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A hierarchical Bayesian approach to estimate endosymbiont infection rates
View ORCID ProfileZachary H. Marion, View ORCID ProfileChristopher A. Hamm
doi: https://doi.org/10.1101/102020
Zachary H. Marion
1Department of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, TN, USA
Christopher A. Hamm
2Center for Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA, USA
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Posted January 21, 2017.
A hierarchical Bayesian approach to estimate endosymbiont infection rates
Zachary H. Marion, Christopher A. Hamm
bioRxiv 102020; doi: https://doi.org/10.1101/102020
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