Variance

From Machinelearning
Revision as of 03:52, 16 January 2019 by IssaRice (talk | contribs)

The variance of a random variable X is defined as Var(X):=E[(XEX)2], where EX is the expectation of X.

Notation

Since the square root of the variance is the standard deviation, if we have a simple notation for the standard deviation, such as σ, then we can denote the variance as σ2.

Questions/things to explain

  • vector space interpretation [1] see also the beginning of [2]