Empirical Bayes regionalization methods for spatial stochastic processes

Journal Article

Many geophysical properties can be described as spatial stochastic processes, including spatially correlated hydraulic conductivity fields. The case in which observations at each of several sites are described by a general linear model is considered, while the parameters of these models arise from a common regional distribution. Parametric empirical Bayes methods enable the determination of the parameters of the regional distribution via maximum likelihood. However, such methods have not been utilized for spatial stochastic processes. The application of a simple iterative technique for maximum likelihood estimation of the regional parameters is developed, and its use with a common parameterization of the spatial covariance structure is demonstrated. -from Authors

Duke Authors

Cited Authors

  • Butcher, JB; Jr, MAM; Marin, CM

Published Date

  • 1991

Published In

Volume / Issue

  • 27 / 1

Start / End Page

  • 7 - 15

International Standard Serial Number (ISSN)

  • 0043-1397