Shintaro Hashimoto's website

I am a member of ISBA (International Society for Bayesian Analysis), MJS (Mathematical Society of Japan) and JSS (Japan Statsitical Society).

Research Interests

• Bayesian inference
• Higher order asymptotic theory
• Information inequalities
• Monte Carlo methods
• Non-regular statistical models

Education

• 2015 Ph.D. Department of Mathematics, University of Tsukuba, Japan
• 2013 M.A. Department of Mathematics, University of Tsukuba, Japan
• 2011 B.A. Department of Mathematics, University of Tsukuba, Japan

Preprints

• Onizuka, T. and Hashimoto, S. (2023). Robust Bayesian graphical modeling using γ-divergence. R&R. R-code, arXiv.
• Iwashige, F. and Hashimoto, S. (2025). Bayesian mixture modeling using a mixture of finite mixtures with normalized inverse Gaussian weights. Submitted. R-code, arXiv.
• Hamura, Y., Onizuka, T., Hashimoto, S. and Sugasawa, S. (2025). Robust Bayesian inference for censored survival models. Submitted. R-code, arXiv.

Publications

• Hamura, Y., Onizuka, T., Hashimoto, S. and Sugasawa, S. (2024). Sparse Bayesian inference on gamma-distributed observations using shape-scale inverse-gamma mixtures. Bayesian Analysis, 19(1), 77-97. R-code, arXiv, web.
• Onizuka, T., Hashimoto, S. and Sugasawa, S. (2024). Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo. Spatial Statistics, 59, 100793. R-code, arXiv, web
• Onizuka, T., Iwashige, F. and Hashimoto, S. (2024). Bayesian boundary trend filtering. Computational Statistics and Data Analysis, 191, 107889. R-code, arXiv, web.
• Onizuka, T., Hashimoto, S. and Sugasawa, S. (2024). Fast and locally adaptive Bayesian quantile smoothing using calibrated variational approximations. Statistics and Computing, 34, article number: 15. R-code, arXiv, web.
• Kawakami, J. and Hashimoto, S. (2023). Approximate Gibbs sampler for Bayesian Huberized lasso. Journal of Statistical Computation and Simulation, 93(1), 128-162. arXiv, web.
• Hashimoto, S. (2021). Predictive probability matching priors for a certain non-regular model. Statistics and Probability Letters, 174, 109096. web
• Hashimoto, S. (2021). Reference priors via α-divergence for a certain non-regular model in the presence of a nuisance parameter. Journal of Statistical Planning and Inference, 213, 162-178. web, Technical Report
• Sugasawa, S. and Hashimoto, S. (2021). Robust Bayesian changepoint analysis in the presence of outliers. Proceedings of the 13th KES-IDT 2021 Conference (eds. Czarnowski, I., Howlett, R. J. & Jain, L. C.), Smart Innovation, Systems and Technologies, 469-478. web
• Koike, K. and Hashimoto, S. (2021). Improvement of Bobrovsky-Mayor-Wolf-Zakai bound. Entropy, 23(2), 161. web
• Nakagawa, T. and Hashimoto, S. (2021). On default priors for robust Bayesian estimation with divergences. Entropy, 23(1), 29. arXiv, web
• Hashimoto, S. and Sugasawa, S. (2020). Robust Bayesian regression with synthetic posterior distributions. Entropy, 22(6), 661. R-code, arXiv, web
• Nakagawa, T. and Hashimoto, S. (2020). Robust Bayesian inference via γ-divergence, Communications in Statistics - Theory and Methods, 49(2), 343-360. web
• Hashimoto, S. (2019). Moment matching priors for non-regular models, Journal of Statistical Planning and Inference, 203, 169-177. web, Technical Report
• Hashimoto, S. (2017). Robust estimation for skew-normal distribution with location and scale parameters via log-regularly varying functions. International Journal of Statistics and Systems, 12(4), 813-822. web
• Akahira, M., Hashimoto, S., Koike, K. and Ohyauchi, N. (2016). Second order asymptotic comparison of the MLE and MCLE for a two-sided truncated exponential family of distributions. Communications in Statistics - Theory and Methods, 45(19), 5637-5659. web
• Hashimoto, S. and Koike, K. (2015). Bhattacharyya type information inequality for the Bayes risk. Communications in Statistics - Theory and Methods, 44(24), 5213-5524. web

Book translation

• 標準ベイズ統計学，朝倉書店，ピーター・D・ホフ (著)，入江薫・菅澤翔之助・橋本真太郎 (訳), 2022年
  Japanese translation of "A First Course in Bayesian Statistical Methods" by Peter, D. Hoff (Springer)
  
  正誤表（第3版以降）
  

Grants

• Grant-in-Aid for Early-Career Scientists, Grant Number: 21K13835, 2021-2024 (Principal Investigator)
• Grant-in-Aid for Scientific Research (B), Grant Number: 21H00699, 2021-2024 (Co-Investigator)
• Grant-in-Aid for Scientific Research (C), Grant Number: 20K11702, 2020-2022 (Co-Investigator)
• Grant-in-Aid for Young Scientists (B), Grant Number: 17K14233, 2017-2020 (Principal Investigator)
• University of Tsukuba Basic Research Support Problem Type A, 360,000 yen, 2014-2015

Ph.D Students

• Takahiro Onizuka (2022-2024): He is currently working as a Lecturer at Graduate School of Social Sciences, Chiba University
• Fumiya Iwashige (2024-)

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Teaching (in Japanese)

講義・学生指導のページへ, 広島大学研究者総覧

Others (in Japanese)

• スタンフォード滞在記，(シリーズ「研究滞在記」)，日本統計学会会報, No. 170, pp. 7-9.
• 研究紹介（広島大学大学院先進理工系科学研究科ホームページ）
• 夢ナビ講義動画「不確実性を評価する」（高校生向け）