Do operator

From Machinelearning
Revision as of 20:27, 2 June 2018 by IssaRice (talk | contribs) (Created page with "The '''''do'' operator''' is used in causal inference to denote an intervention. Given random variables <math>X,Y</math>, we write <math>\Pr(Y=y \mid \mathit{do}(X=x))</math>...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)

The do operator is used in causal inference to denote an intervention. Given random variables X,Y, we write Pr(Y=ydo(X=x)) to mean the probability that Y=y given we intervene and set X to be x.

In general Pr(Y=ydo(X=x)) is not the same as conditioning on X=x, i.e. Pr(Y=yX=x).