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Cokriging and multivariate kriging methods based on data of a functional random field

Author
Giraldo, R.; Delicado, P.; Mateu, J.
Type of activity
Journal article
Journal
Comunicaciones en Estadística
Date of publication
2017-12-23
Volume
10
Number
2
First page
315
Last page
344
Repository
http://hdl.handle.net/2117/116322 Open in new window
URL
http://revistas.usantotomas.edu.co/index.php/estadistica/article/view/3645 Open in new window
Abstract
Kriging and cokriging and their several related versions are techniques widely known and used in spatial data analysis. However, when the spatial data are functions a bridge between functional data analysis and geostatistics has to be built. I give an overview to cokriging analysis and multivariable spatial prediction to the case where the observations at each sampling location consist of samples of random functions. I extend multivariable geostatistical methods to the functional context. Our co...
Citation
Giraldo, R., Delicado, P., Mateu, J. Cokriging and multivariate kriging methods based on data of a functional random field. "Comunicaciones en Estadística", 23 Desembre 2017, vol. 10, núm. 2, p. 315-344.
Keywords
Cross-validation, functional linear model, basis functions, linear model of corregionalization, multivariable cokriging
Group of research
ADBD - Analysis of Complex Data for Business Decisions

Participants