10 citations · 15 across the 9 of their papers we have counts for
9 papers
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…
Where the Bee Sucks -- A Dynamic Bayesian Network Approach to Decision Support for Pollinator Abundance Strategies
Martine J. Barons, Aditi Shenvi
For policymakers wishing to make evidence-based decisions, one of the challenges is how to combine the relevant information and evidence in a coherent and defensible manner in orde…
Anticipated impacts of Brexit scenarios on UK food prices and implications for policies on poverty and health: a structured expert judgement update
Martine J Barons, Willy Aspinall
Food insecurity is associated with increased risk for several health conditions and with increased national burden of chronic disease. Key determinants for household food insecurit…
A decision support system for addressing food security in the UK
Martine J. Barons, Thais C. O. Fonseca, Andy Davis +1
This paper presents an integrating decision support system to model food security in the UK. In ever-larger dynamic systems, such as the food system, it is increasingly difficult f…
Anticipated impacts of Brexit scenarios on UK food prices and implications for policies on poverty and health: a structured expert judgement approach
Martine J Barons, Willy Aspinall
Food insecurity is associated with increased risk for several health conditions and with poor chronic disease management. Key determinants for household food insecurity are income…
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…
A marked renewal process model for the size of a honey bee colony
Aihua Xia, Richard M. Huggins, Martine J. Barons +1
Many areas of agriculture rely on honey bees to provide pollination services and any decline in honey bee numbers can impact on global food security. In order to understand the dyn…
Coherent Frameworks for Statistical Inference serving Integrating Decision Support Systems
Jim Q. Smith, Martine J. Barons, Manuele Leonelli
A subjective expected utility policy making centre, managing complex, dynamic systems, needs to draw on the expertise of a variety of disparate panels of experts and integrate this…