Consistent second-order discrete kernel smoothing using dispersed Conway-Maxwell-Poisson kernels

DOI10.1007/s00180-021-01144-wzbMath1505.62191arXiv2010.03302OpenAlexW3195661452MaRDI QIDQ2135878

Thomas Fung, Lucas Sippel, Alan Huang

Publication date: 10 May 2022

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2010.03302

zbMATH Keywords

cross-validated bandwidthdiscrete associated kernel smoothinghistogram smoothingmean-parametrized Conway-Maxwell-Poisson distributionminimum Kullback-Leibler divergence

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Density estimation (62G07)

Related Items (2)

Bayesian local bandwidths in a flexible semiparametric kernel estimation for multivariate count data with diagnostics ⋮ Asymptotic properties of the normalised discrete associated-kernel estimator for probability mass function

Uses Software

• Ake
• mpcmp

Cites Work

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• Kernel density estimation via diffusion
• Discrete associated kernels method and extensions
• Extensions of discrete triangular distributions and boundary bias in kernel estimation for discrete functions
• Remarks on Some Nonparametric Estimates of a Density Function
• On finite sample properties of nonparametric discrete asymmetric kernel estimators
• Mean-parametrized Conway–Maxwell–Poisson regression models for dispersed counts
• Discrete triangular distributions and non-parametric estimation for probability mass function
• On Estimation of a Probability Density Function and Mode

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