SHINPEI IMORI

Last Updated :2025/06/16

Affiliations, Positions
Graduate School of Advanced Science and Engineering, Associate Professor
E-mail
imorihiroshima-u.ac.jp

Basic Information

Educational Backgrounds

  • Hiroshima University, Graduate School of Science , Department of Mathematics, Japan, 2012/04, 2014/09
  • Hiroshima University, Graduate School of Science , Department of Mathematics, Japan, 2010/04, 2012/03

Academic Degrees

  • Master of Science, Hiroshima University
  • Doctor of Science, Hiroshima University

Research Fields

  • Informatics;Principles of Informatics;Statistical science

Research Keywords

  • Mathematical Statistics

Educational Activity

Course in Charge

  1. 2025, Liberal Arts Education Program1, 4Term, Fundamental Data Science
  2. 2025, Liberal Arts Education Program1, 3Term, Seminar in Linear AlgebraII
  3. 2025, Undergraduate Education, 2Term, Probability and Mathematical Statistics A
  4. 2025, Undergraduate Education, First Semester, Special Study of Mathematics and Informatics for Graduation
  5. 2025, Undergraduate Education, Second Semester, Special Study of Mathematics and Informatics for Graduation
  6. 2025, Undergraduate Education, 1Term, Inferential Statistics
  7. 2025, Graduate Education (Master's Program) , Year, Mathematical Statistics Seminar
  8. 2025, Graduate Education (Master's Program) , 1Term, Probability and Mathematical Statistics D
  9. 2025, Graduate Education (Master's Program) , Year, Exercises in Mathematics
  10. 2025, Graduate Education (Master's Program) , First Semester, Exercises in Mathematics A
  11. 2025, Graduate Education (Master's Program) , Second Semester, Exercises in Mathematics B
  12. 2025, Graduate Education (Master's Program) , Year, Seminar in Mathematics

Research Activities

Academic Papers

  1. Categorical data analysis using discretization of continuous variables to investigate associations in marine ecosystems, ENVIRONMETRICS, 35(6), 202409
    Link to Paper Search Results by DOI
  2. Efficacy of Episil® in patients with hematologic malignancies: a comparative study, BMC ORAL HEALTH, 24(1), 20240503
    Link to Paper Search Results by DOI
  3. ASYMPTOTIC OPTIMALITY OF CP-TYPE CRITERIA IN HIGH-DIMENSIONAL MULTIVARIATE LINEAR REGRESSION MODELS, STATISTICA SINICA, 33, 1233-1248, 2023
    Link to Paper Search Results by DOI
  4. Growth Curve Model with Bilinear Random Coefficients, Sankhya A, 84(2), 477-508, 202208
    Link to Paper Search Results by DOI
  5. Self-consistent quantum tomography with regularization, Physical Review A, 103(6), 202106
  6. Upper and Lower Bounds of the Dispersion of a Mean Estimator in the Growth Curve Model, Statistics and Applications, 18(2), 35-44, 202011
  7. On the mean and dispersion of the Moore-Penrose generalized inverse of a Wishart matrix, Electronic Journal of Linear Algebra, 36, 124-133, 202003
  8. Statistical inference for estimating the incidence of cancer at the prefectural level in Japan, Japanese Journal of Clinical Oncology, 49(5), 481-485, 201905
  9. An information criterion for auxiliary variable selection in incomplete data analysis, Entropy, 21(3), 201903
  10. Model selection criterion based on the prediction mean squared error in generalized estimating equations, Hiroshima Mathematical Journal, 48(3), 307-334, 201811
  11. A study on the bias-correction effect of the AIC for selecting variables in normal multivariate linear regression models under model misspecification, REVSTAT–Statistical Journal, 15(3), 299-332, 201707
  12. Model selection criterion based on the multivariate quasi-likelihood for generalized estimating equations, Scandinavian Journal of Statistics, 42(4), 1214-1224, 201512
  13. Covariance components selection in high-dimensional growth curve model with random coefficients, Journal of Multivariate Analysis, 136, 86-94, 201504
  14. Consistent selection of working correlation structure in GEE analysis based on Stein’s loss function, Hiroshima Mathematical Journal, 45(1), 91-107, 201503
  15. Lasso penalized model selection criteria for high-dimensional multivariate linear regression analysis, Journal of Multivariate Analysis, 132, 138-150, 201411
  16. Simple formula for calculating bias-corrected AIC in generalized linear models, Scandinavian Journal of Statistics, 41(2), 535-555, 201406
  17. Bias-corrected AIC for selecting variables in multinomial logistic regression models, Linear Algebra and its Applications, 436(11), 4329-4341, 20120601

Invited Lecture, Oral Presentation, Poster Presentation

  1. Importance weighted orthogonal greedy algorithm with estimated weight function, Imori, S., Ing, C.-K., 6th International Conference on Econometrics and Statistics (EcoSta 2023), 2023/08/03, With Invitation, English, Japan (Waseda University, Tokyo)
  2. Weighted orthogonal greedy algorithm for prediction under covariate shift, Imori, S., International Conference for Statistics and Data Science, 2023/07/13, With Invitation, English, Taiwan (Academica Sinica, Taipei)
  3. Variable selection in high-dimensional multivariate linear regression models, Shinpei Imori, MSJ Autumn Meeting 2022, 2022/09/15, With Invitation, Japanese, Japan (Hokkaido University, Hokkaido)
  4. Convergence rate of importance weighted orthogonal greedy algorithm, Imori, S., The 11th ICSA International Conference, 2019/12/21, With Invitation, English, China (Hangzhou Dragon Hotel, Hangzhou)
  5. Asymptotic efficiency of Cp-type criterion in high-dimensional multivariate linear regression models, Imori, S., The 3rd International Conference on Econometrics and Statistics (EcoSta 2019), 2019/06/25, With Invitation, English, Taiwan (National Chung Hsing University, Taichung)
  6. Growth curve model with bilinear random coefficient, Imori, S., von Rosen, D. & Oda, R., CMStatistics, 2018/12/15, With Invitation, English, Italy (University of Pisa, Pisa)
  7. Orthogonal greedy algorithm under covariate shift, Imori, S., The International Conference on Trends and Perspectives in Linear Statistical Inference, 2018/08/21, With Invitation, English, Poland (Bedlewo Conference center, Bedlewo)
  8. Convergence rate of OGA under covariate shift, Imori, S., The 5th Institute of Mathematical Statistics Asia Pacific Rim Meeting, 2018/06/28, With Invitation, English, Singapore (National University of Singapore, Singapore)

External Funds

Acceptance Results of Competitive Funds

  1. KAKENHI(Grant-in-Aid for Young Scientists (B)), 2017, 2020
  2. KAKENHI(Grant-in-Aid for Early-Career Scientists), 2020, 2023