Bayesian causal inference is a probabilistic approach to estimating the causal effects of an intervention or treatment by modeling the likelihood of the outcome given the treatment and other variables.
Bayesian causal inference is a probabilistic approach to estimating the causal effects of an intervention or treatment by modeling the likelihood of the outcome given the treatment and other variables.