Innovations in Bayesian likelihood-free inference

贝叶斯推理是应用科学中常用的统计方法。这个项目将开发创新的工具，使贝叶斯推理的问题被认为是棘手的只有几年前。这些方法将加快跨一系列应用的多学科研究的进展。有了这些基础，该项目将加快国家研究工作，以改进预测水供应和管理趋势、极端气候影响、电信工程、艾滋病毒和传染病建模和生物统计的框架。由于许多部门无法在澳大利亚招聘到经过适当培训的统计人员，该项目将培训四名贝叶斯统计学博士生。

Bayesian inference is a statistical method of choice in applied science. This project will develop innovative tools which permit Bayesian inference in problems considered intractable only a few years ago. These methods will expedite advances in multidisciplinary research across a range of applications. With these foundations, this project will accelerate national research efforts into improving frameworks for projecting trends in water availability and management, the impact of climate extremes, telecommunications engineering, HIV and infectious disease modelling and biostatistics. With many sectors unable to recruit appropriately trained statisticians within Australia, this project will train four PhD students in Bayesian statistics.