Abstract Details
Activity Number:
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154
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Type:
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Invited
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Date/Time:
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Monday, August 10, 2015 : 10:30 AM to 12:20 PM
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Sponsor:
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SSC
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Abstract #314449
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Title:
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Information Greedy 'Patchwork' Bootstrap on Random Networks
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Author(s):
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Yulia R. Gel* and Vyacheslav Lyubchich and Lilia L. Ramirez Ramirez
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Companies:
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The University of Texas at Dallas and University of Maryland Center for Environmental Science and Instituto Tecnológico Autónomo de México
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Keywords:
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bootstrap ;
resampling ;
nonparametrics ;
random networks ;
random graphs ;
sampling
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Abstract:
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In this talk we propose a new nonparametric ``patchwork'' resampling approach to network inference based on the adaptation of ``blocking'' argument, developed for bootstrapping of time series and re-tiling for spatial data, to random networks. We discuss how the new ``patchwork'' procedure can be used to quantify estimation uncertainty for network statistics that are functions of degree distribution. We develop a new computationally efficient and data-driven cross-validation algorithm for selecting an optimal ``patch'' size. We illustrate utility of the new ``patchwork'' bootstrap procedure for inference on simulated networks, flight and Wikipedia networks.
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Authors who are presenting talks have a * after their name.
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