3 papers
stat.ME2021
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…
stat.AP2020
On Bayesian inference for the Extended Plackett-Luce model
Stephen R. Johnson, Daniel A. Henderson, Richard J. Boys
The analysis of rank ordered data has a long history in the statistical literature across a diverse range of applications. In this paper we consider the Extended Plackett-Luce mode…
stat.ME2018
Revealing subgroup structure in ranked data using a Bayesian WAND
Stephen R. Johnson, Daniel A. Henderson, Richard J. Boys
Ranked data arise in many areas of application ranging from the ranking of up-regulated genes for cancer to the ranking of academic statistics journals. Complications can arise whe…