Direct likelihood-based inference for discretely observed stochastic compartmental models of infectious disease
Ho L, Crawford F, Suchard M. Direct likelihood-based inference for discretely observed stochastic compartmental models of infectious disease. The Annals Of Applied Statistics 2018, 12: 1993-2021. DOI: 10.1214/18-aoas1141.Peer-Reviewed Original ResearchHamiltonian Monte CarloStochastic compartmental modelMonte CarloLikelihood-based inferenceSequential Monte CarloCompartmental modelObserved dataMathematical foundationHigh computational costLoss of accuracyLikelihood evaluationBayesian inferenceSIR modelBroad classRecursion methodComputational costRemoved (SIR) modelEfficient algorithmTransition probabilitiesCarloModel assumptionsInfectious disease epidemicsInferenceCentury plagueApproximation
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