A mixture- based framework for nonparametric density estimation
The primary goal of this thesis is to provide a mixture-based framework for nonparametric density estimation. This framework advocates the use of a mixture model with a nonparametric mixing distribution to approximate the distribution of the data. The implementation of a mixture-based nonparametric...
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Main Author: | Chew-Seng, Chee |
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Format: | Thesis |
Language: | English |
Subjects: | |
Online Access: | http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1621/1/QA%20278.8%20.C4%202011%20Abstract.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1621/2/QA%20278.8%20.C4%202011%20FullText.pdf |
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