Bandwidth selection procedures tor kernel density estimates

DOI10.1080/03610928208828291zbMath0511.62043OpenAlexW2043010274MaRDI QIDQ4749000

Chris P. Tsokos, Steven J. Bean

Publication date: 1982

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

Full work available at URL: https://doi.org/10.1080/03610928208828291

zbMATH Keywords

algorithmskernel density estimatespenalized maximum likelihoodnumerical comparisonefficiency comparisongoodness-of-fit criteriabandwidth selection proceduresstabilized jackknifed maximum likelihood

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Monte Carlo methods (65C05) Probabilistic methods, stochastic differential equations (65C99)

Related Items (3)

Random approximations to some measures of accuracy in nonparametric curve estimation ⋮ A comparative study of some kernel-based nonparametric density estimators ⋮ An assessment of finite sample performance of adaptive methods in density estimation

Cites Work

• Consistency properties of nearest neighbor density function estimators
• On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions

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