Jon Cockayne
Jon Cockayne
Email verificata su warwick.ac.uk - Home page
TitoloCitata daAnno
Bayesian probabilistic numerical methods
J Cockayne, C Oates, T Sullivan, M Girolami
arXiv preprint arXiv:1702.03673, 2017
442017
Convergence rates for a class of estimators based on stein’s identity
CJ Oates, J Cockayne, FX Briol, M Girolami
arXiv preprint arXiv:1603.03220, 2016
29*2016
Probabilistic meshless methods for partial differential equations and Bayesian inverse problems
J Cockayne, C Oates, TJ Sullivan, M Girolami
222016
On the sampling problem for kernel quadrature
FX Briol, CJ Oates, J Cockayne, WY Chen, M Girolami
Proceedings of the 34th International Conference on Machine Learning-Volumeá…, 2017
132017
Bayesian probabilistic numerical methods, 2017
J Cockayne, C Oates, TJ Sullivan, M Girolami
arXiv preprint arXiv:1702.03673, 0
12
Probabilistic numerical methods for PDE-constrained Bayesian inverse problems
J Cockayne, C Oates, T Sullivan, M Girolami
AIP Conference Proceedings 1853 (1), 060001, 2017
112017
Bayesian probabilistic numerical methods for industrial process monitoring
C Oates, J Cockayne, RG Aykroyd
arXiv preprint arXiv:1707.06107, 2017
82017
Probabilistic numerical methods for partial differential equations and Bayesian inverse problems
J Cockayne, C Oates, T Sullivan, M Girolami
arXiv preprint arXiv:1605.07811, 2016
62016
Bayesian probabilistic numerical methods in time-dependent state estimation for industrial hydrocyclone equipment
CJ Oates, J Cockayne, RG Aykroyd, M Girolami
Journal of the American Statistical Association, 1-27, 2019
52019
Probabilistic meshless methods for Bayesian inverse problems
J Cockayne, CJ Oates, T Sullivan, M Girolami
arXiv no. 1605.07811, 2016
42016
Optimality criteria for probabilistic numerical methods
C Oates, J Cockayne, D Prangle, TJ Sullivan, M Girolami
arXiv preprint arXiv:1901.04326, 2019
32019
Probabilistic linear solvers: A unifying view
S Bartels, J Cockayne, ICF Ipsen, M Girolami, P Hennig
arXiv preprint arXiv:1810.03398, 2018
32018
Contributed Discussion on Article by Chkrebtii, Campbell, Calderhead, and Girolami
FX Briol, J Cockayne, O Teymur
International Society for Bayesian Analysis, 2016
32016
A Bayesian conjugate gradient method
J Cockayne, CJ Oates, ICF Ipsen, M Girolami
Bayesian Analysis, 2018
22018
Comments on" Bayesian Solution Uncertainty Quantification for Differential Equations" by Chkrebtii, Campbell, Calderhead & Girolami
FX Briol, J Cockayne, O Teymur
arXiv preprint arXiv:1610.06752, 2016
22016
A Role for Symmetry in the Bayesian Solution of Differential Equations
J Wang, J Cockayne, CJ Oates
arXiv preprint arXiv:1906.10564, 2019
2019
Probabilistic Linear Solvers
J Cockayne, C Oates, I Ipsen, M Girolami
2019
Exponential Stability of Solutions to Stochastic Differential Equations Driven by G-LÚvy Process
B Wang, H Gao
Applied Mathematics & Optimization, 1-28, 2018
2018
Bayesian Solution Uncertainty Quantification for Differential Equations
J Cockayne
BAYESIAN ANALYSIS 11 (4), 1290-1291, 2016
2016
Comments on" Bayesian Solution Uncertainty Quantification for Differential Equations" by Chkrebtii, Campbell, Calderhead & Girolami
J Cockayne
arXiv preprint arXiv:1610.08363, 2016
2016
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
Articoli 1–20