Abstract Details
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Activity Number:
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223
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 4, 2014 : 2:00 PM to 3:50 PM
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Sponsor:
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IMS
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Abstract #311779
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View Presentation
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Title:
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Two-Sample Hypothesis Testing for Random Dot Product Graphs via Adjacency Spectral Embedding
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Author(s):
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Minh Tang*+
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Companies:
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Keywords:
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random graphs ;
spectral ;
two-sample testing
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Abstract:
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Two-sample hypothesis testing for specific population parameters is a cornerstone of classical statistical inference. Furthermore, there exists a burgeoning literature on techniques for inference on random graphs. We focus on a test for the hypothesis that two finite-dimensional random dot product graphs on the same vertex set, with known vertex correspondence, have the same generating latent positions. We use the adjacency spectral embedding for each graph to construct a valid test that is consistent across a broad class of alternatives
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Authors who are presenting talks have a * after their name.
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