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...

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Bibliographic Details
Main Author: Gao, Zhikun
Language:EN
Published: The George Washington University 2019
Subjects:
Online Access:http://pqdtopen.proquest.com/#viewpdf?dispub=13813788