Data from: Two-scale dispersal estimation for biological invasions via synthetic likelihood

Corentin M. Barbu, Karthik Sethuraman, Erica M. W. Billig & Michael Z. Levy
Biological invasions reshape environments and affect the ecological and economic welfare of states and communities. Such invasions advance on multiple spatial scales, complicating their control. When modeling stochastic dispersal processes, intractable likelihoods and autocorrelated data complicate parameter estimation. As with other approaches, the recent synthetic likelihood framework for stochastic models uses summary statistics to reduce this complexity; however, it additionally provides usable likelihoods, facilitating the use of existing likelihood-based machinery. Here, we extend this framework...
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