Semiparametric approach to causal discovery


Semiparametric approach to causal discovery

Structural equation models (SEM) are mathematical models that can be used to describe data generating processes. These links below would probably be helpful to overview the field of semiparametric methods including LiNGAM for estimating structural equation models. An important application of those methods is causal discovery. Non-Gaussianity and independence are the keys to model identification as in independent component analysis (ICA).

Here are tutorial slides at UAI2010 (and the references) and a survey paper (BHMK, 2014).

Quick links to topics:

---Updated on 22nd Oct 2021.