Rejoinder for "Probabilistic Integration: A Role in Statistical Computation?"
File(s)1811.10275v1.pdf (77.57 KB)
Accepted version
Author(s)
Briol, Francois-Xavier
Oates, Chris J
Girolami, Mark
Osborne, Michael A
Sejdinovic, Dino
Type
Journal Article
Abstract
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?
Date Issued
2019-02
Date Acceptance
2018-11-26
Citation
Statistical Science, 2019, 34 (1), pp.38-42
ISSN
0883-4237
Publisher
Institute of Mathematical Statistics
Start Page
38
End Page
42
Journal / Book Title
Statistical Science
Volume
34
Issue
1
Copyright Statement
© Institute of Mathematical Statistics, 2019
Identifier
http://arxiv.org/abs/1811.10275v1
Subjects
stat.CO
stat.CO
cs.LG
math.NA
stat.ML
Notes
Accepted to Statistical Science
Publication Status
Published