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  • 标题:Consistent estimation in general sublinear preferential attachment trees
  • 本地全文:下载
  • 作者:Fengnan Gao ; Aad van der Vaart ; Rui Castro
  • 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.
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