Application of spatial auto-beta models in statistical classification

Application of spatial auto-beta models in statistical classification

In this paper, spatial data specified by auto-beta models is analysed by considering a supervised classification problem of classifying feature observation into one of two populations. Two classification rules based on conditional Bayes discriminant function (BDF) and linear discriminant function (L...

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Bibliographic Details
Main Authors:	Eglė Zikarienė, Kęstutis Dučinskas
Format:	Article
Language:	English
Published:	Vilnius University Press 2021-12-01
Series:	Lietuvos Matematikos Rinkinys
Subjects:	Bayes discriminant function linear discriminant function actual error rate supervised classification
Online Access:	https://www.zurnalai.vu.lt/LMR/article/view/25219

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