Presentation


  International:

  1. Rei Monden, Mineaki Ohishi, Ryoya Oda & Hirokazu Yanagihara.
    Group-Lasso for three-mode GMANOVA model with unknown item structure.
    The International Meeting of the Psychometric Society 2026, Longitudinal Methods.
    Yonsei University, Seoul, Republic of Korea. 2026/7/21 ~ 24.
  2. Mineaki Ohishi.
    Optimization of generalized fused Lasso in generalized linear models.
    The CSAT-JSS-KSS Joint Meeting: Complex Data Analysis in Joint Meeting of the IASC-ARS Interim Conference 2024 and CSAT 2024 ~Statistical Computing and Methods for Complex Data~.
    GIS NTU Convention Center, Gongguan Campus of National Taiwan University, Taipei, Taiwan. 2024/12/13 ~ 14. (Oral).
  3. Koki Kirishima, Mineaki Ohishi, Ryoya Oda, Kensuke Okamura, Yoshimichi Itoh & Hirokazu Yanagihara.
    Applicability of TreeSHAP to analyze real estate data.
    The 26th International Conference on COMPUTATIONAL STATISTICS, Organized Invited Session: Clustering and classification for complex data (Organizer: Sato-Ilic, M.).
    The University of Giessen, Giessen, Germany (Hybrid). 2024/8/27 ~ 30.
  4. Mariko Yamamura, Mineaki Ohishi & Hirokazu Yanagihara.
    On Lasso Poisson regression for categorical variables.
    The 26th International Conference on COMPUTATIONAL STATISTICS, Organized Invited Session: Clustering and classification for complex data (Organizer: Sato-Ilic, M.).
    The University of Giessen, Giessen, Germany (Hybrid). 2024/8/27 ~ 30.
  5. Mariko Yamamura, Mineaki Ohishi & Hirokazu Yanagihara.
    Poisson regression with categorical explanatory variables via Lasso using the median as a baseline.
    The 16th International KES Conference on Intelligent Decision Technologies, Invited Session: Statistical Analysis and Model Selection for Complex Structed Data (Chairs: Monden, R. & Yamamura, M.).
    Hotel Vila Galé Santa Cruz, Santa Cruz, Portugal (Hybrid). 2024/6/19 ~ 21.
  6. Mariko Yamamura, Mineaki Ohishi & Hirokazu Yanagihara.
    Additive Poisson regression via forced categorical covariates and generalized fused Lasso.
    The 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Invited Session: Knowledge-based Data Analysis for Complex Data (Chair: Sato-Ilic, M.).
    Royal Olympic Hotel, Athens, Greece (Hybrid). 2023/9/6 ~ 8.
  7. Koki Kirishima, Mineaki Ohishi & Hirokazu Yanagihara.
    Comparison of prediction methods for spatial data using real estate data.
    The 25th International Conference on COMPUTATIONAL STATISTICS, Organized Invited Session: Recent clustering methods for complex data (Organizer: Sato-Ilic, M.).
    Birkbeck, University of London, London, UK (Hybrid). 2023/8/22 ~ 25.
  8. Mineaki Ohishi & Hirokazu Yanagihara.
    Clustering for category variables in linear regression via generalized fused Lasso.
    The 25th International Conference on COMPUTATIONAL STATISTICS, Organized Invited Session: Recent clustering methods for complex data (Organizer: Sato-Ilic, M.).
    Birkbeck, University of London, London, UK (Hybrid). 2023/8/22 ~ 25. (Online).
  9. Mineaki Ohishi.
    Variable selection and prediction for geographically weighted regression.
    The 9th CWRU ~TOHOKU Joint Workshop.
    Tohoku University, Sendai, Japan. 2023/8/7 ~ 8. (Oral).
  10. Mariko Yamamura, Mineaki Ohishi & Hirokazu Yanagihara.
    Spatio-temporal analysis of rates derived from count data using generalized fused Lasso.
    The 15th International KES Conference on Intelligent Decision Technologies, Invited Session: Recent Development of Multivariate Analysis and Model Selection (Chairs: Monden, R. & Yamamura, M.).
