SHINTARO HASHIMOTO

Last Updated :2024/10/01

Affiliations, Positions
Graduate School of Advanced Science and Engineering, Associate Professor
Web Site
E-mail
s-hashimotohiroshima-u.ac.jp
Self-introduction
I study Bayesian statistics.

Basic Information

Major Professional Backgrounds

  • 2015/10/01, 2017/03/31, Hiroshima University, Graduate School of Science, Assistant Professor (Special Appointment)
  • 2017/04/01, 2019/03/31, Hiroshima University, Graduate School of Science, Assistant Professor
  • 2019/04/01, 2020/03/31, Hiroshima University, Graduate School of Science, Associate Professor
  • 2020/04/01, Hiroshima University, Graduate School of Advanced Science and Engineering, Associate Professor

Educational Backgrounds

  • University of Tsukuba, Japan, 2013/04, 2015/11
  • University of Tsukuba, Japan, 2011/04, 2013/03
  • University of Tsukuba, Japan, 2007/04, 2011/03

Academic Degrees

  • M.A. (Science), University of Tsukuba
  • Ph.D. (Science), University of Tsukuba

Educational Activity

  • [Bachelor Degree Program] School of Integrated Arts and Sciences : Department of Integrated Arts and Sciences : Integrated Arts and Sciences
  • [Bachelor Degree Program] School of Science : Mathematics : Mathematics
  • [Master's Program] Graduate School of Advanced Science and Engineering : Division of Advanced Science and Engineering : Mathematics Program
  • [Doctoral Program] Graduate School of Advanced Science and Engineering : Division of Advanced Science and Engineering : Mathematics Program

In Charge of Primary Major Programs

  • Mathematics

Research Fields

  • Mathematical and physical sciences;Mathematics;Foundations of mathematics / Applied mathematics

Research Keywords

  • Bayesian Statistics
  • Higher order asymptotics
  • Information inequalities
  • Monte Carlo methods
  • Non-regular statistical models

Affiliated Academic Societies

  • The Mathematical Society of Japan
  • Japan Statistical Society
  • International Society of Bayesian Analysis

Educational Activity

Course in Charge

  1. 2024, Liberal Arts Education Program1, 3Term, The world of mathematics
  2. 2024, Liberal Arts Education Program1, 1Term, CalculusI
  3. 2024, Undergraduate Education, 4Term, Foundation of Date Analysis
  4. 2024, Undergraduate Education, 3Term, Seminar in Mathematics I
  5. 2024, Undergraduate Education, 4Term, Seminar in Mathematics II
  6. 2024, Undergraduate Education, First Semester, Special Study of Mathematics and Informatics for Graduation
  7. 2024, Undergraduate Education, Second Semester, Special Study of Mathematics and Informatics for Graduation
  8. 2024, Graduate Education (Master's Program) , Academic Year, Geometric and Algebraic Analysis Seminar
  9. 2024, Graduate Education (Master's Program) , 1Term, Geometric and Algebraic Analysis A
  10. 2024, Graduate Education (Master's Program) , 3Term, Geometric and Algebraic Analysis B
  11. 2024, Graduate Education (Master's Program) , Academic Year, Exercises in Mathematics
  12. 2024, Graduate Education (Master's Program) , First Semester, Exercises in Mathematics A
  13. 2024, Graduate Education (Master's Program) , Second Semester, Exercises in Mathematics B
  14. 2024, Graduate Education (Master's Program) , Academic Year, Seminar in Mathematics
  15. 2024, Graduate Education (Doctoral Program) , Academic Year, Seminar in Mathematics

Research Activities

Academic Papers

  1. ★, Bhattacharyya-Type Information Inequality for the Bayes Risk, COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 44(24), 5213-5224, 2015
  2. Reference prior based on a general divergence for multi-parameter non-regular models, RIMS (Research Institute for Mathematical Sciences, Kyoto University) kokyuroku, 125-133, 2015
  3. 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, 2016
  4. Robust estimation of skew-normal distribution with location and scale parameters via log-regularly varying functions, International Journal of Statistics and Systems, 12(4), 813-822, 2017
  5. Robust estimation of location and scale parameters for skew-normal distribution using log-Pareto function, RIMS (Research Institute for Mathematical Sciences, Kyoto University) kokyuroku, 67-76, 2017
  6. Comparison of two robust Bayes estimations using the divergence, RIMS (Research Institute for Mathematical Sciences, Kyoto University) kokyuroku, 55-65, 2017
  7. Moment matching priors for non-regular models, JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 203, 169-177, 2019
  8. Objective priors via moment matching criterion for non-regular models, RIMS (Research Institute for Mathematical Sciences, Kyoto University) kokyuroku, 2091, 55-64, 2018
  9. Robust Bayesian Regression with Synthetic Posterior Distributions, ENTROPY, 22(6), 202006
  10. On Default Priors for Robust Bayesian Estimation with Divergences, ENTROPY, 23(1), 202101
  11. ★, Reference priors via alpha-divergence for a certain non-regular model in the presence of a nuisance parameter, JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 213, 162-178, 202107
  12. Improvement of Bobrovsky-Mayor-Wolf-Zakai Bound, ENTROPY, 23(2), 202102
  13. ★, Predictive probability matching priors for a certain non-regular model, STATISTICS & PROBABILITY LETTERS, 174, 202107
  14. Robust Bayesian inference via gamma-divergence, COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 49(2), 343-360, 20200117
  15. 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, 238, 469-478, 2021
  16. Approximate Gibbs sampler for Bayesian Huberized lasso, JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 93(1), 128-162, 20230102
  17. ★, Fast and locally adaptive Bayesian quantile smoothing using calibrated variational approximations, STATISTICS AND COMPUTING, 34(1), 202402
  18. Bayesian boundary trend filtering, COMPUTATIONAL STATISTICS & DATA ANALYSIS, 191, 202403
  19. Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo, SPATIAL STATISTICS, 59, 202403
  20. ★, Sparse Bayesian Inference on Gamma-Distributed Observations Using Shape-Scale Inverse-Gamma Mixtures, BAYESIAN ANALYSIS, 19(1), 77-97, 202403

