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Maximal inequalities for centered norms of sums of independent random vectors

Published 4 Jan 2015 in math.PR | (1501.00698v1)

Abstract: Let $X_1,X_2,\ldots,X_n$ be independent random variables and $S_k=\sum_{i=1}k X_i$. We show that for any constants $a_k$, [ \Pr(\max_{1\leq k\leq n}||S_{k}|-a_{k}|>11t)\leq 30 \max_{1\leq k\leq n}\Pr(||S_{k}|-a_{k}|>t). ] We also discuss similar inequalities for sums of Hilbert and Banach space valued random vectors.

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