Automatic Shape-Constrained Non-Parametric Regression
<p> 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. </p><p> We build the estimation based on the quadratic B-spline e...
Main Author: | Gao, Zhikun |
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Language: | EN |
Published: |
The George Washington University
2019
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Subjects: | |
Online Access: | http://pqdtopen.proquest.com/#viewpdf?dispub=13813788 |
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