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Technometrics Volume 59, 2017 - Issue 3
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Original Articles

Modeling Regression Quantile Process Using Monotone B-Splines

Yuan YuanIBM Research, Singapore
,
Nan ChenDepartment of Industrial and Systems Engineering, National University of Singapore, Singapore
&
Shiyu ZhouDepartment of Industrial and Systems Engineering, University of Wisconsin--Madison, Madison, Wisconsin
Pages 338-350 | Received 01 Oct 2015, Accepted 01 Jan 2016, Published online: 13 Apr 2017

Citations (7)

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Read on this site (2)

Salman Jahani, Raed Kontar, Shiyu Zhou & Dharmaraj Veeramani. (2020) Remaining useful life prediction based on degradation signals using monotonic B-splines with infinite support. IISE Transactions 52:5, pages 537-554.
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Tomohiro Ando & Jushan Bai. (2020) Quantile Co-Movement in Financial Markets: A Panel Quantile Model With Unobserved Heterogeneity. Journal of the American Statistical Association 115:529, pages 266-279.
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Articles from other publishers (5)

Seyoung Park, Hyunjin Kim & Eun Ryung Lee. (2023) Regional quantile regression for multiple responses. Computational Statistics & Data Analysis 188, pages 107826.
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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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Tomohiro Ando, Kunpeng Li & Lina Lu. (2023) A spatial panel quantile model with unobserved heterogeneity. Journal of Econometrics 232:1, pages 191-213.
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Daichi Kitahara, Ke Leng, Yuji Tezuka & Akira Hirabayashi. (2021) Simultaneous Spline Quantile Regression Under Shape Constraints. Simultaneous Spline Quantile Regression Under Shape Constraints.
Tomohiro Ando & Jushan Bai. (2017) Quantile Co-Movement in Financial Markets; a Panel Quantile Model with Unobserved Heterogeneity. SSRN Electronic Journal.
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