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Activity Number: 259 - SPEED: Environmetrics: Spatio-Temporal and Other Models
Type: Contributed
Date/Time: Monday, July 30, 2018 : 3:05 PM to 3:50 PM
Sponsor: Section on Statistics and the Environment
Abstract #332653
Title: Discriminant Analysis for High-Dimensional Spatio-Temporal Data
Author(s): Rejaul Karim* and Taps Maiti and Chae Young Lim
Companies: Michigan State University and Michigan State University and Seoul National University
Keywords: spatio-temporal; precision matrix; Fischer discriminant direction; Linear Discriminant Analysis; high dimensional

Linear Discriminant Analysis is popular classification.Main focus is sparse representation of Fischer discriminant direction .The asymptotic properties of this classifier is investigated under spatio-temporal paradigm. The results are verified on high dimensional data sets.

Authors who are presenting talks have a * after their name.

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