Clinic Team

Nicole Augustin

Methods: Spatio-temporal models, spatial models, health statistics, spatial confounding, model selection uncertainty

Applications: ecology, Accelerometer data, Fisheries stock management, Forest health monitoring, Physical activity, Tobacco control

Tim Cannings

Methods: classification and clustering, high-dimensional data, nonparametric, random projections, data perturbation, noisy and incomplete data

Applications: big data analytics, cancer therapy, genomic data, precision medicine

Gregoire Clarte

Methods: Likelihood free inference, Bayesian inference, modelling. 

Applications: Application to humanities

Victor Elvira

Methods: Bayesian inference, computational statistics, Monte Carlo methods, state-space models, statistical statistics

Applications: communications, localization, remote sensing, tracking, wireless sensor networks

Amanda Lenzi

Methods: spatiotemporal statistics, Bayesian inference, deep learning, statistics of extremes

Applications:  geoscience, energy, environmental science

Gordon Ross

Methods: Bayesian inference, time series, nonparametrics, point process

Applications: finance, risk, cybersecurity, earthquakes, seismology

Torben Sell

Methods: Markov chain Monte Carlo, Piecewise deterministic Markov processes, Particle filtering, Function space sampling methods

Applications: Stochastic control, Bayesian neural networks

Simon Wood

Methods: fast stable computation, MGCV, penalized regression, Smoothing

Applications: energy, environment