3 papers
stat.ME2025
Structural Refinement of Bayesian Networks for Efficient Model Parameterisation
Kieran Drury, Martine J. Barons, Jim Q. Smith
Many Bayesian network modelling applications suffer from the issue of data scarcity. Hence the use of expert judgement often becomes necessary to determine the parameters of the co…
stat.ME2025
Surjective Independence of Causal Influences for Local Bayesian Network Structures
Kieran Drury, Martine J. Barons, Jim Q. Smith
The very expressiveness of Bayesian networks can introduce fresh challenges due to the large number of relationships they often model. In many domains, it is thus often essential t…
stat.AP2024
Dynamic Bayesian Networks, Elicitation and Data Embedding for Secure Environments
Kieran Drury, Jim Q. Smith
Serious crime modelling typically needs to be undertaken securely behind a firewall where police knowledge and capabilities can remain undisclosed. Data informing an ongoing incide…