Nonparametric regression when estimating the probability of success: a comparison of four extant estimators

DOI10.1080/15598608.2012.695639zbMath1425.62066OpenAlexW2011440173MaRDI QIDQ2320777

Rand R. Wilcox

Publication date: 27 August 2019

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/15598608.2012.695639

zbMATH Keywords

kernel estimatorssmootherslogistic regressionMahalanobis distance

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05) Generalized linear models (logistic models) (62J12)

Cites Work

• Nonparametric curve estimation. Methods, theory, and applications
• A distribution-free theory of nonparametric regression
• Local linear regression smoothers and their minimax efficiencies
• Transformations of the explanatory variables in the logistic regression model for binary data
• Robust Locally Weighted Regression and Smoothing Scatterplots
• Kernel Estimators for Univariate Binary Regression
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