Bayesian Approaches to Modelling and Analysis of Big Data

Bayesian methods for modelling and analysis of data are now well established. However, as with many statistical methods, their applicability in the context ‘big data’ is still being explored. This project will consider four questions that relate to ‘scalable Bayes’, that is, Bayesian models and computational methods that scale up to big data problems.

This project links to a number of other projects across the Centre.

Project Partners

Green Acorn