Research interests
My research interests range from theoretical aspects of Bayesian procedures, both parametric and nonparametric, to more methodological developments. From a theoretical perspective I am interested in the interface between Bayesian and frequentist approaches, looking at frequentist properties of Bayesian methods in complex, high dimensional or nonparametric models. From a more methodological perspective, I have worked on MCMC or related algorithms or on the elicitation of subjective priors.- Bayesian Statistics
- Bayesian nonparametrics, complex and high dimensional models, mixture models
- Asymptotics
- Model selection and tests
- Prior elicitation
- Bayesian computations
PhDs/postdocs
Current
Cian Naik . Co - supervised with F. Caron on Bayesian network modelsFrancesca Panero. Co - supervised with F. Caron on asymptotics for Bayesian network models
Soufiane Hayou . Co - supervised with A. Doucet on Deep neural network and Bayesian nonparametrics
Alumni
PhD studentsSoleiman Khazaei, Julyan Arbel, Jean-Bernard Salomond, Zoe van Havre, Elodie Vernet, Zacharie Naulet
Postdoctorates
Willem Kruijer; Bartek Knapik; Botond Szabo; William Yoo
Scientific activities
Editorial work
- Associate editor of the Annals of statistics
- Associate editor of Bernoulli
- Associate editor of JASA Theory and Methods
- Associate editor of the Australian and New Zealand Journal of Statistics
- passed associate editor of Stats
current activities within ISBA (International Society of Bayesian Analysis)
- I am a member of the de Groot prize committee 2017-2018
- I am chair if the fellows committee 2017-2018
- I am a fellow of ISBA
current activities within IMS (Institute of Mathematical Statistics)
I am program secretary of the IMS and a fellow of the IMS.
Teaching
SB3a/MSc Foundations of statistics (Michaelmas Term 2018)Contact Information
Judith RousseauDepartment of Statistics
University of Oxford
24-29 St Giles
OX1 3LB, Oxford
United Kingdom
Phone: +44 (0)1865 282 865
Email: judith.rousseau@stats.ox.ac.uk