Causal Inference with Latent Variables: Recent Advances and Future Prospectives

arXiv:2406.13966v1 Announce Type: new
Abstract: Causality lays the foundation for the trajectory of our world. Causal inference (CI), which aims to infer intrinsic causal relations among variables of interest, has emerged as a crucial research topic. Nevertheless, the lack of observation of important variables (e.g., confounders, mediators, exogenous variables, etc.) severely compromises the reliability of CI methods. The issue may arise from the inherent difficulty in measuring the variables. Additionally, in observational studies where variables are passively recorded, certain covariates …

abstract advances arxiv causal causal inference causality cs.lg etc exogenous foundation future important inference intrinsic observation relations research stat.me trajectory type variables world