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Activity Number:
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522
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #305010 |
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Title:
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Computational Methods for Time-Dependent Relational Data
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Author(s):
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Andrew C. Thomas*+
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Companies:
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Harvard University
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Address:
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, , MA, ,
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Keywords:
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networks ; relational data ; dynamic programming
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Abstract:
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Relational data methods are gaining in popularity for dealing with dependencies between individuals. We examine the use of generalized linear models to track and model changes in relational ties over time, including dynamic programming methods to speed up computation.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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