Marcinkiewicz–Zygmund inequality
= Marcinkiewicz–Zygmund inequality
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For independent mean-zero random variables $X_1,\ldots,X_n$ and $p\geq1$, the Marcinkiewicz–Zygmund inequality compares the $L^p$ norm of their sum with the square function:
$$
\mathbb E\left|\sum_iX_i\right|^p
\leq C_p\,\mathbb E\left(\sum_i|X_i|^2\right)^{p/2}.
$$
For $p=2m$, one may take $C_p^{1/p}=O(\sqrt m)$.