The validation of approximate Bayesian computation

本项目旨在建立近似贝叶斯计算（ABC）的理论有效性，并开发诊断方法以评估其在经验应用中的可靠性。鉴于现代统计模型日益复杂，需要新的统计推断方法。近似贝叶斯计算是一种新的统计工具。这个项目期望它的发现将在复杂现象特征和近似方法是理解这些现象的唯一可行方法的所有领域有用。

This project aims to establish the theoretical validity of approximate Bayesian computation (ABC) and to develop diagnostic methods for assessing its reliability in empirical applications. Given the increased complexity of modern statistical models, new ways of conducting statistical inference are needed. Approximate Bayesian computation is a new statistical tool. This project expects its findings will be useful in all fields where complex phenomena feature and approximate methods are the only feasible way of understanding those phenomena.