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Professor François Caron
Professor of Statistics, Acting MSc in Statistical Science Course Director

Biography

I am a Professor of Statistics at the University of Oxford and a Tutorial Fellow of Keble College.

Research Interests

  • Statistical machine learning
  • Computational statistics
  • Bayesian statistics
  • Bayesian nonparametrics
  • Network analysis

I am interested in the development of statistical models and computational procedures for the analysis of structured data. I have a particular interest in Bayesian nonparametrics and Monte Carlo methods.

Publications

Sodjo, J. et al. (2016) “Joint Segmentation of Multiple Images with Shared Classes: A Bayesian Nonparametrics Approach”, in. Institute of Electrical and Electronics Engineers (IEEE), pp. 1–5.
Todeschini, A., Miscouridou, X. and Caron, F. (2016) “Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities”, arXiv.
Caron, F. (2016) “Book Review: Nonlinear Time Series: Theory, methods, and applications with R examples, by Randal Douc, Eric Moulines, David S. Stoffer”, Statistics and Computing, 26(1-2), pp. 571–572.
Gray-Davies, T., Holmes, C. and Caron, F. (2015) “Scalable Bayesian nonparametric regression via a Plackett-Luce model for conditional ranks”, arXiv.
Holmes, C. et al. (2015) “Two-sample Bayesian Nonparametric Hypothesis Testing”, Bayesian Analysis, 10(2).
Todeschini, A. et al. (2014) “Biips: Software for Bayesian Inference with Interacting Particle Systems”, arXiv.
Minvielle, P. et al. (2014) “Particle MCMC for Bayesian Microwave Control”, in Journal of Physics Conference Series. IOP Publishing, p. 012007.
Caron, F. and Bornn, L. (2014) “Comment on Article by Finegold and Drton”, Bayesian Analysis, 9(3).
Caron, F., Teh, Y. and Murphy, T. (2014) “Bayesian nonparametric Plackett–Luce models for the analysis of preferences for college degree programmes”, The Annals of Applied Statistics, 8(2), pp. 1145–1181.
Minvielle, P. et al. (2014) “Particle MCMC for Bayesian Microwave Control”, arXiv.

Contact Details

Tutorial Fellow at Keble College

Office: 1.20

Tel: +44 (0)1865 282 865