Efficient Bayesian inference for two-stage models in environmental epidemiology

This article focuses on a specific methodological advancement within the field of environmental epidemiology. The use of Bayesian inference suggests a focus on probabilistic modeling and uncertainty quantification. The mention of two-stage models implies a complex modeling approach, likely dealing with multiple levels of analysis or different stages of a process. The efficiency aspect suggests the authors are addressing computational challenges associated with these complex models.