231 citations · 312 across the 21 of their papers we have counts for
22 papers
Bayesian inference on the order of stationary vector autoregressions
Rachel L. Binks, Sarah E. Heaps, Mariella Panagiotopoulou +2
Vector autoregressions (VARs) are a widely used tool for modelling multivariate time-series. It is common to assume a VAR is stationary; this can be enforced by imposing the statio…
A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant
Naomi E. Hannaford, Sarah E. Heaps, Tom M. W. Nye +4
Proper function of a wastewater treatment plant (WWTP) relies on maintaining a delicate balance between a multitude of competing microorganisms. Gaining a detailed understanding of…
Bayesian spatio-temporal model for high-resolution short-term forecasting of precipitation fields
Stephen Richard Johnson, Sarah Elizabeth Heaps, Kevin James Wilson +1
With extreme weather events becoming more common, the risk posed by surface water flooding is ever increasing. In this work we propose a model, and associated Bayesian inference sc…
Functional probabilistic programming for scalable Bayesian modelling
Jonathan Law, Darren Wilkinson
Bayesian inference involves the specification of a statistical model by a statistician or practitioner, with careful thought about what each parameter represents. This results in p…
A Review of Stochastic Block Models and Extensions for Graph Clustering
Clement Lee, Darren J Wilkinson
There have been rapid developments in model-based clustering of graphs, also known as block modelling, over the last ten years or so. We review different approaches and extensions…
A Social Network Analysis of Articles on Social Network Analysis
Clement Lee, Darren J Wilkinson
A collection of articles on the statistical modelling and inference of social networks is analysed in a network fashion. The references of these articles are used to construct a ci…