Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/20406
Title: | Longitudinal Clustering via Mixtures of Multivariate Power Exponential Distributions |
Authors: | Patel, Nidhi |
Advisor: | McNicholas, Paul |
Department: | Statistics |
Keywords: | longitudinal data;model-based clustering;mixture models;power exponential distribution |
Publication Date: | 2016 |
Abstract: | A mixture model approach for clustering longitudinal data is introduced. The approach, which is based on mixtures of multivariate power exponential distributions, allows for varying tail-weight and peakedness in data. In the longitudinal setting, this corresponds to more or less concentration around the most central time course in a component. The models utilize a modified Cholesky decomposition of the component scale matrices and the associated maximum likelihood estimators are derived via a generalized expectation-maximization algorithm. |
URI: | http://hdl.handle.net/11375/20406 |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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Patel_Nidhi_P_2016August_MSc.pdf | 706.51 kB | Adobe PDF | View/Open |
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