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J. Cockayne

22 papers hereh-index 13757 citations31 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author7
  • middle author12
  • last author1

Across the 21 of 22 papers where every author was matched, so the position is known.

fields
  • stat.ME9
  • math.NA4
  • math.ST2
  • stat.CO2
  • cs.LG1
  • math.OC1

identity via Semantic Scholar / OpenAlex

activity
20162025
most citedBayesian Probabilistic Numerical Methods

87 citations · 196 across the 20 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

math.NA2021

Theoretical Guarantees for the Statistical Finite Element Method

Yanni Papandreou, Jon Cockayne, Mark Girolami +1

The statistical finite element method (StatFEM) is an emerging probabilistic method that allows observations of a physical system to be synthesised with the numerical solution of a…

math.NA2021★ 14 cited

Bayesian Numerical Methods for Nonlinear Partial Differential Equations

Junyang Wang, Jon Cockayne, Oksana Chkrebtii +2

The numerical solution of differential equations can be formulated as an inference problem to which formal statistical approaches can be applied. However, nonlinear partial differe…

cs.LG2021

A probabilistic Taylor expansion with Gaussian processes

Toni Karvonen, Jon Cockayne, Filip Tronarp +1

We study a class of Gaussian processes for which the posterior mean, for a particular choice of data, replicates a truncated Taylor expansion of any order. The data consist of deri…

stat.ME2021★ 3 cited

Probabilistic Iterative Methods for Linear Systems

Jon Cockayne, Ilse C. F. Ipsen, Chris J. Oates +1

This paper presents a probabilistic perspective on iterative methods for approximating the solution x∗​∈Rd of a nonsingular linear system $\mathbf{A} \math…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.