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Activity Number: 105 - Inference for Networks and Graph-Structured Data
Type: Invited
Date/Time: Monday, August 9, 2021 : 1:30 PM to 3:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract #316916
Title: Subsampling and Jackknife for Networks
Author(s): Purnamrita Sarkar*
Companies: University of Texas, Austin
Keywords: subsampling; jackknife; networks; resampling

Networks show up in a variety of applications, starting from social networks to brain networks in neuroscience, from recommender systems to the internet, from who-eats-whom networks in ecosystems to protein protein interaction networks. An important question that often arises is centered around estimating the underlying distribution of network statistics, like eigenvalues, subgraph densities, etc. In this talk I will discuss some recent work on subsampling and the jackknife for these inferential tasks. Despite the dependence of network data induced by edges between pairs of nodes, under the graphon model, we show that jackknife and subsampling largely behave similarly to their IID counterparts. This is joint work with Robert Lunde and Qiaohui Lin.

Authors who are presenting talks have a * after their name.

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