Tag bias

Introduction to Statistical Learning

Let \(X\) be the vector of all your features (i.e. \(X=(X_{1}, X_{2},\dots, X_{p})\), then the output is: \begin{equation*}...

Some General Concepts of Point Estimation

\(\newcommand{\Cov}{\mathrm{Cov}}\) \(\newcommand{\Corr}{\mathrm{Corr}}\) Notation: \(\hat{\mu}=\bar{X}\) means the point estimator of...