Predicting random fields with increasing dense observations (Q1296596)
From MaRDI portal
 | This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Predicting random fields with increasing dense observations |
scientific article; zbMATH DE number 1319826
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Predicting random fields with increasing dense observations |
scientific article; zbMATH DE number 1319826 |
Statements
Predicting random fields with increasing dense observations (English)
0 references
27 February 2001
0 references
This paper deals with the spectral characteristics of the errors of optimal linear predictors for weakly stationary random fields. The work gives a number of new rates of convergence to optimality for predictors based on an incorrect spectral density when the ratio of the incorrect to the correct spectral density tends to 1 at high frequencies.
0 references
approximations in Hilbert spaces
0 references
time series experiments
0 references
infill asymptotics
0 references
kriging
0 references
sampling theorem
0 references
0 references
0 references
0 references
0 references
