Abstract
In this chapter, a new approximate ML theory based solution for the SAR model which is called Gauss-Lanczos (GL) approximation is developed. The key idea of the proposed algorithm is to find only the some of the eigenvalues of a large matrix, instead of finding all the eigenvalues, by reducing the size of large matrix dramatically using GL algorithm [3]. Because of this property of GL algorithm, we can save huge computation costs, especially when the matrix size is quite large.
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Kazar, B.M., Celik, M. (2012). A New Approximation: Gauss-Lanczos Approximated SAR Model Solution. In: Spatial AutoRegression (SAR) Model. SpringerBriefs in Computer Science. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-1842-9_6
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DOI: https://doi.org/10.1007/978-1-4614-1842-9_6
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Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4614-1841-2
Online ISBN: 978-1-4614-1842-9
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