19
IRUS Total
Downloads
  Altmetric

Rejoinder for "Probabilistic Integration: A Role in Statistical Computation?"

File Description SizeFormat 
1811.10275v1.pdfAccepted version77.57 kBAdobe PDFView/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