From trees to seeds: on the inference of the seed from large trees in the uniform attachment model
From trees to seeds: on the inference of the seed from large trees in the uniform attachment model
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从树木到种子：关于均匀依恋模型中大树种子的推断
DOI：
10.3150/16-bej831
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Miklós Z. Rácz
中科院分区：
文献类型：
--
作者：
Sébastien Bubeck;Ronen Eldan;Elchanan Mossel;Miklós Z. Rácz
我们研究的影响，种子在随机树生长的均匀连接模型，也被称为均匀随机递归树。我们表明，不同的种子导致不同的分布的限制树从总的变化的角度来看。要做到这一点，我们构建的统计措施，在一定的定义明确的意义上，全球“平衡”的属性，这样的树。我们的论文遵循最近的结果在同一问题的偏好连接模型。
We study the influence of the seed in random trees grown according to the uniform attachment model, also known as uniform random recursive trees. We show that different seeds lead to different distributions of limiting trees from a total variation point of view. To do this, we construct statistics that measure, in a certain well-defined sense, global "balancedness" properties of such trees. Our paper follows recent results on the same question for the preferential attachment model.
影响因子：
1.4
作者：
Rudolf Grubel;I. Michailow
通讯作者：
Rudolf Grubel;I. Michailow