Least-squares estimation of two-ordered monotone regression curves

DOI10.1080/10485250903548729zbMath1203.62059arXiv0904.2052OpenAlexW2080009799WikidataQ61810945 ScholiaQ61810945MaRDI QIDQ3068118

Fadoua Balabdaoui, Filippo Santambrogio, Kaspar Rufibach

Publication date: 13 January 2011

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0904.2052

zbMATH Keywords

least squaressubgradient algorithmmonotone regressionpool-adjacent-violaters algorithmshape constraint estimation

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics in engineering and industry; control charts (62P30)

Related Items (3)

An active set algorithm to estimate parameters in generalized linear models with ordered predictors ⋮ A dual active set algorithm for optimal sparse convex regression ⋮ Properties of subgradient projection iteration when applying to linear imaging system

Uses Software

• R
• OrdMonReg

Cites Work

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• Estimating Strictly Increasing Regression Functions
• Robust Stopping Criteria for Dykstra's Algorithm
• Estimating a Convex Function in Nonparametric Regression
• Maximum Likelihood Estimation of the Distributions of Two Stochastically Ordered Random Variables
• On Estimating Monotone Parameters

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