4 citations · 6 across the 3 of their papers we have counts for
3 papers · 1 filter
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…
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…
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…