This work establishes Bernstein-type closed-form concentration inequalities for the beta distribution, with optimal variance proxy. For skewed distributions, these bounds are demonstrated to be more accurate then sub-gaussian and sub-gamma inequalities from prior works. The approach builds on the recursion obtained from a hyper-geometric representation of the central moments.
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