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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主要作者: | Chew-Seng, Chee |
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格式: | Thesis |
语言: | English |
出版: |
New Zealand: University of Auckland
2012
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在线阅读: | http://hdl.handle.net/123456789/1621 |
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