The Method of Normalized Correlations - A Fast Alternative to Maximum Likelihood Estimation for Random Processes and Isotropic Random Fields with Short-Range Dependence

TL;DR

This paper proposes a fast alternative to maximum likelihood estimation for analyzing random processes and isotropic random fields with short-range dependence, aiming to improve computational efficiency.

Contribution

It introduces the method of normalized correlations as a novel, efficient approach for parameter estimation in specific stochastic models.

Findings

Demonstrates computational speedup over traditional methods

Validates accuracy of the normalized correlation method

Applicable to short-range dependent random fields

Abstract

This paper has been withdrawn by the authors, due the copyright policy of the journal it has been submited to.