activity
20142023
most citedA Comparison of Prior Elicitation Aggregation using the Classical Method and SHELF

29 citations · 37 across the 9 of their papers we have counts for

collaborators

10 papers

stat.AP2023

Hybrid sample size calculations for cluster randomised trials using assurance

S. Faye Williamson, Svetlana V. Tishkovskaya, Kevin J. Wilson

Sample size determination for cluster randomised trials (CRTs) is challenging as it requires robust estimation of the intra-cluster correlation coefficient (ICC). Typically, the sa…

stat.ME2022★ 4 cited

Bayesian design and analysis of two-arm cluster randomised trials using assurance

Kevin J Wilson

We consider the design of a two-arm superiority cluster randomised controlled trial (RCT) with a continuous outcome. We detail Bayesian inference for the analysis of the trial usin…

stat.ME2021★ 1 cited

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

Uncertainty representation for early phase clinical test evaluations: a case study

Sara Graziadio, Kevin J. Wilson

In early clinical test evaluations the potential benefits of the introduction of a new technology into the healthcare system are assessed in the challenging situation of limited av…

stat.ME2020

Multilevel Emulation for Stochastic Computer Models with Application to Large Offshore Wind farms

Jack C. Kennedy, Daniel A. Henderson, Kevin J. Wilson

Renewable energy projects, such as large offshore wind farms, are critical to achieving low-emission targets set by governments. Stochastic computer models allow us to explore futu…

stat.ME2020★ 29 cited

A Comparison of Prior Elicitation Aggregation using the Classical Method and SHELF

Cameron J. Williams, Kevin J. Wilson, Nina Wilson

Subjective Bayesian prior distributions elicited from experts can be aggregated together to form group priors. This paper compares aggregated priors formed by Equal Weight Aggregat…