A Bernstein type inequality for sums of selections from three dimensional arrays

preprint2019arXivOpen access

Abstract

We consider the three dimensional array A={ai,j,k}1≤i,j,k≤n\mathcal{A} = \{a_{i,j,k}\}_{1\le i,j,k \le n}, with ai,j,k∈[0,1]a_{i,j,k} \in [0,1], and the two random statistics T1:=∑i=1n∑j=1nai,j,σ(i)T_{1}:= \sum_{i=1}^n \sum_{j=1}^n a_{i,j,σ(i)} and T2:=∑i=1nai,σ(i),π(i)T_{2}:= \sum_{i=1}^{n} a_{i,σ(i),π(i)}, where σσ and ππ are chosen independently from the set of permutations of {1,2,…,n}.\{1,2,\ldots,n \}. These can be viewed as natural three dimensional generalizations of the statistic T3=∑i=1nai,σ(i)T_{3}=\sum_{i=1}^{n} a_{i,σ(i)}, considered by Hoeffding \cite{Hoe51}. Here we give Bernstein type concentration inequalities for T1T_{1} and T2T_{2} by extending the argument for concentration of T3T_{3} by Chatterjee \cite{Cha05}.

Explore this paper’s authors, topics and related work.

Building this map preview

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Reviews 0

Write a reviewWrite

No reviews yet.

Discussion 0

Add a commentWrite

No comments yet.