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  5. Tauberian Theory for Multivariate Regularly Varying Distributions with Application to Preferential Attachment Networks

Tauberian Theory for Multivariate Regularly Varying Distributions with Application to Preferential Attachment Networks

File(s)
RegVarPrefAttWithTaubJune0616.pdf (208.91 KB)
Main article
Permanent Link(s)
https://hdl.handle.net/1813/36712
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ORIE Technical Reports
Author
Resnick, Sidney
Samorodnitsky, Gennady
Abstract

Abel-Tauberian theorems relate power law behavior of distributions and their transforms. We formulate and prove a multivariate version for non-standard regularly varying measures on R_+^p and then apply it to prove that the joint distribution of in- and out-degree in a directed edge preferential attachement model has jointly regularly varying tails.

Sponsorship
This research was supported by the ARO
MURI grant W911NF-12-10385 to Cornell University
Date Issued
2014-06-25
Keywords
multivariate heavy tails
•
preferential attachment model
•
scale free networks
•
Tauberian theory
Type
technical report

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