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J-GLOBAL ID：200901020030456784   Update date: Feb. 14, 2024

Honda Toshio

ホンダ トシオ | Honda Toshio
Affiliation and department：
Hitotsubashi University Graduate School of Economics

About Hitotsubashi University Graduate School of Economics


Job title： Professor
Other affiliations (2)：
Homepage URL  (1)： http://www1.econ.hit-u.ac.jp/honda/e-honda.html
Research field  (3)： Statistical science ,  Applied mathematics and statistics ,  Basic mathematics
Research keywords  (3)： Econometrics ,  Statistics ,  Data science
Research theme for competitive and other funds  (8)：
  • 2020 - 2023 Studies on statistical inference for ultra-high dimensional semiparametric models
  • 2016 - 2019 超高次元データに対する説明変数のスクリーニング手法に関する研究(研究代表者)
  • 2013 - 2016 高次元変動係数モデルにおける変数選択に関する研究(研究代表者)
  • 2012 - 2016 金融工学からERMへ:基礎理論と実証に関する研究(研究分担者)
  • 2012 - Studies on high-dimensional data
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Papers (39)：
  • Toshio Honda. Sparse quantile regression via l_0-penalty. Discussion Paper Series No. 2023-03, Graduate School of Economics, Hitotsubashi University. 2023
  • Toshio Honda, Chien-Tong Lin. Forward variable selection for ultra-high dimensional quantile regression models (jointly worked). Annals of the Institute of Statistical Mathematics. 2023. 75. 3. 393-424
  • Toshio Honda. Statistical inferences on high-dimensional Cox regression models(in Japanese). Journal of the Japan Statistical Society(Japanese Issue). 2023. 52. 2. 113-129
  • Toshio Honda, Chien-Tong LIN. Forward Variable Selection for Sparse Ultra-High Dimensional Generalized Varying Coefficient Models (jointly worked). Japanese Journal of Statistics and Data Science. 2021. 4. 151-179
  • Toshio Honda. The de-biased group Lasso estimation for varying coefficient models. Annals of the Institute of Statistical Mathematics. 2021. 73. 3-29
ｍore...
Books (2)：
  • 『教養としての経済学』4-5-3分担執筆(一橋大学経済学部編)
    有斐閣 2013 ISBN:4641164045
  • 『計量経済学ハンドブック』第3章分担執筆(縄田和満,蓑谷千凰彦,和合肇編) (共著)
    朝倉書店 2007 ISBN:9784254290073
Lectures and oral presentations  (56)：
  • Sparse quantile regression via l_0 penalty
    (2024)
  • Forward variable selection for ultra-high dimensional models
    (EcoSta2023 2023)
  • Statistical Inferences on high-dimensional Cox regression models
    (2022年度統計関連学会連合大会 2022)
  • Forward variable selection for ultra-high dimensional quantile regression models
    (Waseda International Symposium Topological Data Science, Causality, Analysis of Variance & Time Series 2022)
  • Forward variable selection for ultra-high dimensional quantile regression models
    (IASC-ARS 2022 2022)
ｍore...
Education (4)：
  • 1989 - 1992 The University of Tokyo Graduate School, Division of Engineering
  • 1987 - 1989 The University of Tokyo Graduate School, Division of Engineering
  • 1985 - 1987 The University of Tokyo Faculty of Engineering
  • 1983 - 1985 The University of Tokyo
Professional career (2)：
  • 博士(工学) (東京大学)
  • Doctor of Engineering (The University of Tokyo)
Work history (7)：
  • 2011/04 - 現在 The Institute of Statistical Mathematics Visiting Professor
  • 2004/04/01 - 現在 Hitotsubashi University Faculty of Economics Professor
  • 2004/04/01 - 現在 Hitotsubashi University Graduate School of Economics Professor
  • 1999/03/16 - 2004/03/31 University of Tsukuba Institute of Social Sciences Associate Professor
  • 2000/07/01 - 2001/07/31 University of California, Berkeley Department of Statistics Visiting Scholar
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Awards (2)：
  • 2022/05 - The Japan Statistical Society Research Achievement Award
  • 1998/10 - - 統計学研究奨励小川基金会賞
Association Membership(s) (3)：
Institute of Mathematical Statistics ,  Bernoulli Society for Mathematical Statistics and Probability ,  Japan Statistical Society
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