A Valid Matérn Class of Cross-Covariance Functions for Multivariate Random Fields With Any Number of Components

By Tatiyana V. Apanasovich, Marc G. Genton, Ying Sun. 2012

143 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/5d7992e6c0e5f28e3901f9af71e7ed3252badeaf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Emilio Porcu
2. Moreno Bevilacqua
3. Marc G. Genton
4. Daryl J. Daley
5. Jonathan Rougier
6. Fan Yang
7. Xiucai Ding

In Environmental Engineering

1. Emilio Porcu
2. Moreno Bevilacqua
3. Daryl J. Daley
4. Marc G. Genton
5. Jonathan Rougier
6. Mikyoung Jun
7. Tilmann Gneiting
8. Tatiyana V. Apanasovich

Citations in the corpus

• Spatio-Temporal Covariance and Cross-Covariance Functions of the Great Circle Distance on a Sphere (2016, methodology): “In particular, we propose multivariate Matérn mappings (Gneiting, Kleiber, and Schlather 2010; Apanasovich, Genton, and Sun 2012) that have been proposed earlier in the framework of Euclidean distance only.”
• Classes of compactly supported covariance functions for multivariate random fields (2015, background): “An example follows, much as in Apanasovich et al. (2012), so that we set bij 1⁄4 minðbii; bjjÞ.”