#causally — Public Fediverse posts

'Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables', by Feng Xie, Biwei Huang, Zhengming Chen, Ruichu Cai, Clark Glymour, Zhi Geng, Kun Zhang.

http://jmlr.org/papers/v25/23-1052.html

#causal #causally #covariance

'Naive regression requires weaker assumptions than factor models to adjust for multiple cause confounding', by Justin Grimmer, Dean Knox, Brandon Stewart.

http://jmlr.org/papers/v24/21-0515.html

#confounders #confounder #causally

'Naive regression requires weaker assumptions than factor models to adjust for multiple cause confounding', by Justin Grimmer, Dean Knox, Brandon Stewart.

http://jmlr.org/papers/v24/21-0515.html

#confounders #confounder #causally

'Naive regression requires weaker assumptions than factor models to adjust for multiple cause confounding', by Justin Grimmer, Dean Knox, Brandon Stewart.

http://jmlr.org/papers/v24/21-0515.html

#confounders #confounder #causally

'Naive regression requires weaker assumptions than factor models to adjust for multiple cause confounding', by Justin Grimmer, Dean Knox, Brandon Stewart.

http://jmlr.org/papers/v24/21-0515.html

#confounders #confounder #causally

'Naive regression requires weaker assumptions than factor models to adjust for multiple cause confounding', by Justin Grimmer, Dean Knox, Brandon Stewart.

http://jmlr.org/papers/v24/21-0515.html

#confounders #confounder #causally