| Title |
Comparison of nonlinear spatial correlation models by the influence of the data augmentation to the classification risk / |
| Translation of Title |
Netiesinių erdvinės koreliacijos modelių palyginimas, pagal duomenų didėjimo klasifikacijos rizikai įtaką. |
| Authors |
Šaltytė, J ; Dučinskas, K |
| DOI |
10.15388/NA.2002.7.1.15200 |
| Full Text |
|
| Is Part of |
Nonlinear analysis : modelling and control.. Vilnius. 2002, vol. 7, no. 1, p. 31-42.. ISSN 1392-5113. eISSN 2335-8963 |
| Keywords [eng] |
spatial correlation ; nugget effect ; sill ; Bayesian classification rule ; data augmentation |
| Abstract [eng] |
The Bayesian classification rule used for the classification of the observations of the (second-order) stationary Gaussian random fields with different means and common factorised covariance matrices is investigated. The influence of the observed data augmentation to the Bayesian risk is examined for three different nonlinear widely applicable spatial correlation models. The explicit expression of the Bayesian risk for the classification of augmented data is derived. Numerical comparison of these models by the variability of Bayesian risk in case of the first-order neighbourhood scheme is performed. |
| Published |
Vilnius |
| Type |
Journal article |
| Language |
English |
| Publication date |
2002 |
| CC license |
|
