About the Nonparametric Estimation of the Bernoulli Regression

DOI10.1080/03610926.2011.626550zbMath1280.62049OpenAlexW1987412282MaRDI QIDQ2873897

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Publication date: 28 January 2014

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2011.626550

zbMATH Keywords

consistencyuniform convergenceWiener processkernel estimation

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Central limit and other weak theorems (60F05)

Related Items (4)

On estimating the Bernoulli regression function using Bernstein polynomials ⋮ On the estimation of the Bernoulli regression function using Bernstein polynomials for group observations ⋮ On a New Estimation Method of the Bernoulli Regression Function ⋮ Unnamed Item

Cites Work

• Nonparametric curve estimation. Methods, theory, and applications
• Consistent nonparametric regression: Some generalizations in the fixed design case
• Weighted nonparametric regression
• Weighted kernel estimators in nonparametric binomial regression
• On Estimation of a Probability Density Function and Mode

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