21 citations · 25 across the 6 of their papers we have counts for
18 papers
On Selection Criteria for the Tuning Parameter in Robust Divergence
Shonosuke Sugasawa, Shouto Yonekura
While robust divergence such as density power divergence and -divergence is helpful for robust statistical inference in the presence of outliers, the tuning parameter that contr…
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…
General Unbiased Estimating Equations for Variance Components in Linear Mixed Models
Tatsuya Kubokawa, Shonosuke Sugasawa, Hiromasa Tamae +1
This paper introduces a general framework for estimating variance components in the linear mixed models via general unbiased estimating equations, which include some well-used esti…
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…
Parametric Bootstrap Confidence Intervals for the Multivariate Fay-Herriot Model
Takumi Saegusa, Shonosuke Sugasawa, Partha Lahiri
The multivariate Fay-Herriot model is quite effective in combining information through correlations among small area survey estimates of related variables or historical survey esti…
Log-Regularly Varying Scale Mixture of Normals for Robust Regression
Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa
Linear regression with the classical normality assumption for the error distribution may lead to an undesirable posterior inference of regression coefficients due to the potential…