63 citations · 178 across the 24 of their papers we have counts for
24 papers
A linearization for stable and fast geographically weighted Poisson regression
Daisuke Murakami, Narumasa Tsutsumida, Takahiro Yoshida +3
Although geographically weighted Poisson regression (GWPR) is a popular regression for spatially indexed count data, its development is relatively limited compared to that found fo…
Spatial regression-based transfer learning for prediction problems
Daisuke Murakami, Mami Kajita, Seiji Kajita
Although spatial prediction is widely used for urban and environmental monitoring, its accuracy is often unsatisfactory if only a small number of samples are available in the study…
Impact of COVID-19 type events on the economy and climate under the stochastic DICE model
Pavel V. Shevchenko, Daisuke Murakami, Tomoko Matsui +1
The classical DICE model is a widely accepted integrated assessment model for the joint modeling of economic and climate systems, where all model state variables evolve over time d…
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)…
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…
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…