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Rejoinder for "Probabilistic Integration: A Role in Statistical Computation?"
File | Description | Size | Format | |
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![]() | Accepted version | 77.57 kB | Adobe PDF | View/Open |
Title: | Rejoinder for "Probabilistic Integration: A Role in Statistical Computation?" |
Authors: | Briol, F-X Oates, CJ Girolami, M Osborne, MA Sejdinovic, D |
Item 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? |
Issue Date: | Feb-2019 |
Date of Acceptance: | 26-Nov-2018 |
URI: | http://hdl.handle.net/10044/1/64887 |
DOI: | https://doi.org/10.1214/18-STS683 |
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 |
Keywords: | Science & Technology Physical Sciences Statistics & Probability Mathematics Computational statistics nonparametric statistics probabilistic numerics uncertainty quantification stat.CO stat.CO cs.LG math.NA stat.ML stat.CO stat.CO cs.LG math.NA stat.ML Statistics & Probability 0104 Statistics |
Notes: | Accepted to Statistical Science |
Publication Status: | Published |
Appears in Collections: | Mathematics Statistics Faculty of Natural Sciences |