Selecting variables for discrimination when covariance matrices are unequal

DOI10.1016/0167-7152(94)00048-4zbMath0825.62545OpenAlexW1996962306MaRDI QIDQ1341378

S. A. Paranjpe, Anil P. Gore

Publication date: 9 January 1995

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

Full work available at URL: https://doi.org/10.1016/0167-7152(94)00048-4

Mathematics Subject Classification ID

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

Related Items (6)

Linear discrimination with equicorrelated training vectors ⋮ Distances between normal populations when covariance matrices are unequal ⋮ Supervised classifiers for high-dimensional higher-order data with locally doubly exchangeable covariance structure ⋮ Linear discrimination for three-level multivariate data with a separable additive mean vector and a doubly exchangeable covariance structure ⋮ Robust likelihood functions in Bayesian inference ⋮ Classification of Higher-order Data with Separable Covariance and Structured Multiplicative or Additive Mean Models

Cites Work

• The Non-Central Multivariate Beta Distribution
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