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Filtering by: Committee Member Mahmoud, Hosam Keyword Penalization

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Automatic Shape-constrained Non-parametric Regression

Description:

We propose an automatic shape-constrained non-parametric estimation methodology in least squares and quantile regression, where the regression function and its shape are simultaneously estimated and identified.We build the estimation based on the quadratic B-spline expansion with penalization...

Author:

Gao, Zhikun

Keyword:

Shape identification, Penalization, Non-parametric regression, B-spline, and Quantile regression

GW Unit:

Statistics

Degree:

Ph.D.

Advisor:

Wang, Huixia

Committee Member(s):

Wu, Guangying, Liang, Hua, Mahmoud, Hosam, Lai, Yinglei, and Modarres, Reza

Resource Type:

Thesis or Dissertation