick Kaiser & Emma Slack & Andrew J Grant & Wolf-Dietrich Hardt & Roland R Regoes, 2013. "Lymph Node Colonization Dynamics after Oral Salmonella Typhimurium Infection in Mice," PLOS Pathogens, Public Library of Science, vol. 9(9), pages 1-12, September.
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