    Barcelo Aran Mantegna Hotel, Rome, Italy. 2023/6/14 ~ 16.
  11. Mineaki Ohishi, Koki Kirishima, Kensuke Okamura, Yoshimichi Itoh & Hirokazu Yanagihara.
    Geographically weighted sparse group Lasso: local and global variable selections for GWR.
    The 15th International KES Conference on Intelligent Decision Technologies, Invited Session: Recent Development of Multivariate Analysis and Model Selection (Chairs: Monden, R. & Yamamura, M.).
    Barcelo Aran Mantegna Hotel, Rome, Italy. 2023/6/14 ~ 16. (Oral).
  12. Hirokazu Yanagihara, Mariko Yamamura, Mineaki Ohishi, Keisuke Fukui, Hiroko Solvang, Nils Øien & Tore Haug.
    Estimation of spatial effects by generalized fused Lasso for nonuniformly sampled spatial data using body condition data set from common minke whales.
    IMR-Waseda Workshop: Advances in pragmatic computational methodologies for fish stock assessment, human impact, and environmental factor on marine ecosystems.
    Institute of Marine Research, Bergen, Norway. 2023/3/28 ~ 29.
  13. Mariko Yamamura, Mineaki Ohishi & Hirokazu Yanagihara.
    Spatio-temporal adaptive fused Lasso for proportion data.
    The 13th KES International Conference on Intelligent Decision Technologies, Invited Session: Spatial Data Analysis and Sparse Estimation (Chair: Yamamura, M.).
    KES Virtual Conference Centre. 2021/6/14 ~ 16.
  14. Mineaki Ohishi, Kensuke Okamura, Yoshimichi Itoh & Hirokazu Yanagihara.
    Optimizations for categorizations of explanatory variables in linear regression via generalized fused Lasso.
    The 13th KES International Conference on Intelligent Decision Technologies, Invited Session: Spatial Data Analysis and Sparse Estimation (Chair: Yamamura, M.).
    KES Virtual Conference Centre. 2021/6/14 ~ 16. (Video).
  15. Keisuke Fukui, Mineaki Ohishi, Mariko Yamamura & Hirokazu Yanagihara.
    A fast optimization method for additive model via partial generalized ridge regression.
    The 12th KES International Conference on Intelligent Decision Technologies, Invited Session: High-Dimensional Data Analysis and Its Applications (Chair: Sato-Ilic, M.).
    KES Virtual Conference Centre. 2020/6/17 ~ 19.
  16. Mineaki Ohishi, Hirokazu Yanagihara & Hirofumi Wakaki.
    Optimization of generalized Cp criterion for selecting ridge parameters in generalized ridge regression.
    The 12th KES International Conference on Intelligent Decision Technologies, Invited Session: High-Dimensional Data Analysis and Its Applications (Chair: Sato-Ilic, M.).
    KES Virtual Conference Centre. 2020/6/17 ~ 19. (Video).
  17. Mineaki Ohishi & Hirokazu Yanagihara.
    A fast algorithm for solving model selection criterion minimization problem in generalized ridge.
    IMS - Asia Pacific Rim Meeting 2018, Contributed Paper Sessions.
    National University of Singapore. 2018/6/26 ~ 29. (Oral).
  18. Mineaki Ohishi & Hirokazu Yanagihara.
    Equivalence under optimal regularization parameters between generalized ridge and adaptive-Lasso estimates in linear regression with orthogonal explanatory variables.
    Hiroshima Statistics Study Group seminars.
    Radiation Effects Research Foundation, Hiroshima. 2017/11/24. (Oral).
  19. Mineaki Ohishi & Hirokazu Yanagihara.
    Equivalence between adaptive-Lasso and generalized ridge estimates in linear regression with orthogonal explanatory variables after optimizing regularization parameters.
    Capital Normal University-Hiroshima University Joint conference on Mathematics.
    Capital Normal University, Beijing, China. 2017/9/21 ~ 22. (Oral).