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Journal of the American Statistical Association Volume 112, 2017 - Issue 519
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Theory and Methods

Joint Estimation of Quantile Planes Over Arbitrary Predictor Spaces

Yun YangStatistical Science, Duke University, Durham, NC
&
Surya T. TokdarStatistical Science, Duke University, Durham, NC
Pages 1107-1120 | Received 01 Jul 2015, Published online: 12 Apr 2017

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Surya T. Tokdar, Sheng Jiang & Erika L. Cunningham. (2024) Heavy-Tailed Density Estimation. Journal of the American Statistical Association 119:545, pages 163-175.
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Yinpu Li, Antonio R. Linero & Jared Murray. (2023) Adaptive Conditional Distribution Estimation with Bayesian Decision Tree Ensembles. Journal of the American Statistical Association 118:543, pages 2129-2142.
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T. Rodrigues, J.-L. Dortet-Bernadet & Y. Fan. (2019) Pyramid Quantile Regression. Journal of Computational and Graphical Statistics 28:3, pages 732-746.
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T. Rodrigues & Y. Fan. (2017) Regression Adjustment for Noncrossing Bayesian Quantile Regression. Journal of Computational and Graphical Statistics 26:2, pages 275-284.
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Hyoin An & Steven N. MacEachern. A process of dependent quantile pyramids. Journal of Nonparametric Statistics 0:0, pages 1-25.
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Jorge Castillo-Mateo, Alan E. Gelfand, Jesús Asín, Ana C. Cebrián & Jesús Abaurrea. (2023) Bayesian joint quantile autoregression. TEST 33:1, pages 335-357.
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Soo Min Kim, Yunsu Choi, Sangwook Kang & Korea HIV/AIDS cohort study. (2024) Smoothed quantile residual life regression analysis with application to the Korea HIV/AIDS cohort study. BMC Medical Research Methodology 24:1.
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Vito M.R. Muggeo, Gianluca Sottile & Giovanna Cilluffo. (2023) Joint modelling of non-crossing additive quantile regression via constrained B-spline varying coefficients. Statistical Modelling 23:5-6, pages 540-554.
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Viviana Carcaiso & Leonardo Grilli. (2022) Quantile regression for count data: jittering versus regression coefficients modelling in the analysis of credits earned by university students after remote teaching. Statistical Methods & Applications 32:4, pages 1061-1082.
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Jorge Castillo-Mateo, Jesús Asín, Ana C. Cebrián, Alan E. Gelfand & Jesús Abaurrea. (2023) Spatial quantile autoregression for season within year daily maximum temperature data. The Annals of Applied Statistics 17:3.
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Priyam Das, Christine B. Peterson, Yang Ni, Alexandre Reuben, Jiexin Zhang, Jianjun Zhang, Kim-Anh Do & Veerabhadran Baladandayuthapani. (2023) Bayesian Hierarchical Quantile Regression with Application to Characterizing the Immune Architecture of Lung Cancer. Biometrics 79:3, pages 2474-2488.
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Gianluca Sottile & Paolo Frumento. (2021) Parametric estimation of non-crossing quantile functions. Statistical Modelling 23:2, pages 173-195.
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Steven G. Xu & Brian J. Reich. (2021) Bayesian nonparametric quantile process regression and estimation of marginal quantile effects. Biometrics 79:1, pages 151-164.
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Priya Kedia, Damitri Kundu & Kiranmoy Das. (2022) A Bayesian variable selection approach to longitudinal quantile regression. Statistical Methods & Applications 32:1, pages 149-168.
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Henry R. Scharf, Xinyi Lu, Perry J. Williams & Mevin B. Hooten. (2022) Constructing Flexible, Identifiable and Interpretable Statistical Models for Binary Data. International Statistical Review 90:2, pages 328-345.
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Gianluca Sottile & Paolo Frumento. (2022) Robust estimation and regression with parametric quantile functions. Computational Statistics & Data Analysis 171, pages 107471.
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Teng Wu & Naveen N. Narisetty. (2021) Bayesian Multiple Quantile Regression for Linear Models Using a Score Likelihood. Bayesian Analysis 16:3.
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Indrabati Bhattacharya & Subhashis Ghosal. (2021) Bayesian multivariate quantile regression using Dependent Dirichlet Process prior. Journal of Multivariate Analysis 185, pages 104763.
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Yingying Hu, Huixia Judy Wang, Xuming He & Jianhua Guo. (2020) Bayesian joint-quantile regression. Computational Statistics 36:3, pages 2033-2053.
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Genya Kobayashi, Taeyoung Roh, Jangwon Lee & Taeryon Choi. (2020) Flexible Bayesian quantile curve fitting with shape restrictions under the Dirichlet process mixture of the generalized asymmetric Laplace distribution. Canadian Journal of Statistics 49:3, pages 698-730.
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Paolo Frumento & Nicola Salvati. (2021) Parametric modeling of quantile regression coefficient functions with count data. Statistical Methods & Applications.
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Matteo Bottai & Giovanna Cilluffo. (2020) Nonlinear parametric quantile models. Statistical Methods in Medical Research 29:12, pages 3757-3769.
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Bruno Santos & Thomas Kneib. (2020) Noncrossing structured additive multiple-output Bayesian quantile regression models. Statistics and Computing 30:4, pages 855-869.
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Enrico Fabrizi, Nicola Salvati & Carlo Trivisano. (2020) Robust Bayesian small area estimation based on quantile regression. Computational Statistics & Data Analysis 145, pages 106900.
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Torsten Hothorn. (2019) Transformation boosting machines. Statistics and Computing 30:1, pages 141-152.
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Erika Cunningham, Surya T. Tokdar & James S. Clark. 2020. Flexible Bayesian Regression Modelling. Flexible Bayesian Regression Modelling 27 64 .
J.-L. Dortet-Bernadet, Y. Fan & T. Rodrigues. 2020. Flexible Bayesian Regression Modelling. Flexible Bayesian Regression Modelling 1 25 .
Josephine Merhi Bleik. (2019) Fully Bayesian Estimation of Simultaneous Regression Quantiles under Asymmetric Laplace Distribution Specification. Journal of Probability and Statistics 2019, pages 1-12.
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T. Rodrigues, J.-L. Dortet-Bernadet & Y. Fan. (2019) Simultaneous fitting of Bayesian penalised quantile splines. Computational Statistics & Data Analysis 134, pages 93-109.
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Priyam Das & Subhashis Ghosal. (2018) Bayesian non-parametric simultaneous quantile regression for complete and grid data. Computational Statistics & Data Analysis 127, pages 172-186.
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Alan D. Hutson. (2018) Quantile planes without crossing via nonlinear programming. Computer Methods and Programs in Biomedicine 153, pages 185-190.
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