Shonosuke Sugasawa

23 papers A* 1Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
Causal Inference Under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects.
AAAI
Kohsuke Kubota, Shonosuke Sugasawa
2026 J jnl
Semiparametric imputation using latent sparse conditional Gaussian mixtures for multivariate mixed outcomes.
J. Multivar. Anal.
Shonosuke Sugasawa, Jae Kwang Kim, Kosuke Morikawa
2026 J jnl
The Group R2D2 Shrinkage Prior for Sparse Linear Models with Grouped Covariates.
Stat. Comput.
Eric Yanchenko, Kaoru Irie, Shonosuke Sugasawa
2025 J jnl
Causal Inference under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects.
CoRR
Kohsuke Kubota, Shonosuke Sugasawa
2025 J jnl
Ensemble Prediction via Covariate-dependent Stacking.
Stat. Comput.
Tomoya Wakayama, Shonosuke Sugasawa
2024 J jnl
Adaptively Robust and Sparse
Trans. Mach. Learn. Res.
Hao Li, Shonosuke Sugasawa, Shota Katayama
2024 J jnl
Fast and locally adaptive Bayesian quantile smoothing using calibrated variational approximations.
Stat. Comput.
Takahiro Onizuka, Shintaro Hashimoto, Shonosuke Sugasawa
2024 J jnl
Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions.
J. Comput. Graph. Stat.
Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa
2023 J jnl
Adaptation of the tuning parameter in general Bayesian inference with robust divergence.
Stat. Comput.
Shouto Yonekura, Shonosuke Sugasawa
2023 J jnl
On Data Augmentation for Models Involving Reciprocal Gamma Functions.
J. Comput. Graph. Stat.
Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa
2022 J jnl
Log-regularly varying scale mixture of normals for robust regression.
Comput. Stat. Data Anal.
Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa
2022 J jnl
Robust fitting of mixture models using weighted complete estimating equations.
Comput. Stat. Data Anal.
Shonosuke Sugasawa, Genya Kobayashi
2021 J jnl
Improved confidence regions in meta-analysis of diagnostic test accuracy.
Comput. Stat. Data Anal.
Tsubasa Ito, Shonosuke Sugasawa
2021 J jnl
On Selection Criteria for the Tuning Parameter in Robust Divergence.
Entropy
Shonosuke Sugasawa, Shouto Yonekura
2021 — conf
Robust Bayesian Changepoint Analysis in the Presence of Outliers.
KES-IDT
Shonosuke Sugasawa, Shintaro Hashimoto
2020 J jnl
Estimation and inference for area-wise spatial income distributions from grouped data.
Comput. Stat. Data Anal.
Shonosuke Sugasawa, Genya Kobayashi, Yuki Kawakubo
2020 J jnl
Robust Bayesian Regression with Synthetic Posterior Distributions.
Entropy
Shintaro Hashimoto, Shonosuke Sugasawa
2019 J jnl
Latent mixture modeling for clustered data.
Stat. Comput.
Shonosuke Sugasawa, Genya Kobayashi, Yuki Kawakubo
2019 J jnl
Observed best selective prediction in small area estimation.
J. Multivar. Anal.
Shonosuke Sugasawa, Yuki Kawakubo, Gauri Sankar Datta
2017 J jnl
Bayesian estimators in uncertain nested error regression models.
J. Multivar. Anal.
Shonosuke Sugasawa, Tatsuya Kubokawa
2017 J jnl
Transforming response values in small area prediction.
Comput. Stat. Data Anal.
Shonosuke Sugasawa, Tatsuya Kubokawa
2016 J jnl
On conditional prediction errors in mixed models with application to small area estimation.
J. Multivar. Anal.
Shonosuke Sugasawa, Tatsuya Kubokawa
2015 J jnl
Parametric transformed Fay-Herriot model for small area estimation.
J. Multivar. Anal.
Shonosuke Sugasawa, Tatsuya Kubokawa