2 citations · 5 across the 3 of their papers we have counts for
4 papers
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…
A comparison of apartment rent price prediction using a large dataset: Kriging versus DNN
Hajime Seya, Daiki Shiroi
The hedonic approach based on a regression model has been widely adopted for the prediction of real estate property price and rent. In particular, a spatial regression technique ca…
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…
Propensity score matching for multiple treatment levels: A CODA-based contribution
Hajime Seya, Takahiro Yoshida
This study proposes a simple technique for propensity score matching for multiple treatment levels under the strong unconfoundedness assumption with the help of the Aitchison dista…