Fitting the Linear Model of Coregionalization by Generalized Least Squares

By B. Pelletier, P. Dutilleul, G. Larocque, J. Fyles. 2004

44 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Economics and Econometrics, Environmental Engineering

How researchers see this paper

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

In Artificial Intelligence

1. Martin Schlather
2. Tilmann Gneiting
3. William Kleiber
4. Marc G. Genton

In Economics and Econometrics

1. Martin Schlather
2. Tilmann Gneiting
3. William Kleiber
4. Marc G. Genton
5. Michael L. Stein
6. Pierre Pinson
7. A. C. Davison
8. Mikyoung Jun

In Environmental Engineering

1. Martin Schlather
2. William Kleiber
3. Tilmann Gneiting
4. Marc G. Genton
5. Mikyoung Jun
6. Emilio Porcu
7. Moreno Bevilacqua
8. Michael L. Stein

Citations in the corpus

• Matérn Cross-Covariance Functions for Multivariate Random Fields (2010, methodology): “Alternative approaches to estimation are of interest, such as likelihood approximations for large spatial datasets (Stein, Chi, and Welty 2004; Fuentes 2007), and some of the recent developments for the linear model of coregionalization (LMC), namely GLS and the EM algorithm (Pelletier et al. 2004; ”