activity
20072023
most citedPrinciples of Bayesian Inference using General Divergence Criteria

77 citations · 278 across the 45 of their papers we have counts for

collaborators

47 papers

stat.AP2023★ 1 cited

Using infinite server queues with partial information for occupancy prediction

Nikki Sonenberg, Victoria Volodina, Peter G. Challenor +1

Motivated by demand prediction for the custodial prison population in England and Wales, this paper describes an approach to the study of service systems using infinite server queu…

stat.ME2023

On the Stability of General Bayesian Inference

Jack Jewson, Jim Q. Smith, Chris Holmes

We study the stability of posterior predictive inferences to the specification of the likelihood model and perturbations of the data generating process. In modern big data analyses…

stat.ME2022

Scalable Model Selection for Staged Trees: Mean-posterior Clustering and Binary Trees

Peter Strong, Jim Q. Smith

Several structure-learning algorithms for staged trees, asymmetric extensions of Bayesian networks, have been proposed. However, these either do not scale efficiently as the number…

stat.ME2022★ 4 cited

Causal chain event graphs for remedial maintenance

Xuewen Yu, Jim Q. Smith

The analysis of system reliability has often benefited from graphical tools such as fault trees and Bayesian networks. In this article, instead of conventional graphical tools, we…

stat.AP2022

A Bayesian Decision Support System in Energy Systems Planning

Victoria Volodina, Nikki Sonenberg, Peter Challenor +1

Gaussian Process (GP) emulators are widely used to approximate complex computer model behaviour across the input space. Motivated by the problem of coupling computer models, recent…

stat.ME2022

Bayesian Model Averaging of Chain Event Graphs for Robust Explanatory Modelling

Peter Strong, Jim Q Smith

Chain Event Graphs (CEGs) are a widely applicable class of probabilistic graphical model that can represent context-specific independence statements and asymmetric unfoldings of ev…