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
|
Abstract:
|
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.