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04/04/2023
Learning from data with structured missingness
Missing data are an unavoidable complication in many machine learning ta...
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12/05/2022
Where the Bee Sucks – A Dynamic Bayesian Network Approach to Decision Support for Pollinator Abundance Strategies
For policymakers wishing to make evidence-based decisions, one of the ch...
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11/21/2022
cegpy: Modelling with Chain Event Graphs in Python
Chain event graphs (CEGs) are a recent family of probabilistic graphical...
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11/07/2022
Beyond Conjugacy for Chain Event Graph Model Selection
Chain event graphs are a family of probabilistic graphical models that g...
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06/30/2022
On Bayesian Dirichlet Scores for Staged Trees and Chain Event Graphs
Chain event graphs (CEGs) are a recent family of probabilistic graphical...
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01/12/2021
Decision Support for COVID-19 Policy Including Poverty Drivers
In this paper we present a multi-attribute decision support framework fo...
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06/29/2020
Propagation for Dynamic Continuous Time Chain Event Graphs
Chain Event Graphs (CEGs) are a family of event-based graphical models t...
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06/29/2020
Constructing a Chain Event Graph from a Staged Tree
Chain Event Graphs (CEGs) are a recent family of probabilistic graphical...
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11/21/2018
