Comment on Article by Chkrebtii, Campbell, Calderhead, and Girolami

. This note is a discussion of the article “Bayesian Solution Uncertainty Quantification for Differential Equations” by Chkrebtii, Campbell, Calderhead, and Girolami. The authors propose stochastic models for differential equation discretizations. While appreciating the main concepts, we point out some possible extensions and modifications.

这篇笔记是对Chkrebtii、Campbell、Calderhead和Girolami所著的《微分方程的贝叶斯解的不确定性量化》一文的讨论。作者们提出了用于微分方程离散化的随机模型。在赞赏主要概念的同时，我们指出了一些可能的扩展和修改。