2018
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
2016
The Graphical Structure of Respondent-driven Sampling
Crawford FW. The Graphical Structure of Respondent-driven Sampling. Sociological Methodology 2016, 46: 187-211. PMID: 31607761, PMCID: PMC6788810, DOI: 10.1177/0081175016641713.Peer-Reviewed Original Research