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Communications in Statistics - Theory and Methods Volume 51, 2022 - Issue 4
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Articles

Adjusted empirical likelihood inferences for varying coefficient partially non linear models with endogenous covariates

Xinrong Tanga Department of Assets Management, Chongqing Technology and Business University, Chongqing, ChinaCorrespondence[email protected]
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Peixin Zhaob College of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing, China;c Chongqing Key Laboratory of Social Economy and Applied Statistics, Chongqing, ChinaView further author information
,
Yiping Yangb College of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing, ChinaView further author information
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Weiming Yangb College of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing, ChinaView further author information
Pages 953-973 | Received 07 Jan 2019, Accepted 21 Mar 2020, Published online: 01 Apr 2020

Citations (4)

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Read on this site (1)

Yanting Xiao & Wanying Dong. Robust statistical inference for varying-coefficient partially linear instrumental variable model based on modal regression. Communications in Statistics - Simulation and Computation 0:0, pages 1-17.
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Articles from other publishers (3)

Weiwei Zhang, Jingxuan Luo & Shengyun Ma. (2023) Estimation in Semi-Varying Coefficient Heteroscedastic Instrumental Variable Models with Missing Responses. Mathematics 11:23, pages 4853.
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Yanting Xiao & Yifan Shi. (2023) Robust estimation for varying-coefficient partially nonlinear model with nonignorable missing response. AIMS Mathematics 8:12, pages 29849-29871.
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Yanting Xiao & Lulu Liang. (2021) Robust estimation and variable selection for varying-coefficient partially nonlinear models based on modal regression. Journal of the Korean Statistical Society 51:3, pages 692-715.
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