Information Ranking and Power Laws on Trees
Probability
2010-07-30 v3 Performance
Abstract
We study the situations when the solution to a weighted stochastic recursion has a power law tail. To this end, we develop two complementary approaches, the first one extends Goldie's (1991) implicit renewal theorem to cover recursions on trees; and the second one is based on a direct sample path large deviations analysis of weighted recursive random sums. We believe that these methods may be of independent interest in the analysis of more general weighted branching processes as well as in the analysis of algorithms.
Keywords
Cite
@article{arxiv.0905.1738,
title = {Information Ranking and Power Laws on Trees},
author = {Predrag R. Jelenkovic and Mariana Olvera-Cravioto},
journal= {arXiv preprint arXiv:0905.1738},
year = {2010}
}