Bandwidth selection for kernel density estimation with doubly truncated data

DOI10.1016/j.csda.2012.11.017zbMath1348.62126OpenAlexW2053818264MaRDI QIDQ333704

Ingrid Van Keilegom, Carla Moreira

Publication date: 31 October 2016

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://cdn.uclouvain.be/public/Exports%20reddot/stat/documents/DP2012_06.pdf

zbMATH Keywords

bootstrapplug-incross-validationbandwidth selectionkernel density estimationdouble truncationnormal reference rule

Mathematics Subject Classification ID

Density estimation (62G07)

Related Items

Weighted rank estimation for nonparametric transformation models with doubly truncated data ⋮ Regression analysis of doubly truncated data based on pseudo-observations ⋮ Subsampling-extrapolation bandwidth selection in bivariate kernel density estimation ⋮ Median regression model with doubly truncated data ⋮ Pseudo maximum likelihood estimation for the Cox model with doubly truncated data ⋮ Statistical inference based on the nonparametric maximum likelihood estimator under double-truncation ⋮ Maximum likelihood estimation for a special exponential family under random double-truncation ⋮ Asymptotic inference for maximum likelihood estimators under the special exponential family with double-truncation ⋮ Likelihood-based analysis of doubly-truncated data under the location-scale and AFT model ⋮ Unnamed Item ⋮ Pseudo MLE for semiparametric transformation model with doubly truncated data

Uses Software

• KernSmooth
• DTDA

Cites Work

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