Presentation


  International:

  1. 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.
  2. 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.
  3. 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).
  4. 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).
  5. 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.
  6. 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).
  7. 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.
  8. 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.
  9. 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).
  10. 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.
  11. 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).
  12. 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).
  13. 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).
  14. 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).