TY - JOUR
T1 - New Validity Conditions for the Multivariate Matérn Coregionalization Model, with an Application to Exploration Geochemistry
AU - Emery, Xavier
AU - Porcu, Emilio
AU - White, Philip
N1 - Funding Information:
The first author acknowledges the funding of the National Agency for Research and Development of Chile, through grants ANID/FONDECYT/REGULAR/1210050 and ANID PIA AFB180004.
Funding Information:
This work was supported by the National Agency for Research and Development of Chile [grants ANID/FONDECYT/REGULAR/No. 1210050 and ANID PIA AFB180004]. The authors are grateful to two anonymous reviewers for insightful comments.
Publisher Copyright:
© 2022, International Association for Mathematical Geosciences.
PY - 2022/8
Y1 - 2022/8
N2 - This paper addresses the problem of finding parametric constraints that ensure the validity of the multivariate Matérn covariance for modeling the spatial correlation structure of coregionalized variables defined in an Euclidean space. To date, much attention has been given to the bivariate setting, while the multivariate setting has been explored to only a limited extent. The existing conditions often imply severe restrictions on the upper bounds for the collocated correlation coefficients, which makes the multivariate Matérn model appealing for the case of weak spatial cross-dependence only. We provide a collection of sufficient validity conditions for the multivariate Matérn covariance that allows for more flexible parameterizations than those currently available, and prove that one can attain considerably higher upper bounds for the collocated correlation coefficients in comparison with our competitors. We conclude with an illustration on a trivariate geochemical data set and show that our enlarged parametric space yields better fitting performances.
AB - This paper addresses the problem of finding parametric constraints that ensure the validity of the multivariate Matérn covariance for modeling the spatial correlation structure of coregionalized variables defined in an Euclidean space. To date, much attention has been given to the bivariate setting, while the multivariate setting has been explored to only a limited extent. The existing conditions often imply severe restrictions on the upper bounds for the collocated correlation coefficients, which makes the multivariate Matérn model appealing for the case of weak spatial cross-dependence only. We provide a collection of sufficient validity conditions for the multivariate Matérn covariance that allows for more flexible parameterizations than those currently available, and prove that one can attain considerably higher upper bounds for the collocated correlation coefficients in comparison with our competitors. We conclude with an illustration on a trivariate geochemical data set and show that our enlarged parametric space yields better fitting performances.
KW - Conditionally negative semidefinite matrices
KW - Coregionalization modeling
KW - Multivariate covariance function
KW - Spatial cross-correlation
KW - Vector random fields
UR - https://www.scopus.com/pages/publications/85129639524
U2 - 10.1007/s11004-022-10000-6
DO - 10.1007/s11004-022-10000-6
M3 - Article
AN - SCOPUS:85129639524
SN - 1874-8961
VL - 54
SP - 1043
EP - 1068
JO - Mathematical Geosciences
JF - Mathematical Geosciences
IS - 6
ER -