most citedSpatial prediction of apartment rent using regression-based and machine learning-based approaches with a large dataset

1 citations · 1 across the 1 of their papers we have counts for

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2 papers

stat.AP2021★ 1 cited

Spatial prediction of apartment rent using regression-based and machine learning-based approaches with a large dataset

Takahiro Yoshida, Hajime Seya

Employing a large dataset (at most, the order of n = 10^6), this study attempts enhance the literature on the comparison between regression and machine learning (ML)-based rent pri…

stat.ME2019

Scalable GWR: A linear-time algorithm for large-scale geographically weighted regression with polynomial kernels

Daisuke Murakami, Narumasa Tsutsumida, Takahiro Yoshida +2

Although a number of studies have developed fast geographically weighted regression (GWR) algorithms for large samples, none of them has achieved linear-time estimation, which is c…