Consistent Estimation in General Sublinear Preferential Attachment Trees
Statistics Theory
2017-06-26 v1 Statistics Theory
Abstract
We propose an empirical estimator of the preferential attachment function in the setting of general 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.
Cite
@article{arxiv.1706.07607,
title = {Consistent Estimation in General Sublinear Preferential Attachment Trees},
author = {Fengnan Gao and Aad van der Vaart and Rui Castro and Remco van der Hofstad},
journal= {arXiv preprint arXiv:1706.07607},
year = {2017}
}
Comments
21 pages, 5 figures