Fig. 1
From: Bayesian network modelling to identify on-ramps to childhood obesity
An example of directed acyclic graph (DAG) containing four nodes. A directed edge between two nodes may indicate a causal relationship. For instance, SE → BMI1 could be interpreted as SE impacts BMI1. SE denotes socio-economic status, BMI1 denotes the primary caregiver’s BMI, BMI2 denotes the second caregiver’s BMI, and BMI denotes the child’s BMI. Panel (a) is the example DAG and panel (b) shows its corresponding completed partially directed acyclic graph, which will be discussed in section 'Learning a Bayesian network'