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Maximum smoothed likelihood estimation for a class of semiparametric Pareto mixture densities

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Publication:1782087
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DOI10.4310/SII.2018.v11.n1.a3OpenAlexW2746320318MaRDI QIDQ1782087

Shaoli Wang, Tian Jin, Mian Huang, Hansheng Wang

Publication date: 18 September 2018

Published in: Statistics and Its Interface (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.4310/sii.2018.v11.n1.a3


zbMATH Keywords

EM algorithmbandwidth selectionsemiparametric mixture modelsmaximum smoothed likelihood estimationPareto mixture densities


Mathematics Subject Classification ID

Statistics (62-XX)


Related Items (3)

Penalized estimation in finite mixture of ultra-high dimensional regression models ⋮ An overview of semiparametric extensions of finite mixture models ⋮ Estimation for a class of semiparametric Pareto mixture densities




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