Kernel classification with missing data and the choice of smoothing parameters

DOI10.1007/s00362-017-0883-yzbMath1432.62179OpenAlexW2585242274MaRDI QIDQ2010808

Levon Demirdjian, Majid Mojirsheibani

Publication date: 28 November 2019

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-017-0883-y

zbMATH Keywords

classificationconsistencykernelshatter coefficientmissing covariate

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Missing data (62D10)

Related Items (2)

On statistical classification with incomplete covariates via filtering ⋮ Robust estimation of single index models with responses missing at random

Uses Software

• KernSmooth
• pyuvdata

Cites Work

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