A sharp uniform bound for the distribution of a sum of Bernoulli random variables

Mathematics – Probability

Scientific paper

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Scientific paper

We establish a uniform bound for the distribution of a sum $S^n=X_1+...+X_n$
of independent non-homogeneous Bernoulli random variables with $P(X_i=1)=p_i$.
Specifically, we prove that $\sigma^n P(S^n=i)\leq M$ where $\sigma^n$ denotes
the standard deviation of $S^n$ and the constant $M~0.4688$ is the maximum of
$u\mapsto\sqrt{2u} e^{-2u}\sum_{k=0}^\infty({u^k\over k!})^2$.

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