It has been observed that the sample mean of certain probability distributions in Billera-Holmes-Vogtmann (BHV) phylogenetic spaces is confined to a lower-dimensional subspace for large enough sample size. This non-standard behavior has been called stickiness and poses difficulties in statistical applications when comparing samples of sticky distributions. We extend previous results on stickiness to show the equivalence of this sampling behavior to topological conditions in the special case of BHV spaces. Furthermore, we propose to alleviate statistical comparision of sticky distributions by including the directional derivatives of the Fr\'echet function: the degree of stickiness.
翻译:据观察,在Billera-Holmes-Vogtmann (BHV) 系统中,某些概率分布的样本均值在足够大的样本大小下被限制在低维子空间中。这种非标准行为被称为黏性,在统计应用中比较黏性分布样本时增加了难度。我们扩展了先前的黏性结果,展示了在BHV系统中这种抽样行为与拓扑条件的等价性。此外,我们建议通过包括Fr\'echet函数的方向导数(即黏性程度)来减轻黏性分布的统计比较。