Some Fast Methods for Fitting Some One-parameter Spatial Models
R. J. Martin
DOI : 10.3844/jmssp.2005.326.336
Journal of Mathematics and Statistics
Volume 1, Issue 4
It is common in geographic modelling to use a one-parameter spatial model to specify the inverse covariance matrix in terms of I-βW, for some known matrix W. Exact Gaussian maximum likelihood estimation of β requires evaluation of the determinant of the covariance matrix. For large data sets, this evaluation of the determinant can be slow and good approximations can be useful. Seventy regional configurations are used to consider some approximations to the determinant of I-βW that are fast to evaluate, and their usefulness is compared.
© 2005 R. J. Martin. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.