The Linear Coregionalization Model and the Product–Sum Space–Time Variogram

By S. De Iaco, Donald E. Myers, D. Posa. 2003

71 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Economics and Econometrics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/70c5cbb4942a0f0bda945f647d4f8c7acfa62365

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. Michael L. Stein
2. Martin Schlather
3. Alan E. Gelfand
4. Tilmann Gneiting
5. William Kleiber
6. Alexandra M. Schmidt
7. Marc G. Genton
8. Athanasios Kottas

In Economics and Econometrics

1. Alan E. Gelfand
2. Marc G. Genton
3. Michael L. Stein
4. Martin Schlather
5. Tilmann Gneiting
6. Mikyoung Jun
7. William Kleiber
8. S. Banerjee

In Environmental Engineering

1. Marc G. Genton
2. Mikyoung Jun
3. Alan E. Gelfand
4. Martin Schlather
5. Michael L. Stein
6. Tilmann Gneiting
7. William Kleiber
8. Tatiyana V. Apanasovich

Citations in the corpus

• Statistical methods for regular monitoring data (2005, background): “…that have been suggested in recent works such as Christakos (1992, 2000), Jones and Zhang (1997), Cressie and Huang (1999), Brown et al. (2000), de Iaco et al. (2001, 2002, 2003), Gneiting (2002), Hartfield and Gunst (2003), Ma (2003), Kolovos et al. (2004) and Stein (2005), or at least versions…”
• Space–Time Covariance Functions (2005, background): “Christakos (1992, 2000), Jones and Zhang (1997), Cressie and Huang (1999), Brown, Karesen, Roberts, and Tonellato (2000), de Iaco, Myers, and Posa (2001, 2002, 2003), Gneiting (2002), Ma (2003), and Hartfield and Gunst (2003) described some recent efforts to develop new classes of stationary space–…”
• Matérn Cross-Covariance Functions for Multivariate Random Fields (2010, background): “Similarly, spatiotemporal domains are of topical interest, as in the works of Mardia and Goodall (1993), Haas (2002), De Iaco, Myers, and Posa (2003), De Iaco, Palma, and Posa (2005), and Calder (2007), among others.”
• Nonstationary multivariate process modeling through spatially varying coregionalization (2004, methodology): “Yet another possibility would attempt a multivariate version of local stationarity, extending ideas in Fuentes and Smith (2001). Finally, building upon ideas in Gaspari and Cohn (1999), Majumdar and Gelfand (2004) use convolution of covariance functions to produce valid multivariate cross-covariance”
• Spatial and temporal patterns of the mean annual precipitation at decadal time scale in southern Italy (Calabria region) (2011, background): “Modelling spatial–temporal distributions from of dynamic processes evolving in both space and time is important in different scientific and engineering fields, such as meteorology, environmental sciences, and hydrology ( De Iaco et al. 2003 ).”