Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

A modern retrospective on probabilistic numerics

Lookup NU author(s): Professor Chris OatesORCiD

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

This article attempts to place the emergence of probabilistic numerics as a mathematical-statistical research field within its historical context and to explore how its gradual development can be related both to applications and to a modern formal treatment. We highlight in particular the parallel contributions of Sul'din and Larkin in the 1960s and how their pioneering early ideas have reached a degree of maturity in the intervening period, mediated by paradigms such as average-case analysis and information-based complexity. We provide a subjective assessment of the state of research in probabilistic numerics and highlight some difficulties to be addressed by future works.


Publication metadata

Author(s): Oates CJ, Sullivan TJ

Publication type: Article

Publication status: Published

Journal: Statistics and Computing

Year: 2019

Volume: 29

Pages: 1335–1351

Print publication date: 01/11/2019

Online publication date: 04/10/2017

Acceptance date: 01/03/2019

Date deposited: 09/05/2019

ISSN (print): 0960-3174

ISSN (electronic): 1573-1375

Publisher: Springer US

URL: https://doi.org/10.1007/s11222-019-09902-z

DOI: 10.1007/s11222-019-09902-z


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
DMS-1127914

Share