Rejoinder for "Probabilistic Integration: A Role in Statistical Computation?"
Computation
2018-11-27 v1 Machine Learning
Numerical Analysis
Machine Learning
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?
Cite
@article{arxiv.1811.10275,
title = {Rejoinder for "Probabilistic Integration: A Role in Statistical Computation?"},
author = {Francois-Xavier Briol and Chris J. Oates and Mark Girolami and Michael A. Osborne and Dino Sejdinovic},
journal= {arXiv preprint arXiv:1811.10275},
year = {2018}
}
Comments
Accepted to Statistical Science