Discrete semiparametric regression models with associated kernel and applications

DOI10.1080/10485252.2011.583986zbMath1230.62048OpenAlexW2067561043MaRDI QIDQ3106435

Tristan Senga Kiessé, M. Rivoire

Publication date: 21 December 2011

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

Full work available at URL: https://doi.org/10.1080/10485252.2011.583986

zbMATH Keywords

asymptotic normalitydiscrete regressionparametric regression modeloptimal bandwidth order

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Generalized linear models (logistic models) (62J12)

Related Items (3)

Bayesian Approach in Nonparametric Count Regression with Binomial Kernel ⋮ Bayesian estimation of bandwidth in semiparametric kernel estimation of unknown probability mass and regression functions of count data ⋮ Binomial kernel and Bayes local bandwidth in discrete function estimation

Uses Software

• TRIANGG

Cites Work

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• Local quasi-likelihood with a parametric guide
• A note on unconditional properties of a parametrically guided Nadaraya-Watson estimator
• Extensions of discrete triangular distributions and boundary bias in kernel estimation for discrete functions
• Semiparametric estimation for count data through weighted distributions
• A Class of Improved Parametrically Guided Nonparametric Regression Estimators
• Discrete triangular distributions and non-parametric estimation for probability mass function

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