文章基本信息

标题：Maximum Likelihood Infinite Mixture Distribution Estimation Utilizing Finite Gaussian Mixtures ⁎
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作者：Rafael Orellana ; Rodrigo Carvajal ; Juan C. Agüero 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：15
页码：706-711
DOI：10.1016/j.ifacol.2018.09.200
语种：English
出版社：Elsevier
摘要：AbstractIn this paper we develop a Maximum Likelihood estimation algorithm for the estimation of infinite mixture distributions. We assume a known conditional distribution, whilst the weighting distribution is assumed unknown and it is approximated by a finite Gaussian mixture. Our approach allows for the correct estimation of the Gaussian mixture parameters. We illustrate the estimation performance of our proposal with numerical simulations.
关键词：KeywordsGaussian MixtureEstimationMaximum LikelihoodExpectation-MaximizationOptimization