Author: Neri, Franco M.; Cook, Alex R.; Gibson, Gavin J.; Gottwald, Tim R.; Gilligan, Christopher A.
Title: Bayesian Analysis for Inference of an Emerging Epidemic: Citrus Canker in Urban Landscapes Document date: 2014_4_24
ID: 01yc7lzk_24
Snippet: The transmission (e, b) and dispersal (a) parameters were estimated by Bayesian inference using Markov chain Monte Carlo methods with data augmentation. Let T min ,T max ½ be the time span of experimental observations, i a host infected at time t i (t i vT max ), and s a host still susceptible at time T max . If infection times were known the likelihood function could be calculated as follows:.....
Document: The transmission (e, b) and dispersal (a) parameters were estimated by Bayesian inference using Markov chain Monte Carlo methods with data augmentation. Let T min ,T max ½ be the time span of experimental observations, i a host infected at time t i (t i vT max ), and s a host still susceptible at time T max . If infection times were known the likelihood function could be calculated as follows:
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