On estimating the Bernoulli regression function using Bernstein polynomials
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Publication:5078877
DOI10.1080/03610926.2019.1709872OpenAlexW3003947049MaRDI QIDQ5078877
Elizbar A. Nadaraya, Petre K. Babilua
Publication date: 25 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2019.1709872
Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Statistics (62-XX)
Cites Work
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- On the square-integrable measure of the divergence of two nuclear estimations of the Bernoulli regression functions
- Nonparametric curve estimation. Methods, theory, and applications
- Bootstrapping a nonparametric polytomous regression model
- On estimating distribution functions using Bernstein polynomials
- About the Nonparametric Estimation of the Bernoulli Regression
- Estimation of the odds-ratio in an observational study using bandwidth-matching
- Weighted kernel estimators in nonparametric binomial regression
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