Central Binomial Tail Bounds
Matus Telgarsky

TL;DR
This paper introduces new bounds for the central binomial tail, offering alternative proofs and connections to classical Chernoff and Slud bounds, enhancing understanding of tail probability estimates.
Contribution
It presents an alternative form for the binomial tail that leads to new bounds and links to existing Chernoff and Slud bounds, providing both novel bounds and proofs.
Findings
New bounds for the central binomial tail
Connections to Chernoff and Slud bounds
Alternative proofs for classical bounds
Abstract
An alternate form for the binomial tail is presented, which leads to a variety of bounds for the central tail. A few can be weakened into the corresponding Chernoff and Slud bounds, which not only demonstrates the quality of the presented bounds, but also provides alternate proofs for the classical bounds.
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Graph theory and applications · Random Matrices and Applications
