Latent Variable Analysis of Multivariate Spatial Data

By William F. Christensen, Yasuo Amemiya. 2002

74 citations recorded by the source corpus.

Subfields: Ecology, Economics and Econometrics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/32c86abf9832ed4d104cdcbaba810ea27395d079

How researchers see this paper

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

In Ecology

1. A. Zammit‐Mangion
2. Matthew Sainsbury-Dale
3. Noel Cressie

In Economics and Econometrics

1. A. Zammit‐Mangion
2. Matthew Sainsbury-Dale
3. R. Tchernis
4. Noel Cressie

In Environmental Engineering

1. A. Zammit‐Mangion
2. Matthew Sainsbury-Dale
3. Noel Cressie
4. Aritra Sengupta
5. Emily Lei Kang
6. Finn Lindgren
7. Francky Fouedjio

Citations in the corpus

• Bayesian Factor Analysis for Spatially Correlated Data, With Application to Summarizing Area-Level Material Deprivation From Census Data (2004, background): “Similar to the approaches of Christensen and Amemiya (2002, 2003) and Wang and Wall (2001, 2003), we induce spatial correlation at level II.”
• Basis-Function Models in Spatial Statistics (2021, methodology): “There is another type of representation we shall mention briefly, known as spatial factor analysis (Christensen & Amemiya, 2002, 2003).”