21 citations · 90 across the 97 of their papers we have counts for
8 papers · 1 filter
Robust Bayesian Regression with Synthetic Posterior
Shintaro Hashimoto, Shonosuke Sugasawa
Although linear regression models are fundamental tools in statistical science, the estimation results can be sensitive to outliers. While several robust methods have been proposed…
Bayesian Semiparametric Modeling of Response Mechanism for Nonignorable Missing Data
Shonosuke Sugasawa, Kosuke Morikawa, Keisuke Takahata
Statistical inference with nonresponse is quite challenging, especially when the response mechanism is nonignorable. In this case, the validity of statistical inference depends on…
Bayesian approach to Lorenz curve using time series grouped data
Genya Kobayashi, Yuta Yamauchi, Kazuhiko Kakamu +2
This study is concerned with estimating the inequality measures associated with the underlying hypothetical income distribution from the times series grouped data on the Lorenz cur…
On Global-local Shrinkage Priors for Count Data
Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa
Global-local shrinkage prior has been recognized as useful class of priors which can strongly shrink small signals towards prior means while keeping large signals unshrunk. Althoug…
Improved Confidence Regions in Meta-analysis of Diagnostic Test Accuracy
Tsubasa Ito, Shonosuke Sugasawa
Meta-analyses of diagnostic test accuracy (DTA) studies have been gathering attention in research in clinical epidemiology and health technology development, and bivariate random-e…
An Approximate Bayesian Approach to Model-assisted Survey Estimation with Many Auxiliary Variables
Shonosuke Sugasawa, Jae Kwang Kim
Model-assisted estimation with complex survey data is an important practical problem in survey sampling. When there are many auxiliary variables, selecting significant variables as…
Efficient screening of predictive biomarkers for individual treatment selection
Shonosuke Sugasawa, Hisashi Noma
The development of molecular diagnostic tools to achieve individualized medicine requires identifying predictive biomarkers associated with subgroups of individuals who might recei…
Estimation and inference for area-wise spatial income distributions from grouped data
Shonosuke Sugasawa, Genya Kobayashi, Yuki Kawakubo
Estimating income distributions plays an important role in the measurement of inequality and poverty over space. The existing literature on income distributions predominantly focus…