bayesian causal reasoning

Bayesian causal reasoning refers to the process of using Bayesian statistics and probability theory to understand and analyze cause-effect relationships between variables. It helps in inferring the probability and strength of a cause leading to an effect, and vice versa, based on available data and prior knowledge.

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