Accelerated inference for stochastic compartmental models with over-dispersed partial observations
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An assumed density approximate likelihood is derived for a class of partially observed stochastic compartmental models which permit observational over-dispersion. This is achieved by treating time-varying reporting probabilities as latent variables and integra... ...
