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- 1Average quantile regression
- 1B-spline approximations
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- 1Composite quantile regresssion
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Subject: Quantile regression
Departments: Department of Mathematical and Statistical Sciences
Item type: Thesis
Collections: Graduate and Postdoctoral Studies (GPS), Faculty of
Supervisors: Kong, Linglong (Mathematical and Statistical Sciences)
Supervisors: Gombay, Edit (Mathematical and Statistical Sciences)
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Computation in quantile and composite quantile regression models with or without regularization
DownloadFall 2015
Quantile, composite quantile regression with or without regularization have been widely studied and applied in the high-dimensional model estimation and variable selections. Although the theoretical aspect has been well established, the lack of efficient computation methods and publicly available...
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Fall 2014
This thesis develops an efficient quantile-adaptive framework for linear and nonlinear variable screening with high-dimensional heterogeneous data. Inspired by the success of various variable screening methods, especially in the quantile-adaptive framework, we develop a more efficient variable...
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