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Activity Number:
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245
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Type:
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Invited
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Date/Time:
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Tuesday, August 5, 2008 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #300043 |
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Title:
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Statistical Inference of Network Structure
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Author(s):
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Wing H. Wong*+
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Companies:
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Stanford University
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Address:
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Department of Statistics, Stanford, CA, 94305,
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Keywords:
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network ; Bayesian inference
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Abstract:
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Recently, genomics researchers have found Bayesian networks to be a useful approach to the modeling of data from the analysis of gene regulatory relations and signaling events. In this talk, we will review the statistical and computational challenges in this type of analysis. We will present preliminary results on how to handle missing data and how to search the space of network topology efficiently. We will also discuss the use of specialized hardware to handle some parts of the 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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