RYOYA ODA

Last Updated :2022/11/02

Affiliations, Positions
Graduate School of Advanced Science and Engineering, Assistant Professor
E-mail
ryoya-odahiroshima-u.ac.jp

Basic Information

Major Professional Backgrounds

  • 2018/04/01, 2019/04/30, Japan Society for the Promotion of Science, Special Postdoctoral Researcher(DC2)

Academic Degrees

  • Hiroshima University
  • Hiroshima University

Research Fields

  • Informatics;Principles of Informatics;Statistical science

Research Keywords

  • Multivariate analysis; model selection; asymptotic theory

Educational Activity

Course in Charge

  1. 2022, Liberal Arts Education Program1, 4Term, Fundamental Data Science
  2. 2022, Liberal Arts Education Program1, Second Semester, Foundamental Data Science
  3. 2022, Undergraduate Education, Intensive, Basic mathematics
  4. 2022, Undergraduate Education, 2Term, Exercises in Probability and Mathematical Statistics A
  5. 2022, Undergraduate Education, 1Term, Topics in Probability and Mathematical Statistics
  6. 2022, Undergraduate Education, First Semester, Special Study of Mathematics and Informatics for Graduation
  7. 2022, Undergraduate Education, Second Semester, Special Study of Mathematics and Informatics for Graduation
  8. 2022, Graduate Education (Master's Program) , Academic Year, Mathematical Statistics Seminar
  9. 2022, Graduate Education (Master's Program) , Academic Year, Mathematical Statistics Seminar
  10. 2022, Graduate Education (Master's Program) , 1Term, Probability and Mathematical Statistics B

Research Activities

Academic Papers

  1. Growth curve model with bilinear random coefficients, Sankhya A, 83, 109-127, 2021
  2. Coordinate descent algorithm for normal-likelihood based group Lasso in multivariate linear regression, Proceedings of the 13th KES-IDT 2021 Conference (eds. Czarnowski, I., Howlett, R. J. & Jain, L. C.), Smart Innovation, Systems and Technologies, 238, 429-439, 2021
  3. A consistent likelihood-based variable selection method in normal multivariate linear regression, Proceedings of the 13th KES-IDT 2021 Conference (eds. Czarnowski, I., Howlett, R. J. & Jain, L. C.), Smart Innovation, Systems and Technologies, 238, 391-401, 2021
  4. High-Dimensional asymptotic behaviors of differences between the log-determinants of two Wishart matrices, J. Multivariate Anal., 157, 70-86, 2017
  5. Asymptotic null and non-null distributions of test statistics for redundancy in high-dimensional canonical correlation analysis, Random Matrices-Theo., 1950001, 1-26, 2019
  6. A consistent variable selection method in high-dimensional canonical discriminant analysis, JOURNAL OF MULTIVARIATE ANALYSIS, 175, 202001
  7. A fast and consistent variable selection method for high-dimensional multivariate linear regression with a large number of explanatory variables, ELECTRONIC JOURNAL OF STATISTICS, 14(1), 1386-1412, 2020
  8. Consistent variable selection criteria in multivariate linear regression even when dimension exceeds sample size, HIROSHIMA MATHEMATICAL JOURNAL, 50(3), 339-374, 202011
  9. Strong Consistency of Log-Likelihood-Based Information Criterion in High-Dimensional Canonical Correlation Analysis, SANKHYA-SERIES A-MATHEMATICAL STATISTICS AND PROBABILITY, 83(1), 109-127, 202102
  10. A high-dimensional bias-corrected AIC for selecting response variables in multivariate calibration, COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 50(14), 3453-3476, 20210718

Invited Lecture, Oral Presentation, Poster Presentation

  1. A consistent variable selection method with GIC in multivariate linear regression even when dimensions are large, Ryoya Oda, Hirokazu Yanagihara, 4th International Conference on Econometrics and Statistics (EcoSta 2021), 2021, With Invitation, English
  2. A consistent likelihood-based variable selection method in normal multivariate linear regression, Ryoya Oda, Hirokazu Yanagihara, 13th International KES Conference, IDT-21, 2021, With Invitation, English