2 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
Predicting Infection of COVID-19 in Japan: State Space Modeling Approach
Genya Kobayashi, Shonosuke Sugasawa, Hiromasa Tamae +1
The number of confirmed cases of the coronavirus disease (COVID-19) in Japan has been increasing day by day and has had a serious impact on the society especially after the declara…
Small Area Predictors with Dual Shrinkage of Means and Variances
Hiromasa Tamae, Tatsuya Kubokawa
The paper concerns small-area estimation in the Fay-Herriot type area-level model with random dispersions, which models the case that the sampling errors change from area to area.…
Bayesian Estimators for Small Area Models Shrinking Both Means and Variances
Shonosuke Sugasawa, Hiromasa Tamae, Tatsuya Kubokawa
For small area estimation of area-level data, the Fay-Herriot model is extensively used as a model based method. In the Fay-Herriot model, it is conventionally assumed that the sam…