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Computational Statistics
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Machine Learning
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Statistical Methodology
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Statistical Theory
Computational Statistics
Machine Learning
Statistical Methodology
Statistical Theory
The statistical theory group works on the investigation of fundamental principles to perform estimation, inference and prediction in large-scale high-dimensional models, with expertise in both asymptotic and non-asymptotic methods, graphical models and causal inference, Monte Carlo methods, learning theory and optimisation for machine learning.
Faculty
![George Deligiannidis](/img/people/male.png)
George Deligiannidis
Computational Statistics, Monte Carlo methods
![Robin Evans](/img/people/evans.jpg)
Robin Evans
Graphical models, causality, algebraic statistics
![Patrick Rebeschini](/img/people/rebeschini.jpg)
Patrick Rebeschini
Learning theory, Optimization, Implicit Regularization
![Judith Rousseau](/img/people/IMG_2305.jpg)
Judith Rousseau
Bayesian statistics, Asymptotics, Nonparametric statistics
Graduate Students
![Tyler Farghly](/img/people/farghly.jpg)
Tyler Farghly
Learning theory, Optimisation, Monte Carlo methods
![Jake Fawkes](/img/people/fawkes.jpg)
Jake Fawkes
Causal Inference, Machine Learning, Fairness