4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.AI2024
Causal knowledge engineering: A case study from COVID-19
Steven Mascaro, Yue Wu, Ross Pearson +4
COVID-19 appeared abruptly in early 2020, requiring a rapid response amid a context of great uncertainty. Good quality data and knowledge was initially lacking, and many early mode…
cs.AI2024★ 2 cited
The practice of qualitative parameterisation in the development of Bayesian networks
Steven Mascaro, Owen Woodberry, Yue Wu +1
The typical phases of Bayesian network (BN) structured development include specification of purpose and scope, structure development, parameterisation and validation. Structure dev…
cs.AI2016★ 4 cited
Latent Variable Discovery Using Dependency Patterns
Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson +1
The causal discovery of Bayesian networks is an active and important research area, and it is based upon searching the space of causal models for those which can best explain a pat…