4 papers
Operationalising Weaker Faithfulness: Recovery, Ambiguity and Computational Limits
Cillian Hourican, Rick Quax
Variables can predict an outcome jointly while each is individually independent of it, causing structure learners to discard informative links. We investigate how to operationalise…
Beyond city pairs: Higher-order information in urban growth across borders
Cillian Hourican, Debraj Roy
We apply higher-order information measures to urban growth across borders and spatial units. We analyse 8,808 functional urban areas using gridded GDP estimates allocated from nati…
Scalable partial information decomposition for symptom networks via supervised embeddings
Cillian Hourican, Eric Dignum, Rick Quax +1
Pairwise relationships among mental-health symptoms are routinely summarised asscalar edge weights, which cannot express whether two symptoms carry overlapping information about a…
Multilayer Network of Cardiovascular Diseases and Depression via Multipartite Projection
Jie Li, Cillian Hourican, Pashupati P. Mishra +10
Cardiovascular diseases (CVD) and depression exhibit significant comorbidity, which is highly predictive of poor clinical outcomes. Yet, the underlying biological pathways remain c…