On Some Nonparametric Density Estimators for a Statistical Classification Problem

DOI10.1137/1128071zbMATH Open0599.62074OpenAlexW2042531025MaRDI QIDQ3734893

Ts. G. Khakhubia

Publication date: 1984

Published in: Theory of Probability & Its Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/1128071

zbMATH Keywords

density estimatorsasymptotically optimal Bayesian discrimination procedureconvergence rate of Bayesian risksfinite classification problemParzen's kernel estimatorsvariable band width

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05) Bayesian problems; characterization of Bayes procedures (62C10) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (5)

On the use of compactly supported density estimates in problems of discrimination ⋮ On nonparametric classification for weakly dependent functional processes ⋮ Empirically Estimable Classification Bounds Based on a Nonparametric Divergence Measure ⋮ Title not available (Why is that?) ⋮ Exact Density of W Classification Statistic Based on Unmatched Training Sample from Correlated Populations

This page was built for publication: On Some Nonparametric Density Estimators for a Statistical Classification Problem

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q3734893)