Nonparametric estimation of the regression function having a change point in generalized linear models

DOI10.1016/j.spl.2012.01.009zbMath1242.62029OpenAlexW2005888629MaRDI QIDQ434733

Jib Huh

Publication date: 16 July 2012

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2012.01.009

zbMATH Keywords

rate of convergencekernel functionbeetle mortality datadiscontinuity pointlocal polynomial fit

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Generalized linear models (logistic models) (62J12)

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Estimation of a change point in the variance function based on the χ²-distribution

Cites Work

• Detection of a change point based on local-likelihood
• Jump-preserving regression and smoothing using local linear fitting: a compromise
• Change-points in nonparametric regression analysis
• Kernel-type estimators of jump points and values of a regression function
• Change point estimation using nonparametric regression
• Likelihood-based local polynomial fitting for single-index models
• Estimation of regression functions with a discontinuity in a derivative with local polynomial fits
• Change point estimation by local linear smoothing
• Generalized Partially Linear Single-Index Models
• A jump-preserving curve fitting procedure based on local piecewise-linear kernel estimation
• Detection of a change point with local polynomial fits for the random design case
• Image Processing and Jump Regression Analysis
• Local Polynomial Kernel Regression for Generalized Linear Models and Quasi-Likelihood Functions
• Estimation of the number of jumps of the jump regression functions
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