A Bayesian generative model represents the wave model as graph-based trait diffusion with death processes and supplies a Metropolis-Hastings-within-Gibbs sampler to recover the unknown contact graph from observed data.
Hawe, Fabian J
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WaST: a formalisation of the Wave model with associated statistical inference and applications
A Bayesian generative model represents the wave model as graph-based trait diffusion with death processes and supplies a Metropolis-Hastings-within-Gibbs sampler to recover the unknown contact graph from observed data.