This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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145
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Type:
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Invited
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Date/Time:
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Monday, August 2, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Learning and Data Mining
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| Abstract - #305970 |
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Title:
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Grouping and Selection Over a Network Specified by a Directed Graph
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Author(s):
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Xiaotong Shen*+ and Hsin-Cheng Huang
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Companies:
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University of Minnesota and Academia Sinica
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Address:
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School of Statistics, Minneapolis, MN, 55455, USA
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Keywords:
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Undirect graph ;
Identifying grouping structure ;
feature selection ;
DC programming ;
Nonconvex regularization
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Abstract:
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When predictors are nodes of a network specifying dependency structures among predictors, the network information needs to be incorporated in regression and classification. This is the case in identifying a subnetwork of disease genes from a network of predictors. In this talk, we will discuss efficient ways of grouping pursuit and feature selection subject to network constraints, especially in high-dimensional situations. Some numerical examples will be given, in addition to some theory.
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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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