Marginal density estimation from incomplete bivariate data

DOI10.1016/S0167-7152(99)00140-6zbMath0973.62032OpenAlexW2019481774MaRDI QIDQ1975356

Martin L. Hazelton

Publication date: 27 July 2000

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-7152(99)00140-6

zbMATH Keywords

kernel smoothingbandwidth selectionmissing dataconditional density function

Mathematics Subject Classification ID

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

Related Items (6)

On nonparametric classification with missing covariates ⋮ Nonparametric curve estimation with missing data: a general empirical process approach ⋮ On density and regression estimation with incomplete data ⋮ Fuzzy density estimation ⋮ Kernel classification with missing data and the choice of smoothing parameters ⋮ Nonparametric estimation of multivariate density with direct and auxiliary data and application

Uses Software

• KernSmooth

Cites Work

• Progress in data-based bandwidth selection for kernel density estimation
• Residual variance and residual pattern in nonlinear regression
• Inference and missing data
• Nonparametric Estimation of Mean Functionals with Data Missing at Random
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