## Objective Bayesian Analysis of Spatially Correlated Data (2000)

Venue: | JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION |

Citations: | 52 - 7 self |

### BibTeX

@ARTICLE{Berger00objectivebayesian,

author = {James O. Berger and Victor De Oliveira and Bruno Sanso},

title = {Objective Bayesian Analysis of Spatially Correlated Data},

journal = {JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION},

year = {2000},

volume = {96},

pages = {1361--1374}

}

### Years of Citing Articles

### OpenURL

### Abstract

Spatially varying phenomena are often modeled using Gaussian random fields, specified by their mean function and covariance function. The spatial correlation structure of these models is commonly specified to be of a certain form (e.g., spherical, power exponential, rational quadratic, or Matérn) with a small number of unknown parameters. We consider objective Bayesian analysis of such spatial models, when the mean function of the Gaussian random field is specified as in a linear model. It is thus necessary to determine an objective (or default) prior distribution for the unknown mean and covariance parameters of the random field. We first