Causal inference

Overview
- Causal inference in statistics:An overview (2009) Judea Pearl
- An Introduction to Causal Inference (2010) Judea Pearl
- Causality and statistical learning (2011) Andrew Gelman
- Causal discovery and inference: concepts and recent methodological advances (2016) Peter Spirtes, Kun Zhang
- A Survey of Learning Causality with Data: Problems and Methods (2018) Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu
- Statistical Tools for Causal Inference (2020) The SKY Community
- The fundamental problem of causal inference (Wiki)

PC Peter-Clark Algorithm
- Copula PC Algorithm for Causal Discoveryfrom Mixed Data (2016) Ruifei Cui, Perry Groot, Tom Heskes
FCI Fast Causal Inference
- Causal Inference in the Presence of Latent Variables and Selection Bias (1995) Peter Spirtes, Christopher Meek, Thomas Richardson
- Search for Additive Nonlinear TimeSeries Causal Models (2008) Tianjiao Chu, Clark Glymour
GES Greedy Equivalence Search
- Optimal Structure Identification With Greedy Search (2002) David Maxwell Chickering
FCM Functional Causal Models
ANM Additive Noise Models
- Causal discovery of linear acyclic models with arbitrary distributions (2008) Patrik O. Hoyer, Aapo Hyvarinen, Richard Scheines, Peter Spirtes, Joseph Ramsey, Gustavo Lacerda, Shohei Shimizu
- Nonlinear causal discovery with additive noise models (2009) Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij, Jonas Peters, Bernhard Schölkop
Granger causality
- Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969) C. W. J. Granger
- Aalyzing multiple nonlinear time series with extended Granger causality (2004) Yonghong Chena, Govindan Rangarajanc, Jianfeng Fenge, Mingzhou Ding
- Large-scale nonlinear Granger causality: A data-driven, multivariateapproach to recovering directed networks from short time-series data (2020) Axel Wismuller, Adora M. DSouza, Anas Z. Abidin

Software