Invited Lecture, Oral Presentation, Poster Presentation

  1. Information inequalities for the Bayes risk, Shintaro Hashimoto, Tsukuba Workshop for Young Mathematicians, 2013/02/01, Without Invitation, English, Tsukuba Center for Institutes (Tsukuba-city, Ibaraki, Japan)
  2. Asymptotic properties of estimators for the truncated exponential family, Shintaro Hashimoto, Hiroshima Conference on Statistical Science, 2016/12, With Invitation, English, Hiroshima University
  3. Statistical inference in terms of Bayesian inverse problem, Shintaro Hashimoto, Workshop for young scholars Control and inverse problems on waves, oscillations and flows - Mathematical analysis and computational methods -, 2017/08, With Invitation, Ryoshinkan, Imadegawa Campus, Doshisha University
  4. Robust Bayesian estimation based on gamma-divergence, Shintaro Hashimoto, 2018 International Society for Bayesian Analysis (ISBA) World Meeting, 2018/06, Without Invitation, English, The University of Edinburgh, UK
  5. Robust Bayesian inference via weighted likelihood functions, Shintaro Hashimoto, York - Hiroshima Joint Symposium 2018 "Statistical Penalisation Methods and Dimension Reduction Methods for Economic and Financial Analysis", 2018/09/25, With Invitation, English, York University, UK
  6. Robust Bayesian estimation using gamma divergence, Tomoyuki Nakagawa, Shintaro Hashimoto, The 11th International Conference of the ERCIM WG on Computational and Methodological Statistics, 2018/12, Without Invitation, English, Italy
  7. Moment matching priors for non-regular models, Shintaro Hashimoto, The 4th Eastern Asia Meeting on Bayesian Statistics, EAC-ISBA 2019, 2019/07/13, With Invitation, English, Kobe University
  8. Objective Priors in Robust quasi-Bayesian Inference using the Divergences, Tomoyuki Nakagawa, Shintaro Hashimoto, THE 4TH EASTERN ASIA MEETING ON BAYESIAN STATISTICS, EAC-ISBA 2019, 2019/07, Without Invitation, English, Kobe, Japan
  9. Robust Bayesian Inference using gamma divergence, Tomoyuki Nakagawa, Shintaro Hashimoto, 10th International Workshop on Simulation and Statistics, 2019/09, With Invitation, English, University of Klagenfurt, Austri
  10. Bayesian inference based on general posterior distributions and their applications, Shintaro Hashimoto, Japanese Mathematical Society Autumn Meeting 2019, 2019/09, With Invitation, Japanese, Kanazawa University
  11. Robust Bayesian Changepoint Analysis in the Presence of Outliers, Shintaro Hashimoto, 13th KES International Conference on Intelligent Decision Technologies KES-IDT-21, 2021/06, With Invitation, English, Italy (online)
  12. Robust Bayesian regression with synthetic posterior, Shintaro Hashimoto, 4th International Conference on Econometrics and Statistics (EcoSta 2021), 2021/06, With Invitation, English, Hong Kong (online)
  13. Bayesian sparse signal recovery for high-dimensional positive-valued data using shape-scale inverse-gamma mixtures, Shintaro Hashimoto, Japanese Joint Statistical Meeting 2022 JSS-KSS-CSA Joint Session (1): Computational Statistics, 2022/09/05, With Invitation, English, Seikei University (online)

External Funds

Acceptance Results of Competitive Funds

  1. KAKENHI(Grant-in-Aid for Early-Career Scientists), 2021, 2024
  2. KAKENHI(Grant-in-Aid for Young Scientists (B)), 2017, 2020

Social Activities

Organizing Academic Conferences, etc.

  1. The 4th Eastern Asia Meeting on Bayesian Statistics, EAC-ISBA 2019, Local organizing committee, 2019/07

Other Social Contributions

  1. An introduction to R (I), 2016, Hiroshima University, Lecturer, General
  2. An introduction R (II), 2017, Hiroshima University, Lecturer, General