Chris. J. Oates - Google Scholar

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Citations	1050	983
h-index	17	15
i10-index	31	29

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Co-authors

Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
Jon CockayneUniversity of WarwickVerified email at warwick.ac.uk
François-Xavier BriolLecturer in Statistical Science, University College LondonVerified email at turing.ac.uk
Michael A OsborneProfessor of Machine Learning, University of OxfordVerified email at robots.ox.ac.uk
T. J. SullivanUniversity of Warwick and Zuse Institute BerlinVerified email at warwick.ac.uk
Dino SejdinovicUniversity of OxfordVerified email at stats.ox.ac.uk
Joe GrayBiomedical Engineering, Oregon Health and Science UniversityVerified email at ohsu.edu
Nicolas ChopinProfessor of Statistics, CREST (ENSAE)Verified email at ensae.fr
Toni KarvonenResearch Fellow, The Alan Turing InstituteVerified email at turing.ac.uk
Wilson Ye ChenThe University of SydneyVerified email at sydney.edu.au
Gordon MillsOregon Health & Science UniversityVerified email at ohsu.edu
Simo SärkkäAssociate Professor, Aalto UniversityVerified email at aalto.fi
Lester MackeyMicrosoft ResearchVerified email at microsoft.com
J.Q. SmithProfessor of Statistics University of WarwickVerified email at warwick.ac.uk
Nial FrielProfessor of Statistics, University College Dublin, COSTNET CA15109Verified email at ucd.ie
Theodore PapamarkouResearch scientist at Oak Ridge National LaboratoryVerified email at ornl.gov
James CussensDept of Computer Science, University of YorkVerified email at york.ac.uk
Jackson GorhamData ScientistVerified email at opendoor.com
Ilse C. F. IpsenProfessor of Mathematics, North Carolina State UniversityVerified email at ncsu.edu
Antonietta MiraProfessore di Statistica, Università della Svizzera italiana, LuganoVerified email at usi.ch

Chris. J. Oates

Chair in Statistics, Newcastle University

Verified email at ncl.ac.uk - Homepage

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Control functionals for Monte Carlo integration CJ Oates, M Girolami, N Chopin arXiv preprint arXiv:1410.2392, 2014	138	2014
Probabilistic integration: A role in statistical computation? FX Briol, CJ Oates, M Girolami, MA Osborne, D Sejdinovic Statistical Science 34 (1), 1-22, 2019	113*	2019
Network Inference and Biological Dynamics CJ Oates, S Mukherjee Arxiv preprint arXiv:1112.1047, 2011	71	2011
Bayesian probabilistic numerical methods J Cockayne, CJ Oates, TJ Sullivan, M Girolami SIAM Review 61 (4), 756-789, 2019	65*	2019
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	55	2015
Causal network inference using biochemical kinetics CJ Oates, F Dondelinger, N Bayani, J Korkola, JW Gray, S Mukherjee Bioinformatics 30 (17), i468-i474, 2014	47	2014
Stein points WY Chen, L Mackey, J Gorham, FX Briol, CJ Oates arXiv preprint arXiv:1803.10161, 2018	42	2018
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	40*	2016
A Bayes-Sard cubature method T Karvonen, CJ Oates, S Sarkka Advances in Neural Information Processing Systems, 5882-5893, 2018	30*	2018
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	29	2016
Exact estimation of multiple directed acyclic graphs CJ Oates, JQ Smith, S Mukherjee, J Cussens Statistics and Computing 26 (4), 797-811, 2016	29	2016
Control functionals for quasi-Monte Carlo integration C Oates, M Girolami Artificial Intelligence and Statistics, 56-65, 2016	23*	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	21	2017
Probabilistic meshless methods for partial differential equations and Bayesian inverse problems J Cockayne, C Oates, TJ Sullivan, M Girolami	19	2016
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	18	2014
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
Exploiting multi-core architectures for reduced-variance estimation with intractable likelihoods N Friel, A Mira, CJ Oates Bayesian Analysis 11 (1), 215-245, 2016	17	2016
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	15	2017

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