Chris. J. Oates
Chris. J. Oates
Chair in Statistics, Newcastle University
Verified email at ncl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Control functionals for Monte Carlo integration
CJ Oates, M Girolami, N Chopin
arXiv preprint arXiv:1410.2392, 2014
1432014
Probabilistic integration: A role in statistical computation?
FX Briol, CJ Oates, M Girolami, MA Osborne, D Sejdinovic
Statistical Science 34 (1), 1-22, 2019
117*2019
Bayesian probabilistic numerical methods
J Cockayne, CJ Oates, TJ Sullivan, M Girolami
SIAM Review 61 (4), 756-789, 2019
71*2019
Network Inference and Biological Dynamics
CJ Oates, S Mukherjee
Arxiv preprint arXiv:1112.1047, 2011
712011
Frank-Wolfe Bayesian quadrature: Probabilistic integration with theoretical guarantees
FX Briol, C Oates, M Girolami, MA Osborne
Advances in Neural Information Processing Systems, 1162-1170, 2015
562015
Causal network inference using biochemical kinetics
CJ Oates, F Dondelinger, N Bayani, J Korkola, JW Gray, S Mukherjee
Bioinformatics 30 (17), i468-i474, 2014
472014
Stein points
WY Chen, L Mackey, J Gorham, FX Briol, CJ Oates
arXiv preprint arXiv:1803.10161, 2018
442018
The controlled thermodynamic integral for Bayesian model evidence evaluation
CJ Oates, T Papamarkou, M Girolami
Journal of the American Statistical Association 111 (514), 634-645, 2016
41*2016
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
39*2016
RNA editing generates cellular subsets with diverse sequence within populations
D Harjanto, T Papamarkou, CJ Oates, V Rayon-Estrada, FN Papavasiliou, ...
Nature communications 7, 12145, 2016
312016
Exact estimation of multiple directed acyclic graphs
CJ Oates, JQ Smith, S Mukherjee, J Cussens
Statistics and Computing 26 (4), 797-811, 2016
312016
A Bayes-Sard cubature method
T Karvonen, CJ Oates, S Sarkka
Advances in Neural Information Processing Systems, 5882-5893, 2018
30*2018
Control functionals for quasi-Monte Carlo integration
C Oates, M Girolami
Artificial Intelligence and Statistics, 56-65, 2016
24*2016
Investigation of the widely applicable Bayesian information criterion
N Friel, JP McKeone, CJ Oates, AN Pettitt
Statistics and Computing 27 (3), 833-844, 2017
212017
Probabilistic meshless methods for partial differential equations and Bayesian inverse problems
J Cockayne, C Oates, TJ Sullivan, M Girolami
202016
Exploiting multi-core architectures for reduced-variance estimation with intractable likelihoods
N Friel, A Mira, CJ Oates
Bayesian Analysis 11 (1), 215-245, 2016
182016
A stochastic model dissects cell states in biological transition processes
JW Armond, K Saha, AA Rana, CJ Oates, R Jaenisch, M Nicodemi, ...
Scientific reports 4, 3692, 2014
182014
Joint estimation of multiple related biological networks
CJ Oates, J Korkola, JW Gray, S Mukherjee
The Annals of Applied Statistics 8 (3), 1892-1919, 2014
18*2014
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 114 (528), 1518-1531, 2019
15*2019
On the sampling problem for kernel quadrature
FX Briol, CJ Oates, J Cockayne, WY Chen, M Girolami
arXiv preprint arXiv:1706.03369, 2017
152017
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