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Activity Number:
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235
- Spatio-Temporal Theory and Methods
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Type:
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Contributed
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Date/Time:
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Monday, July 31, 2017 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics and the Environment
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Abstract #324951
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Title:
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Discriminant Analysis for High-Dimensional Spatio Temporal Data
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Author(s):
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Rejaul Karim* and Tapabrata Maiti and Chae Young Lim
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Companies:
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Michigan State University and Michigan State University and Seoul National University
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Keywords:
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High Dimensional ;
Spatio Temporal ;
LDA
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Abstract:
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Linear Discriminant Analysis is popular classification. The asymptotic properties of this classifier is investigated under spatio-temporal paradigm. The results are verified on high dimensional dataset like brain image data.
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Authors who are presenting talks have a * after their name.
