Fitting spatial regressions to large datasets using unilateral approximations
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DOI: 10.1080/03610926.2017.1301476
Abstract: ABSTRACT Maximum likelihood estimation of a spatial model typically requires a sizeable computational capacity, even in relatively small samples, and becomes unfeasible in very large datasets. The unilateral approximation approach to spatial model estimation (suggested… read more here.
Keywords: spatial regressions; using unilateral; regressions large; datasets using ... See more keywords