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Journal of Nonparametric Statistics Volume 26, 2014 - Issue 4
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Original Articles

Multivariate partially linear single-index models: Bayesian analysis

Wai-Yin PoonDepartment of Statistics, The Chinese University of Hong Kong, Shatin, Hong Kong, People's Republic of China
&
Hai-Bin WangSchool of Mathematical Sciences, Xiamen University, Xiamen361005, People's Republic of ChinaCorrespondence[email protected]
Pages 755-768 | Received 29 Sep 2013, Accepted 11 Sep 2014, Published online: 07 Oct 2014

Citations (4)

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Read on this site (1)

Hai-Bin Wang. (2018) A Bayesian multivariate partially linear single-index probit model for ordinal responses. Journal of Statistical Computation and Simulation 88:8, pages 1616-1636.
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Articles from other publishers (3)

Hyung G. Park, Danni Wu, Eva Petkova, Thaddeus Tarpey & R. Todd Ogden. (2023) Bayesian Index Models for Heterogeneous Treatment Effects on a Binary Outcome. Statistics in Biosciences.
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Zhiyong Chen & Jianbao Chen. (2021) Bayesian Analysis of Partially Linear Additive Spatial Autoregressive Models with Free-Knot Splines. Symmetry 13:9, pages 1635.
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Zhi-Yong Chen & Hai-Bin Wang. (2017) Latent single-index models for ordinal data. Statistics and Computing 28:3, pages 699-711.
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