Rejoinder for "Probabilistic Integration: A Role in Statistical Computation?"
It engages in theoretical debate on foundational methods for statisticians and computational researchers, but is incremental as it builds on prior discussions.
This rejoinder responds to discussions on a paper about using Bayesian ideas in numerical analysis, addressing fundamental questions on their role in statistical computation without presenting new results or numbers.
This article is the rejoinder for the paper "Probabilistic Integration: A Role in Statistical Computation?" to appear in Statistical Science with discussion. We would first like to thank the reviewers and many of our colleagues who helped shape this paper, the editor for selecting our paper for discussion, and of course all of the discussants for their thoughtful, insightful and constructive comments. In this rejoinder, we respond to some of the points raised by the discussants and comment further on the fundamental questions underlying the paper: (i) Should Bayesian ideas be used in numerical analysis?, and (ii) If so, what role should such approaches have in statistical computation?