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ORCIDShonosuke Sugasawa
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2020 – today
- 2021
[j10]Tsubasa Ito, Shonosuke Sugasawa:
Improved confidence regions in meta-analysis of diagnostic test accuracy. Comput. Stat. Data Anal. 153: 107068 (2021)- [j9]Shonosuke Sugasawa, Shouto Yonekura:
On Selection Criteria for the Tuning Parameter in Robust Divergence. Entropy 23(9): 1147 (2021) - [c1]Shonosuke Sugasawa, Shintaro Hashimoto:
Robust Bayesian Changepoint Analysis in the Presence of Outliers. KES-IDT 2021: 469-478 - 2020
- [j8]Shonosuke Sugasawa, Genya Kobayashi, Yuki Kawakubo:
Estimation and inference for area-wise spatial income distributions from grouped data. Comput. Stat. Data Anal. 145: 106904 (2020) - [j7]Shintaro Hashimoto, Shonosuke Sugasawa:
Robust Bayesian Regression with Synthetic Posterior Distributions. Entropy 22(6): 661 (2020)
2010 – 2019
- 2019
- [j6]Shonosuke Sugasawa, Yuki Kawakubo, Gauri Sankar Datta:
Observed best selective prediction in small area estimation. J. Multivar. Anal. 173: 383-392 (2019) - [j5]Shonosuke Sugasawa, Genya Kobayashi, Yuki Kawakubo:
Latent mixture modeling for clustered data. Stat. Comput. 29(3): 537-548 (2019) - 2017
- [j4]Shonosuke Sugasawa, Tatsuya Kubokawa:
Transforming response values in small area prediction. Comput. Stat. Data Anal. 114: 47-60 (2017) - [j3]Shonosuke Sugasawa, Tatsuya Kubokawa:
Bayesian estimators in uncertain nested error regression models. J. Multivar. Anal. 153: 52-63 (2017) - 2016
- [j2]Shonosuke Sugasawa, Tatsuya Kubokawa:
On conditional prediction errors in mixed models with application to small area estimation. J. Multivar. Anal. 148: 18-33 (2016) - 2015
- [j1]Shonosuke Sugasawa, Tatsuya Kubokawa:
Parametric transformed Fay-Herriot model for small area estimation. J. Multivar. Anal. 139: 295-311 (2015)
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