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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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stat.ME2019

A memory-free spatial additive mixed modeling for big spatial data

Daisuke Murakami, Daniel A. Griffith

This study develops a spatial additive mixed modeling (AMM) approach estimating spatial and non-spatial effects from large samples, such as millions of observations. Although fast…