PFD-BDCM is a diffusion-based structural causal model that represents dynamic spatio-temporal confounders via conditional autoregressive processes and functional data via basis expansions, with theoretical preservation of causal effects and empirical outperformance on synthetic and air-pollution dat
Efficacy of china's clean air actions to tackle pm2.5 pollution between 2013 and 2020
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Partially Functional Dynamic Backdoor Diffusion-based Causal Model
PFD-BDCM is a diffusion-based structural causal model that represents dynamic spatio-temporal confounders via conditional autoregressive processes and functional data via basis expansions, with theoretical preservation of causal effects and empirical outperformance on synthetic and air-pollution dat