Department of Mathematics, Hiroshima University,
1-7-1, Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8521, JAPAN
Email: s-hashimoto(at)hiroshima-u.ac.jp
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.
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
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
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