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20162025
most citedEigenvector spatial filtering for large data sets: fixed and random effects approaches

63 citations · 79 across the 8 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

stat.ME2018★ 1 cited

Low rank spatial econometric models

Daisuke Murakami, Hajime Seya, Daniel A. Griffith

This article presents a re-structuring of spatial econometric models in a linear mixed model framework. To that end, it proposes low rank spatial econometric models that are robust…

stat.ME2018★ 1 cited

Spatially varying coefficient modeling for large datasets: Eliminating N from spatial regressions

Daisuke Murakami, Daniel A. Griffith

While spatially varying coefficient (SVC) modeling is popular in applied science, its computational burden is substantial. This is especially true if a multiscale property of SVC i…