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February 2019 Rejoinder: Probabilistic Integration: A Role in Statistical Computation?
François-Xavier Briol, Chris J. Oates, Mark Girolami, Michael A. Osborne, Dino Sejdinovic
Statist. Sci. 34(1): 38-42 (February 2019). DOI: 10.1214/18-STS683


This article is the rejoinder for the paper “Probabilistic Integration: A Role in Statistical Computation?” (Statist. Sci. 34 (2019) 1–22). 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?


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François-Xavier Briol. Chris J. Oates. Mark Girolami. Michael A. Osborne. Dino Sejdinovic. "Rejoinder: Probabilistic Integration: A Role in Statistical Computation?." Statist. Sci. 34 (1) 38 - 42, February 2019.


Published: February 2019
First available in Project Euclid: 12 April 2019

zbMATH: 07110673
MathSciNet: MR3938962
Digital Object Identifier: 10.1214/18-STS683

Keywords: computational statistics , nonparametric statistics , probabilistic numerics , uncertainty quantification

Rights: Copyright © 2019 Institute of Mathematical Statistics


Vol.34 • No. 1 • February 2019
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