Flexible semi-parametric quantile regression models
This work involves interquantile identification and variable selection in two semi-parametric quantile regression models, an additive model and an additive coefficient model. In the first part, we investigate the commonality of non-parametric component functions among different quantile levels in ad...
Main Author: | Fan, Zengyan |
---|---|
Other Authors: | Lian Heng |
Format: | Thesis |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/72695 |
Similar Items
-
Quantile regression for additive coefficient models in high dimensions
by: Fan, Zengyan, et al.
Published: (2020) -
Bayesian quantile regression for semiparametric models
by: Hu, Yuao
Published: (2013) -
Efficient algorithms for Bayesian semi-parametric regression models
by: Zhao Kaifeng
Published: (2015) -
Quantile regression /
by: Koenker, Roger, 1947-
Published: (2005) -
Model-based quantile regression for count panel data
by: Zhang, Chuchu
Published: (2019)