Chris. J. Oates
Chris. J. Oates
Chair in Statistics, Newcastle University
Email verificata su - Home page
TitoloCitata daAnno
Control functionals for Monte Carlo integration
CJ Oates, M Girolami, N Chopin
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017
Probabilistic integration: A role in statistical computation?
FX Briol, CJ Oates, M Girolami, MA Osborne, D Sejdinovic
Statistical Science 34 (1), 1-22, 2019
Network Inference and Biological Dynamics
CJ Oates, S Mukherjee
Arxiv preprint arXiv:1112.1047, 2011
Bayesian probabilistic numerical methods
J Cockayne, C Oates, T Sullivan, M Girolami
arXiv preprint arXiv:1702.03673, 2017
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
Causal network inference using biochemical kinetics
CJ Oates, F Dondelinger, N Bayani, J Korkola, JW Gray, S Mukherjee
Bioinformatics 30 (17), i468-i474, 2014
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
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
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
Probabilistic meshless methods for partial differential equations and Bayesian inverse problems
J Cockayne, C Oates, TJ Sullivan, M Girolami
Exact estimation of multiple directed acyclic graphs
CJ Oates, JQ Smith, S Mukherjee, J Cussens
Statistics and Computing 26 (4), 797-811, 2016
Control functionals for quasi-Monte Carlo integration
C Oates, M Girolami
arXiv preprint arXiv:1501.03379, 2015
Stein points
WY Chen, L Mackey, J Gorham, FX Briol, CJ Oates
arXiv preprint arXiv:1803.10161, 2018
Investigation of the widely applicable Bayesian information criterion
N Friel, JP McKeone, CJ Oates, AN Pettitt
Statistics and Computing 27 (3), 833-844, 2017
A Bayes-Sard cubature method
T Karvonen, CJ Oates, S Sarkka
Advances in Neural Information Processing Systems, 5882-5893, 2018
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
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
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-Volume …, 2017
Probabilistic models for integration error in the assessment of functional cardiac models
C Oates, S Niederer, A Lee, FX Briol, M Girolami
Advances in Neural Information Processing Systems, 110-118, 2017
Network inference using steady-state data and Goldbeter–koshland kinetics
CJ Oates, BT Hennessy, Y Lu, GB Mills, S Mukherjee
Bioinformatics 28 (18), 2342-2348, 2012
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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