This article is on the concept of moment in probability theory. On some pages ‘moment’ is being used for idempotent (∞,1)-monad, e.g., see negative moment.

For $\mu$ a probability measure on the real line $\mathbb{R}$, its **$n$th moment** for $n \in \mathbb{N}$ is the expectation value of $x^n$.

- Moments of Gaussian probability distributions have a combinatorial expression by Wick's lemma.

Last revised on September 25, 2016 at 11:20:53. See the history of this page for a list of all contributions to it.