Shonosuke Sugasawa

According to our database, Shonosuke Sugasawa authored at least 20 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2025

Ensemble Prediction via Covariate-dependent Stacking.

Tomoya Wakayama, Shonosuke Sugasawa

Stat. Comput., December, 2025

Causal Inference under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects.

Kohsuke Kubota, Shonosuke Sugasawa

CoRR, September, 2025

2024

Fast and locally adaptive Bayesian quantile smoothing using calibrated variational approximations.

Takahiro Onizuka, Shintaro Hashimoto, Shonosuke Sugasawa

Stat. Comput., February, 2024

Adaptively Robust and Sparse <i>K</i>-means Clustering.

Hao Li, Shonosuke Sugasawa, Shota Katayama

Trans. Mach. Learn. Res., 2024

Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions.

Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa

J. Comput. Graph. Stat., 2024

2023

Adaptation of the tuning parameter in general Bayesian inference with robust divergence.

Shouto Yonekura, Shonosuke Sugasawa

Stat. Comput., April, 2023

On Data Augmentation for Models Involving Reciprocal Gamma Functions.

Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa

J. Comput. Graph. Stat., 2023

2022

Robust fitting of mixture models using weighted complete estimating equations.

Shonosuke Sugasawa, Genya Kobayashi

Comput. Stat. Data Anal., 2022

Log-regularly varying scale mixture of normals for robust regression.

Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa

Comput. Stat. Data Anal., 2022

2021

On Selection Criteria for the Tuning Parameter in Robust Divergence.

Shonosuke Sugasawa, Shouto Yonekura

Entropy, 2021

Improved confidence regions in meta-analysis of diagnostic test accuracy.

Tsubasa Ito, Shonosuke Sugasawa

Comput. Stat. Data Anal., 2021

Robust Bayesian Changepoint Analysis in the Presence of Outliers.

Shonosuke Sugasawa, Shintaro Hashimoto

Proceedings of the Intelligent Decision Technologies, 2021

2020

Robust Bayesian Regression with Synthetic Posterior Distributions.

Shintaro Hashimoto, Shonosuke Sugasawa

Entropy, 2020

Estimation and inference for area-wise spatial income distributions from grouped data.

Shonosuke Sugasawa, Genya Kobayashi, Yuki Kawakubo

Comput. Stat. Data Anal., 2020

2019

Latent mixture modeling for clustered data.

Shonosuke Sugasawa, Genya Kobayashi, Yuki Kawakubo

Stat. Comput., 2019

Observed best selective prediction in small area estimation.

Shonosuke Sugasawa, Yuki Kawakubo, Gauri Sankar Datta

J. Multivar. Anal., 2019

2017

Bayesian estimators in uncertain nested error regression models.

Shonosuke Sugasawa, Tatsuya Kubokawa

J. Multivar. Anal., 2017

Transforming response values in small area prediction.

Shonosuke Sugasawa, Tatsuya Kubokawa

Comput. Stat. Data Anal., 2017

2016

On conditional prediction errors in mixed models with application to small area estimation.

Shonosuke Sugasawa, Tatsuya Kubokawa

J. Multivar. Anal., 2016

2015

Parametric transformed Fay-Herriot model for small area estimation.

Shonosuke Sugasawa, Tatsuya Kubokawa

J. Multivar. Anal., 2015