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
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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