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Journal of the American Statistical Association Volume 110, 2015 - Issue 512
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Theory and Methods

Smoothed and Corrected Score Approach to Censored Quantile Regression With Measurement Errors

Yuanshan WuView further author information
,
Yanyuan MaView further author information
&
Guosheng YinView further author information
Pages 1670-1683 | Received 01 Dec 2013, Published online: 15 Jan 2016

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Read on this site (4)

Hui Ding, Riquan Zhang & Hanbing Zhu. (2022) New estimation for heteroscedastic single-index measurement error models. Journal of Nonparametric Statistics 34:1, pages 95-112.
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Huijuan Ma, Limin Peng & Haoda Fu. (2019) Quantile regression modeling of latent trajectory features with longitudinal data. Journal of Applied Statistics 46:16, pages 2884-2904.
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Guangcai Mao, Yi Wei & Yanyan Liu. (2017) SIMEX method for censored quantile regression with measurement error. Communications in Statistics - Simulation and Computation 46:10, pages 7552-7560.
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Jun Zhang, Qian Chen & Nanguang Zhou. (2017) Correlation analysis with additive distortion measurement errors. Journal of Statistical Computation and Simulation 87:4, pages 664-688.
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Articles from other publishers (12)

Xiao Song. (2023) A corrected smoothed score approach for semiparametric accelerated failure time model with error‐contaminated covariates. Statistics in Medicine.
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Zexi Cai & Tony Sit. (2023) On interquantile smoothness of censored quantile regression with induced smoothing. Biometrics.
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Hanbing Zhu, Yuanyuan Zhang, Yehua Li & Heng Lian. (2023) Semiparametric function-on-function quantile regression model with dynamic single-index interactions. Computational Statistics & Data Analysis 182, pages 107727.
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Xuming He, Xiaoou Pan, Kean Ming Tan & Wen-Xin Zhou. (2023) Smoothed quantile regression with large-scale inference. Journal of Econometrics 232:2, pages 367-388.
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Xuming He, Xiaoou Pan, Kean Ming Tan & Wen-Xin Zhou. (2022) Scalable estimation and inference for censored quantile regression process. The Annals of Statistics 50:5.
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Yiwei Fan, Jiaqi Gu & Guosheng Yin. (2022) Sparse concordance‐based ordinal classification. Scandinavian Journal of Statistics.
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Meng Li, Kehui Wang, Arnab Maity & Ana-Maria Staicu. (2022) Inference in functional linear quantile regression. Journal of Multivariate Analysis 190, pages 104985.
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Kean Ming Tan, Lan Wang & Wen-Xin Zhou. (2022) High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization. Journal of the Royal Statistical Society Series B: Statistical Methodology 84:1, pages 205-233.
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Yongxin Bai, Maozai Tian, Man-Lai Tang & Wing-Yan Lee. (2020) Variable selection for ultra-high dimensional quantile regression with missing data and measurement error. Statistical Methods in Medical Research 30:1, pages 129-150.
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Xi Chen, Weidong Liu & Yichen Zhang. (2019) Quantile regression under memory constraint. The Annals of Statistics 47:6.
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Matthias Hansmann & Michael Kohler. (2019) Estimation of conditional quantiles from data with additional measurement errors. Journal of Statistical Planning and Inference 200, pages 176-195.
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Sergio Firpo, Antonio F. Galvao & Suyong Song. (2017) Measurement errors in quantile regression models. Journal of Econometrics 198:1, pages 146-164.
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