Abstract Details
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Activity Number:
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395
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Type:
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Invited
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Date/Time:
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Tuesday, August 6, 2013 : 2:00 PM to 3:50 PM
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Sponsor:
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SSC
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| Abstract - #307112 |
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Title:
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Topics in Nonparametric Inference for Network Models
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Author(s):
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Peter Bickel*+
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Companies:
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University of California - Berkeley
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Keywords:
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networks ;
nonparametric ;
asymptotic ;
inference ;
bootstrap
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Abstract:
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In B. and Chen PNAS(2009)we introduced a "nonparametric"model for unlabeled graphs with L=average degrees ranging from >>log(n) to O(n) and studied it asymptotically in relation to "block models". We will discuss various methods of fitting block models ,their extension to adjusted degree block models and to models with vertex or edge covariates.We will also briefly discuss "motifs" or "count statistics" and bootstrap methods for computing them and approximating their distribution. (Joint work (on various parts) with A.Chen,,D.Choi,,E Levina ,Arash Amini ,Purnamrita Sarkar and S.Bhattacharyya)
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Authors who are presenting talks have a * after their name.
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