 Taylor expansions for the moments of functions of random variables

The Taylor expansion provides a way to approximate functions around a point, and it can be particularly useful in statistics when dealing with moments of functions of random variables. Let's consider a random variable \( X \) and a function \( g(X) \). The \( n \)-th moment of \( g(X) \) can be expressed in terms of the moments of \( X \) using Taylor expansion.