Professor François Caron

Professor of Statistics

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

Todeschini, A., Miscouridou, X. and Caron, F. (2020) “Exchangeable random measures for sparse and modular graphs with overlapping communities”, Journal of the Royal Statistical Society Series B: Statistical Methodology, 82(2), pp. 487–520.
Lee, J., James, L., Choi, S. and Caron, F. (2019) “A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure”, in Proceedings of Machine Learning Research. PMLR, pp. 758–767.
Hejblum, B., Alkhassim, C., Gottardo, R., Caron, F. and Thiebaut, R. (2019) “Sequential Dirichlet process mixtures of multivariate skew t-distributions for model-based clustering of flow cytometry data”, Annals of Applied Statistics, 13(1), pp. 638–660.
Sodjo, J., Giremus, A., Dobigeon, N. and Caron, F. (2019) “A Bayesian Nonparametric Model for Unsupervised Joint Segmentation of a Collection of Images”, IEEE ACCESS, 7, pp. 120176–120188.
Ayed, F., Lee, J. and Caron, F. (2019) “Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior”, in 36th International Conference on Machine Learning, ICML 2019, pp. 604–613.
Miscouridou, X., Caron, F. and Teh, Y. (2018) “Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data”, in Advances in Neural Information Processing Systems 31 (NIPS 2018) pre-proceedings. Neural Information Processing Systems Foundation.
Bǎrbos, A., Caron, F., Giovannelli, J. and Doucet, A. (2018) “Clone MCMC: Parallel high-dimensional Gaussian gibbs sampling”, in Advances in Neural Information Processing Systems 30: 31st Annual Conference on Neural Information Processing Systems (NIPS 2017). Curran Associates, pp. 5021–5029.
Caron, F. and Fox, E. (2017) “Sparse graphs using exchangeable random measures”, Journal of the Royal Statistical Society Series B: Statistical Methodology, 79(5), pp. 1295–1366.
Caron, F., Neiswanger, W., Wood, F., Doucet, A. and Davy, M. (2017) “Generalized Polya Urn for Time-Varying Pitman-Yor Processes”, Journal of Machine Learning Research, 18(27), pp. 1–32.
Caron, F. and Matechou, E. (2017) “Modelling individual migration patterns using a Bayesian nonparametric approach for capture-recapture data”, Annals of Applied Statistics, 11(1), pp. 21–40.

Contact Details

Tutorial Fellow at Keble College

Email: caron@stats.ox.ac.uk

Office: 1.20

Tel: +44 (0)1865 282 865

Website: www.stats.ox.ac.uk/~caron/

Research Groups

Computational Statistics and Machine Learning

Statistical Theory and Methodology