Bayesian Inference for Stochastic Multitype Epidemics in Structured Populations Via Random Graphs
利用随机图对结构化人群中的随机多类型传染病模型进行贝叶斯推断
Summary The paper is concerned with new methodology for statistical inference for final outcome infectious disease data using certain structured population stochastic epidemic models. A major obstacle to inference for such models is that the likelihood is both analytically and numerically intractable. The approach that is taken here is to impute missing information in the form of a random graph that describes the potential infectious contacts between individuals. This level…