Bayesian factor analysis for spatially correlated data: application to cancer incidence data in Scotland

Bayesian Factor Analysis for Spatially Correlated Data, With Application to Summarizing Area-Level Material Deprivation From Census Data

This article describes a Bayesian hierarchical model for factor analysis of spatially correlated multivariate data. The Ž rst level speciŽ es, for each area on a map, the distribution of a vector of manifest variables conditional on an underlying latent factor; at the second level, the areaspeciŽ c latent factors have a joint distribution that incorporates spatial correlation. The framework all...

Bayesian Correlated Factor Analysis for Spatial Data

A hierarchical Bayesian factor model for multivariate spatially correlated data is proposed. The idea behind the proposed method is to search factor scores incorporating a dependence due to a geographical structure. The great exibility of the Bayesian approach bears directly on the problem of parameter identi cation in factor analysis and furthermore on the inclusion of our prior opinion about ...

Bayesian Melding of Deterministic Models and Kriging for Analysis of Spatially Dependent Data

The link between geographic information systems and decision making approach own the invention and development of spatial data melding method. These methods combine different data sets, to achieve better results. In this paper, the Bayesian melding method for combining the measurements and outputs of deterministic models and kriging are considered. Then the ozone data in Tehran city are analyze...

Bayesian hierarchical spatially correlated functional data analysis with application to colon carcinogenesis.

In this article, we present new methods to analyze data from an experiment using rodent models to investigate the role of p27, an important cell-cycle mediator, in early colon carcinogenesis. The responses modeled here are essentially functions nested within a two-stage hierarchy. Standard functional data analysis literature focuses on a single stage of hierarchy and conditionally independent f...

Bayesian Prediction in Spatial Data Analysis