Bayesian Factor Analysis for Spatially Correlated Data, With Application to Summarizing Area-Level Material Deprivation From Census Data
By Joseph W. Hogan, R. Tchernis. 2004
151 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/b2092e4ffdfeb772aa0fbe232cdc0ce46811308d
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
- Esther Salazar
- Dani Gamerman
- Hans Julius Skaug
- Hedibert Freitas Lopes
- Kasper Kristensen
- J. Thorson
- Noel Cressie
- Aritra Sengupta
In Statistics and Probability
- Esther Salazar
- Dani Gamerman
- Kevin E. See
- Hans Julius Skaug
- Hedibert Freitas Lopes
- A. Shelton
- Kasper Kristensen
- M. Scheuerell
Citations in the corpus
- Spatial factor analysis: a new tool for estimating joint species distributions and correlations in species range (2015, background): “Spatial factor analysis has previously been discussed in biomedical, environmental monitoring and statistical contexts (Wang & Wall 2003; Hogan & Tchernis 2004), but has not previously been used for modelling species distributions.”
- Spatial dynamic factor analysis (2008, background): “Hogan and Tchernis (2004) fitted a one-factor spatial model and entertained several forms of spatial dependence through the single common factor.”