文章基本信息

标题：Consistent estimation in general sublinear preferential attachment trees
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作者：Fengnan Gao ; Aad van der Vaart ; Rui Castro 等
期刊名称：Electronic Journal of Statistics
印刷版ISSN：1935-7524
出版年度：2017
卷号：11
期号：2
页码：3979-3999
DOI：10.1214/17-EJS1356
语种：English
出版社：Institute of Mathematical Statistics
摘要：We propose an empirical estimator of the preferential attachment function $f$ in the setting of general sublinear preferential attachment trees. Using a supercritical continuous-time branching process framework, we prove the almost sure consistency of the proposed estimator. We perform simulations to study the empirical properties of our estimators.
关键词：Preferential attachment model;consistency;branch ing process.