Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/22317
Title: | Discriminant Analysis for Longitudinal Data |
Authors: | Matira, Kevin |
Advisor: | McNicholas, Paul |
Department: | Mathematics and Statistics |
Keywords: | mixture models;supervised learning;longitudinal data;classification;statistical learning |
Publication Date: | 2017 |
Abstract: | Various approaches for discriminant analysis of longitudinal data are investigated, with some focus on model-based approaches. The latter are typically based on the modi ed Cholesky decomposition of the covariance matrix in a Gaussian mixture; however, non-Gaussian mixtures are also considered. Where applicable, the Bayesian information criterion is used to select the number of components per class. The various approaches are demonstrated on real and simulated data. |
URI: | http://hdl.handle.net/11375/22317 |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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matira_kevin_2017August_MSc.pdf | 597.75 kB | Adobe PDF | View/Open |
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