This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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401
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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IMS
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Abstract - #308325 |
Title:
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Order-Preserving Factor Discovery with Misaligned Data
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Author(s):
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Arnau Tibau Puig+ and Ami Wiesel and Alfred O. Hero*
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Companies:
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University of Michigan and University of Michigan and University of Michigan
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Address:
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1301 Beal Avenue , Ann Arbor, MI, 48109-2122,
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Keywords:
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Factor analysis ;
convex optimization ;
sparse dictionary learning
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Abstract:
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We present a method to discover factors that influence the temporal profiles of a large number of variables in a population of subjects undergoing a common treatment but whose responses may not be temporally aligned. Our main hypothesis is that there exists a subset of variables with similar but delayed profiles that obey some unknown but consistent precedence ordering relationship. The proposed method uses a linear factor model with additional degrees of freedom that account for each subject's inherent delays under an order-consistent constraint. We present an efficient algorithm to fit the model that is similar to sparse dictionary learning but incorporates a delay estimation step that aligns the factors to each subject's response. The method will be illustrated on a large gene expression dataset.
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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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