On cross-validation for discrete kernel estimates in discrimination

DOI10.1080/03610928908830147zbMath0696.62178OpenAlexW2082745075MaRDI QIDQ3473167

Gerhard Tutz

Publication date: 1989

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

Full work available at URL: https://doi.org/10.1080/03610928908830147

zbMATH Keywords

cross-validationdiscriminationConsistencychoice of smoothing parametersdiscrete kernels

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (3)

Unnamed Item ⋮ Nonparametric estimation of discrete hazard functions ⋮ Discrete kernels, loss functions and parametric models in discrete discrimination: A comparative study

Cites Work

• Unnamed Item
• Smoothing for Discrete Kernels in Discrimination
• An alternative choice of smoothing for kernel-based density estimates in discrete discriminant analysis
• On nonparametric discrimination using density differences
• On the Effects of Dimension in Discriminant Analysis for Unequal Covariance Populations
• A Comparative Study of Kernel-Based Density Estimates for Categorical Data
• On nonparametric multivariate binary discrimination
• Comparison of Discrimination Techniques Applied to a Complex Data Set of Head Injured Patients
• Multivariate binary discrimination by the kernel method
• On the Effects of Dimension in Discriminant Analysis
• Kernel methods for the estimation of discrete distributions
• Sample-Based Classification Procedures Derived from Density Estimators

This page was built for publication: On cross-validation for discrete kernel estimates in discrimination