I want to lower bound the pdf of a Hypergeometric distribution $H(N,K,K)$, which has equal number of success states and number of draws with the pdf of a normal distribution. With the central limit theorem we know that the Hypergeometric function converges to a Gaussian, but can it also be bounded in the non-asymptotic case? Is this possible?
2026-05-14 08:50:29.1778748629
Bound Hypergeometric distribution by Gauss distribution
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