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Communications in Statistics - Theory and Methods Volume 47, 2018 - Issue 3
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Original Articles

Semiparametric mixture of additive regression models

Yi ZhangSchool of Insurance, Shanghai Lixin University of Accounting and Finance, Shanghai, China
&
Qingle ZhengSchool of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, ChinaCorrespondence[email protected]
Pages 681-697 | Received 31 Jul 2016, Accepted 20 Mar 2017, Published online: 13 Sep 2017

Citations (4)

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Read on this site (1)

Yi Zhang & Weiquan Pan. (2022) Estimation and inference for mixture of partially linear additive models. Communications in Statistics - Theory and Methods 51:8, pages 2519-2533.
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Articles from other publishers (3)

Marco Berrettini, Giuliano Galimberti & Saverio Ranciati. (2022) Semiparametric finite mixture of regression models with Bayesian P-splines. Advances in Data Analysis and Classification 17:3, pages 745-775.
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Sphiwe B. Skhosana, Salomon M. Millard & Frans H. J. Kanfer. (2023) A Novel EM-Type Algorithm to Estimate Semi-Parametric Mixtures of Partially Linear Models. Mathematics 11:5, pages 1087.
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Sphiwe B. Skhosana, Frans H. J. Kanfer & Salomon M. Millard. (2022) Fitting Non-Parametric Mixture of Regressions: Introducing an EM-Type Algorithm to Address the Label-Switching Problem. Symmetry 14:5, pages 1058.
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