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Statistics
A Journal of Theoretical and Applied Statistics
Volume 47, 2013 - Issue 2
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Original Articles

Semiparametric location mixtures with distinct components

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Pages 348-362 | Received 25 Jan 2011, Accepted 05 Dec 2011, Published online: 31 Jan 2012

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Pierre Vandekerkhove. (2013) Estimation of a semiparametric mixture of regressions model. Journal of Nonparametric Statistics 25:1, pages 181-208.
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Articles from other publishers (8)

Jiali Zheng & Xiyang Wang. (2020) Estimation for a Class of Semiparametric Pareto Mixture Densities. Sankhya A 84:2, pages 609-627.
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Heiko Werner, Hajo Holzmann & Pierre Vandekerkhove. (2020) Adaptive estimation in the supremum norm for semiparametric mixtures of regressions. Electronic Journal of Statistics 14:1.
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Sijia Xiang, Weixin Yao & Guangren Yang. (2019) An Overview of Semiparametric Extensions of Finite Mixture Models. Statistical Science 34:3.
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Hao Hu, Yichao Wu & Weixin Yao. (2016) Maximum likelihood estimation of the mixture of log-concave densities. Computational Statistics & Data Analysis 101, pages 137-147.
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Stijn Jaspers, Geert Verbeke, Dankmar B?hning & Marc Aerts. (2015) Application of the Vertex Exchange Method to estimate a semi-parametric mixture model for the MIC density of Escherichia coli isolates tested for susceptibility against ampicillin . Biostatistics, pages kxv030.
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Yanyuan Ma & Weixin Yao. (2015) Flexible estimation of a semiparametric two-component mixture model with one parametric component. Electronic Journal of Statistics 9:1.
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Jörn Dannemann, Hajo Holzmann & Anna Leister. (2014) Semiparametric hidden Markov models: identifiability and estimation. WIREs Computational Statistics 6:6, pages 418-425.
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Daniel Hohmann & Hajo Holzmann. (2013) Two-component mixtures with independent coordinates as conditional mixtures: Nonparametric identification and estimation. Electronic Journal of Statistics 7:none.
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