Open AccessOn the classification error rates in terms of semivariograms for Gaussian universal kriging models
Author(s) -
Kęstutis Dučinskas,
Lina Dreižienė
Publication year - 2021
Publication title -
lithuanian journal of statistics
Language(s) - English
Resource type - Journals
ISSN - 2029-7262
DOI - 10.15388/ljs.2021.26442
Subject(s) - kriging , mathematics , statistics , estimator , gaussian , variogram , gaussian process , geostatistics , bayes' theorem , regression , spatial variability , bayesian probability , physics , quantum mechanics
Bayes multiclass classification of spatial Gaussian data following the universal kriging model is considered. The closed-form expressions for the maximum likelihood (ML) estimator of regression parameters and the actual error rate (AER) in terms of semivariograms are derived.