2019
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems
NeurIPS 2019poster
This manuscript contributes a general and practical framework for casting a Markov process model of a system at equilibrium as a structural causal model, and carrying out counterfactual inference. Markov processes mathematically describe the mechanisms in the system, and predict the system’s equilib…