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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 methods group develops modern methods for statistical modelling and inference. Particular interests include: graphical models, causal inference, medical statistics, phylogenetics, statistical genomics.
Faculty
![Robin Evans](/img/people/evans.jpg)
Robin Evans
Graphical models, causality, algebraic statistics
![Chris Holmes](/img/people/c-holmes_square.jpg)
Chris Holmes
Decision theory, biostatistics and precision medicine, probabilistic learning under model misspecification
![Geoff Nicholls](/img/people/nichollsPB.jpg)
Geoff Nicholls
Statistical modeling, Bayes Methods, Monte Carlo Methods.
![Dino Sejdinovic](/img/people/sejdinovic.jpg)
Dino Sejdinovic
Statistical machine learning, kernel methods, nonparametric statistics
Graduate Students
![Shahine Bouabid](/img/people/bouabid.jpg)
Shahine Bouabid
Kernel Methods, Gaussian processes, Climate emulation
![Christian Carmona Perez](/img/people/chris_carmona.jpg)
Christian Carmona Perez
Methods for Bayesian modeling under mispecification
![Anthony Caterini](/img/people/caterini.jpg)
Anthony Caterini
High-Dimensional Statistics, Monte Carlo Methods, Variational Inference