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 inequalities from prior works. The approach builds on the recursion obtained from a hyper-geometric representation of the central moments.
翻译:这项工作确立了贝塔分布的伯恩斯坦型封闭式浓度不平等, 并有最佳差异替代。 对于偏斜分布, 事实证明这些界限比先前工程的西伯利亚亚裔不平等更为准确。 这种方法建立在从中心时段的超几何表示中得到的循环的基础上。