On an Estimation Scheme for Gauss Markov Random Field Models.

Abstract

In an earlier report a consistent estimation scheme was given for Gaussian Markov random field models. In this report we consider some statistical properties of the resulting estimate. Specifically, we derive an expression for the symptotic mean square error of the estimate for a general model and compare the efficiency of this estimate with the popular coding estimate for a simple first order isotropic model. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1981
Accession Number
ADA102057

Entities

People

  • R. Chellappa

Organizations

  • University of Maryland

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Fields of Study

  • Mathematics

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  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
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