36 citations · 44 across the 8 of their papers we have counts for
10 papers · 1 filter
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…
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…
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…
Spatially Clustered Regression
Shonosuke Sugasawa, Daisuke Murakami
Spatial regression or geographically weighted regression models have been widely adopted to capture the effects of auxiliary information on a response variable of interest over a r…
The GWR route map: a guide to the informed application of Geographically Weighted Regression
Alexis Comber, Chris Brunsdon, Martin Charlton +8
Geographically Weighted Regression (GWR) is increasingly used in spatial analyses of social and environmental data. It allows spatial heterogeneities in processes and relationships…
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…