Computational methods in statistics

This subclass comprises research and experimental development in computational methods in statistics.

Parent Category

H

Holmes-Cerfon, Miranda

Department of Mathematics, Faculty of Science

Faculty (G+PS eligible/member)

Mathematical modelling and simulation; Computational methods in statistics; Numerical analysis; Thermodynamics and statistical physics

M

McDonald, Daniel

Department of Statistics, Faculty of Science

Faculty (G+PS eligible/member)

High dimensional data analysis; Computational methods in statistics; Statistical theory and modeling; Machine learning; Epidemiology (except nutritional and veterinary epidemiology); Methods and models for epidemiological forecasting; Estimation and quantification of prediction risk; Evaluating the predictive abilities of complex dependent data; Application of statistical learning techniques to time series prediction problems; Investigations of cross-validation and the bootstrap for risk estimation

P

Pleiss, Geoffrey

Department of Statistics, Faculty of Science

Faculty (G+PS eligible/member)

Statistical theory and modeling; Machine learning; Computational methods in statistics; Spatial statistics; Numerical analysis; Machine Learning; neural networks; Gaussian processes; Bayesian optimization; reliable deep learning

W

Welch, William

Department of Statistics, Faculty of Science

Faculty (G+PS eligible/member)

Computational methods in statistics; Computer experiments; Design and analysis of experiments; Statistical machine learning; Environmental modellign

Academic Units

French Name

Méthodes de calcul en statistique

French Description

Cette sous-classe comprend la recherche et le développement expérimental en méthodes de calcul en statistique.