Estimation for the bivariate quantile varying coefficient model with application to diffusion tensor imaging data analysis

Matthew Pietrosanu, Haoxu Shu, Bei Jiang, Linglong Kong, Giseon Heo, Qianchuan He, John H. Gilmore, Hongtu Zhu

Type: Article

Publication Date: 2021-07-28

Citations: 6

DOI: https://doi.org/10.1093/biostatistics/kxab031

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Biostatistics - View
PubMed Central - View
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Works Cited by This (34)

Action	Title	Year	Authors
+	None	1998	Peter J. Rousseeuw Anja Struyf
+ PDF Chat	Regularized quantile regression under heterogeneous sparsity with application to quantitative genetic traits	2015	Qianchuan He Linglong Kong Yanhua Wang Sijian Wang Timothy A. Chan Eric C. Holland
+	Functional data analysis of generalized regression quantiles	2013	Mengmeng Guo Lan Zhou Jianhua Z. Huang Wolfgang Karl Härdle
+ PDF Chat	An interior point algorithm for nonlinear quantile regression	1996	Roger Koenker Beum J. Park
+ PDF Chat	Propagation-Separation Approach for Local Likelihood Estimation	2005	Jörg Polzehl Vladimir Spokoiny
+ PDF Chat	Adaptive Weights Smoothing with Applications to Image Restoration	2000	Jöorg Polzehl Vladimir Spokoiny
+	Multiplier and gradient methods	1969	Magnus R. Hestenes
+	Asymptotic Confidence Regions for Kernel Smoothing of a Varying-Coefficient Model with Longitudinal Data	1998	Colin O. Wu Chin‐Tsang Chiang Donald R. Hoover
+	Estimating the Mean and Covariance Structure Nonparametrically When the Data are Curves	1991	John A. Rice B. W. Silverman
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li