Root n Bandwidth Selectors for Kernel Estimation of Density Derivatives

DOI10.2307/2965702zbMath1067.62528OpenAlexW4234093434MaRDI QIDQ4366230

Tiee-Jian Wu

Publication date: 1997

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2965702

Mathematics Subject Classification ID

Density estimation (62G07)

Related Items (7)

Root n bandwidths selectors in multivariate kernel density estimation ⋮ A variable bandwidth selector in multivariate kernel density estimation ⋮ Data-driven density derivative estimation, with applications to nonparametric clustering and bump hunting ⋮ Optimal bandwidths for kernel density estimators of functions of observations ⋮ Root \(n\) estimates of vectors of integrated density partial derivative functionals ⋮ Gains from joint cross validation bandwidth selection for derivatives of conditional multidimensional densities ⋮ Feature significance for multivariate kernel density estimation

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