Bias-variance decomposition of mean squared error
= Bias-variance decomposition of mean squared error
Every estimator with finite second moment satisfies
$$
\operatorname{MSE}_\theta(\widehat\theta)
=\operatorname{Var}_\theta(\widehat\theta)
+\operatorname{Bias}_\theta(\widehat\theta)^2.
$$