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Journal of Nonparametric Statistics Volume 25, 2013 - Issue 1
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Original Articles

Estimation of a semiparametric mixture of regressions model

Pierre Vandekerkhove Laboratoire d'Analyse et de Mathématiques Appliquées (LAMA) (UMR 8050), Université Paris-Est, UPEMLV F-77454, Marne-la-Vallée, France; George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, UMI Georgia Tech - CNRS 2958, Atlanta, GA, 30332-0405, USACorrespondence[email protected]
Pages 181-208 | Received 30 Apr 2012, Accepted 05 Oct 2012, Published online: 19 Dec 2012

Citations (12)

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Yuzhu Tian, Manlai Tang & Maozai Tian. (2016) A class of finite mixture of quantile regressions with its applications. Journal of Applied Statistics 43:7, pages 1240-1252.
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Articles from other publishers (11)

Xiaoqiong Fang, Andy W. Chen & Derek S. Young. (2022) Predictors with measurement error in mixtures of polynomial regressions. Computational Statistics 38:1, pages 373-401.
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Bryon Aragam & Ruiyi Yang. (2023) Uniform consistency in nonparametric mixture models. The Annals of Statistics 51:1.
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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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Xiaotian Zhu & David R. Hunter. (2018) Clustering via finite nonparametric ICA mixture models. Advances in Data Analysis and Classification 13:1, pages 65-87.
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Sijia Xiang & Weixin Yao. 2018. New Frontiers of Biostatistics and Bioinformatics. New Frontiers of Biostatistics and Bioinformatics 41 65 .
C. Butucea, R. Ngueyep Tzoumpe & P. Vandekerkhove. (2017) Semiparametric topographical mixture models with symmetric errors. Bernoulli 23:2.
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Hien D. Nguyen & Geoffrey J. McLachlan. (2016) Laplace mixture of linear experts. Computational Statistics & Data Analysis 93, pages 177-191.
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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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L. Bordes, I. Kojadinovic & P. Vandekerkhove. (2013) Semiparametric estimation of a two-component mixture of linear regressions in which one component is known. Electronic Journal of Statistics 7:none.
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