Parametric transformed Fay-Herriot model for small area estimation. - Shonosuke Sugasawa; Tatsuya Kubokawa (J. Multivar. Anal., 2015)

On conditional prediction errors in mixed models with application to small area estimation. - Shonosuke Sugasawa; Tatsuya Kubokawa (J. Multivar. Anal., 2016)

Transforming response values in small area prediction. - Shonosuke Sugasawa; Tatsuya Kubokawa (Comput. Stat. Data Anal., 2017)

Bayesian estimators in uncertain nested error regression models. - Shonosuke Sugasawa; Tatsuya Kubokawa (J. Multivar. Anal., 2017)

Observed best selective prediction in small area estimation. - Shonosuke Sugasawa; Yuki Kawakubo; Gauri Sankar Datta (J. Multivar. Anal., 2019)

Latent mixture modeling for clustered data. - Shonosuke Sugasawa; Genya Kobayashi; Yuki Kawakubo (Stat. Comput., 2019)

Estimation and inference for area-wise spatial income distributions from grouped data. - Shonosuke Sugasawa; Genya Kobayashi; Yuki Kawakubo (Comput. Stat. Data Anal., 2020)

Robust Bayesian Regression with Synthetic Posterior Distributions. - Shintaro Hashimoto; Shonosuke Sugasawa (Entropy, 2020)

Robust Bayesian Changepoint Analysis in the Presence of Outliers. - Shonosuke Sugasawa; Shintaro Hashimoto (KES-IDT, 2021)

Improved confidence regions in meta-analysis of diagnostic test accuracy. - Tsubasa Ito; Shonosuke Sugasawa (Comput. Stat. Data Anal., 2021)

On Selection Criteria for the Tuning Parameter in Robust Divergence. - Shonosuke Sugasawa; Shouto Yonekura (Entropy, 2021)

Log-regularly varying scale mixture of normals for robust regression. - Yasuyuki Hamura; Kaoru Irie; Shonosuke Sugasawa (Comput. Stat. Data Anal., 2022)

Robust fitting of mixture models using weighted complete estimating equations. - Shonosuke Sugasawa; Genya Kobayashi (Comput. Stat. Data Anal., 2022)

On Data Augmentation for Models Involving Reciprocal Gamma Functions. - Yasuyuki Hamura; Kaoru Irie; Shonosuke Sugasawa (J. Comput. Graph. Stat., 2023)

Adaptation of the tuning parameter in general Bayesian inference with robust divergence. - Shouto Yonekura; Shonosuke Sugasawa (Stat. Comput., 2023)

Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions. - Yasuyuki Hamura; Kaoru Irie; Shonosuke Sugasawa (J. Comput. Graph. Stat., 2024)

Adaptively Robust and Sparse K-means Clustering. - Hao Li; Shonosuke Sugasawa; Shota Katayama (Trans. Mach. Learn. Res., 2024)

Fast and locally adaptive Bayesian quantile smoothing using calibrated variational approximations. - Takahiro Onizuka; Shintaro Hashimoto; Shonosuke Sugasawa (Stat. Comput., 2024)