activity
20172023
most citedThe GWR route map: a guide to the informed application of Geographically Weighted Regression

36 citations · 44 across the 9 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

stat.AP2021★ 1 cited

Transformation-based generalized spatial regression using the spmoran package: Case study examples

Daisuke Murakami

This study presents application examples of generalized spatial regression modeling for count data and continuous non-Gaussian data using the spmoran package (version 0.2.2 onward)…

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.ME2021

Analysis of COVID-19 evolution based on testing closeness of sequential data

Tomoko Matsui, Nourddine Azzaoui, Daisuke Murakami

A practical algorithm has been developed for closeness analysis of sequential data that combines closeness testing with algorithms based on the Markov chain tester. It was applied…

stat.ME2021★ 1 cited

Adaptively Robust Geographically Weighted Regression

Shonosuke Sugasawa, Daisuke Murakami

We develop a new robust geographically weighted regression method in the presence of outliers. We embed the standard geographically weighted regression in robust objective function…

stat.ME2021

Compositionally-warped additive mixed modeling for a wide variety of non-Gaussian spatial data

Daisuke Murakami, Mami Kajita, Seiji Kajita +1

As with the advancement of geographical information systems, non-Gaussian spatial data sets are getting larger and more diverse. This study develops a general framework for fast an…