2 citations · 3 across the 5 of their papers we have counts for
3 papers · 1 filter
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…
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…
A conditional independence framework for coherent modularized inference
Manuele Leonelli, Martine J. Barons, Jim Q. Smith
Inference in current domains of application are often complex and require us to integrate the expertise of a variety of disparate panels of experts and models coherently. In this p…