Discrete triangular associated kernel and bandwidth choices in semiparametric estimation for count data

DOI10.1080/00949655.2013.768995zbMath1453.62445OpenAlexW2078531785MaRDI QIDQ5219395

Tristan Senga Kiessé, Henri E. Cuny

Publication date: 11 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2013.768995

zbMATH Keywords

cross-validationmean integrated squared erroroptimal bandwidthdiscrete associated kernelbootstrap methodswood formation

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items (3)

Asymptotic properties of the normalised discrete associated-kernel estimator for probability mass function ⋮ Bayesian estimation of bandwidth in semiparametric kernel estimation of unknown probability mass and regression functions of count data ⋮ Asymptotic properties of Dirichlet kernel density estimators

Uses Software

• TRIANG
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Cites Work

• Unnamed Item
• On semiparametric regression for count explanatory variables
• Discrete associated kernels method and extensions
• A comparison of cross-validation techniques in density estimation
• Nonparametric density estimation with a parametric start
• Semiparametric estimation for count data through weighted distributions
• Connections of the Poisson weight function to overdispersion and underdispersion
• Binomial kernel and Bayes local bandwidth in discrete function estimation
• A class of smooth estimators for discrete distributions
• Multivariate binary discrimination by the kernel method
• Adaptive smoothing in associated kernel discrete functions estimation using Bayesian approach
• Discrete triangular distributions and non-parametric estimation for probability mass function

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