Paper


  査読付き論文:

  1. Mineaki Ohishi, Keisuke Fukui, Kensuke Okamura, Yoshimichi Itoh & Hirokazu Yanagihara. (2021).
    Coordinate optimization for generalized fused Lasso.
    Communications in Statistics - Theory and Methods (in press).
    DOI: 10.1080/03610926.2021.1931888 [Open Access].
    Technical Report: Hiroshima Statistical Research Group Technical Report, TR-No. 19-07.
  2. Mariko Yamamura, Mineaki Ohishi & Hirokazu Yanagihara. (2021).
    Spatio-temporal adaptive fused Lasso for proportion data.
    Proceedings of the 13th KES-IDT 2021 Conference (eds. Czarnowski, I., Howlett, R. J. & Jain, L. C.),
    Smart Innovation, Systems and Technologies, 238, 479--489.
    DOI: 10.1007/978-981-16-2765-1_40.
  3. Mineaki Ohishi, Kensuke Okamura, Yoshimichi Itoh & Hirokazu Yanagihara. (2021).
    Optimizations for categorizations of explanatory variables in linear regression via generalized fused Lasso.
    Proceedings of the 13th KES-IDT 2021 Conference (eds. Czarnowski, I., Howlett, R. J. & Jain, L. C.),
    Smart Innovation, Systems and Technologies, 238, 457--467.
    DOI: 10.1007/978-981-16-2765-1_38.
    Technical Report: Hiroshima Statistical Research Group Technical Report, TR-No. 21-01.
  4. Mineaki Ohishi. (2021).
    Ridge parameters optimization based on minimizing model selection criterion in multivariate generalized ridge regression.
    Hiroshima Mathematical Journal, 51 (2), 177--226.
    DOI: 10.32917/h2020104 [Open Access].
    Technical Report: Hiroshima Statistical Research Group Technical Report, TR-No. 20-07.
  5. Keisuke Fukui, Mineaki Ohishi, Mariko Yamamura & Hirokazu Yanagihara. (2020).
    A fast optimization method for additive model via partial generalized ridge regression.
    Proceedings of the 12th KES International Conference on Intelligent Decision Technologies (eds. Czarnowski, I., Howlett, R. J. & Jain, L. C.),
    Smart Innovation, Systems and Technologies, 193, 279--290.
    DOI: 10.1007/978-981-15-5925-9_24.
  6. Mineaki Ohishi, Hirokazu Yanagihara & Hirofumi Wakaki. (2020).
    Optimization of generalized Cp criterion for selecting ridge parameters in generalized ridge regression.
    Proceedings of the 12th KES International Conference on Intelligent Decision Technologies (eds. Czarnowski, I., Howlett, R. J. & Jain, L. C.),
    Smart Innovation, Systems and Technologies, 193, 267--278.
    DOI: 10.1007/978-981-15-5925-9_23.
  7. Mineaki Ohishi, Hirokazu Yanagihara & Shuichi Kawano. (2020).
    Equivalence between adaptive-Lasso and generalized ridge estimators in linear regression with orthogonal explanatory variables after optimizing regularization parameters.
    Annals of the Institute of Statistical Mathematics, 72 (6), 1501--1516.
    DOI: 10.1007/s10463-019-00734-2.
    Technical Report: Hiroshima Statistical Research Group Technical Report, TR-No. 19-05.
  8. Mineaki Ohishi, Hirokazu Yanagihara & Yasunori Fujikoshi. (2020).
    A fast algorithm for optimizing ridge parameters in a generalized ridge regression by minimizing a model selection criterion.
    Journal of Statistical Planning and Inference, 204, 187--205.
    DOI: 10.1016/j.jspi.2019.04.010.
    Technical Report: Hiroshima Statistical Research Group Technical Report, TR-No. 17-07.

  Preprint:

  1. Mineaki Ohishi, Kensuke Okamura, Yoshimichi Itoh & Hirokazu Yanagihara. (2021).
    Coordinate descent algorithm for generalized group fused Lasso.
    Hiroshima Statistical Research Group Technical Report, TR-No. 21-02, Hiroshima University. [ PDF ]

  紀要:

  1. 大石峰暉・蛹エ宏和. (2017).
    Minimization algorithm of model selection criterion for optimizing tuning parameter in Lasso estimator when explanatory variables are orthogonal.
    RIMS講究録, 京都大学数理解析研究所, 京都, 2047, 124--140.
    HANDLE: 2433/237035.

  学位論文: