Strictly monotone and smooth nonparametric regression for two or more variables

DOI10.1002/cjs.5550340401zbMath1115.62039OpenAlexW2095740411MaRDI QIDQ5295952

Regine Scheder, Dette, Holger

Publication date: 31 July 2007

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

Full work available at URL: http://hdl.handle.net/2003/21514

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items (10)

Strictly monotone and smooth nonparametric regression for two or more variables ⋮ Approximation, characterization, and continuity of multivariate monotonic regression functions ⋮ Gaussian process modeling with inequality constraints ⋮ Nonparametric identification and estimation of the extended Roy model ⋮ Anisotropic Radial Layout for Visualizing Centrality and Structure in Graphs ⋮ Stochastically ordered multiple regression ⋮ Monotone Nonparametric Regression and Confidence Intervals ⋮ Additive monotone regression in high and lower dimensions ⋮ Isotonic regression for multiple independent variables ⋮ Estimation and inference for partial linear regression surfaces using monotone warped-plane splines

Uses Software

• UCI-ml

Cites Work

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• A simple nonparametric estimator of a strictly monotone regression function
• Variance estimation for high-dimensional regression models
• The Min-Max algorithm and isotonic regression
• Imposing curvature restrictions on flexible functional forms
• Strong uniform convergence rates in robust nonparametric time series analysis and prediction: Kernel regression estimation from dependent observations
• Monotone nonparametric regression
• An algorithm for isotonic regression for two or more independent variables
• Estimating a smooth monotone regression function
• Multivariate locally weighted least squares regression
• Measure preserving transformations and rearrangements
• Maximum Likelihood Estimates of Monotone Parameters
• A note on estimating a smooth monotone regression by combining kernel and density estimates
• Estimating Strictly Increasing Regression Functions
• Strictly monotone and smooth nonparametric regression for two or more variables
• Orbits of L 1 -Functions Under Doubly Stochastic Transformation
• An algorithm for monotone regression with one or more independent variables

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