Fig. 2: An example causal Bayesian network for multi-hazards and impacts estimation in seismic events. | npj Natural Hazards

Fig. 2: An example causal Bayesian network for multi-hazards and impacts estimation in seismic events.

From: Scalable variational learning for noisy-OR Bayesian networks with normalizing flows for complex cascading disaster systems

Fig. 2: An example causal Bayesian network for multi-hazards and impacts estimation in seismic events.The alternative text for this image may have been generated using AI.

N in the figure refers to N locations in a target area. Green rectangles refer to the known variables. Blue circles refer to unobserved or unknown nodes. γi are the unknown causal parameters that quantify the causal relations among parent and child nodes. ηj are the unknown parameters in normalizing flows.

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