Yasunori Fujikoshi

フジコシヤスノリ | Yasunori Fujikoshi

Affiliation and department：

Research field (3)： Applied mathematics and statistics , Basic mathematics , Statistical science

Research keywords (10)： high dimensional multivariate regression analysis , high dimensional discriminant analysis , model selection , random matrix theory , asymptotic expansion , error bound , dimensionality reduction method , repeated measures data , missing values , hypergeometric function of matrix argument

Research theme for competitive and other funds (28)：

2016 - 2021 Statistical Analysis of High-Dimensional Data
2016 - 2020 Multivariate varying coefficient model and its application to physical state data of minke whale in the northeast Atlantic Ocean
2009 - 2011 Statistical Inference for High-Dimensional Data and Its Applications
2009 - 2009 高次元リサンプリング法の統計的基礎と応用
2005 - 2008 A Study on Developing a Curriculum System for Statistics Education According to the International Standard in the Information Age

2003 - 2005 Study on the theories and the applications of multivariate simultaneous statistical issues

2002 - 2004 A development of some systematic method of constructing statistical design of experiments and its application

2000 - 2001 Study on Random-Effects Models for Repeated Measures Data

2000 - 2001 integrated research with the theory applications of statistics

1998 - 2001 Researches on the Non-Regular Inference Theory and the Concepts of the Amounts of Information

1999 - 2000 Study of semiparametic multiple regression using SIR-PPR algorithm

1999 - 2000 Denoising of time series data based on Bayes models using wavelets

1997 - 1999 Study on Theory of Nonlinear Statistical Models and Its Applications

1997 - 1998 Study of Model Selection in Regression Analysis for Repeated Measurements

1996 - 1998 A STUDY OF PREDICTING HUMAN PHYSICAL GROWTH AND JUVENILE DISEASES WITH AGING

1995 - 1998 Applied Geometry

1997 - 1997 Unified theory for analysis in designs and its applications

1996 - 1996 Unified theory for analysis in designs and its applications

1995 - 1996 Theory of statistical inference in the case where there are order restrictions on parameters

1995 - 1996 Development of Computer Software for Analyzing Growth Curve Date.

1993 - 1995 Research on Standardization of Mathematical Terms

1991 - 1993 Theory and Applications of Statical Inference for Economic Time Series

1988 - 1989 Visualization-system of spatio-temporal patterns in natural sciences

1988 - 1989 Long-memory time series; its foundations and applications to economics.

1987 - 1987 偶然現象とカオス的現象の数学的解析

1986 - 1986 多様体のトポロジーと種々の構造

1986 - 1986 経済時系列における因果性検定の理論的基礎と応用

1985 - 1986 Analysis of Time Series Data: Theory and its Applications

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Papers (203)：

Sakurai T, Fujikoshi Y, Yamada T. Consistent model selection methods using Wald statistics and estimation of selection probability. Hiroshima Statistical Research Group Technical Report. 2024. TR-24-5. 1-45
Yamada T, Sakurai T, Fujikoshi Y. A fast and consistent variable selection method for conditional independence under large-dimensional Gaussian case. Hiroshima Statistical Research Group Technical Report. 2024. TR-24-4. 1-28
Ang, G. T, Bai, Z, Choi, K. P, Fujikoshi Y, Hu, J. Exact and approximate computation of critical values of the largest root test in high dimension. Commun. Stat.-Simul. Comput. 2023. 52. 5. 2177-2193
Bai, Z, Choi, K. P, Fujikoshi Y, Hu, J. KOO approach for scaleable variable selection problem in large-dimensional regression. Hiroshima Statistical Research Group Technical Report. 2023. TR-23-4. 1-37
Fujikoshi Y, Sakurai T. High-dimensional consistencies of KOO methods for selection of variables in multivariate linear regression models with covariance structures. Mathematics. 2023. 11. 3. 671-671

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MISC (9)：

Fujikoshi Y. Statistics and Truth - C. R. Rao. In “C. R. Rao (1920-) celebrates his 101st birthday”. Notices of the American Mathematical Society. 2022. 69. 987-988
Fujikoshi Y. Book Review: "Analysis of Multivariate and High-Dimensional Data" by Inge Koch. Math. Reviews. 2016
Fujikoshi Y. Okamoto’s contributions to discriminant analysis and recent development (in Japanese). Bulletin of International Society for Mathematical Sciences. 2008. 56. 5-13
Fujikoshi Y. Keep in mind my teacher’s principle (in Japanese). In Childhood Heart - Retrospect of Yamamoto Sumiyasu. 2000. 110-113
Fujikoshi, Y, Sugiyama, T. Sugiura’s work in statistics. The Collected Papers of Nariaki Sugiura: 1962-1997. 1997. 741-752

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Books (22)：

Statistical Data Science - using R · Python (in Japanese).
Bensei Publication 2020 ISBN:9784585240112
Non-Asymptotic Analysis of Approximations for Multivariate Statistics
Springer 2020 ISBN:9789811326158
Analysis of Multivariate Data (in Japanese)
Asakura Publishing Co., Ltd. 2014 ISBN:9784254128017
Model Selection for Multivariate Data (in Japanese)
Asakura Publishing Co., Ltd. 2012 ISBN:9784254128048
Discriminant Analysis of Qualitative Data - Quantification Method Type II (in Japanese)
Gendai-Sugakusha 2011 ISBN:9784768704141

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Education (2)：

- 1966 Hiroshima University Master of Science, Mathematics
- 1964 Hiroshima University Faculty of Science Bachelor of Science, Mathematics

Professional career (1)：

Doctor of Science (Hiroshima University)

Work history (14)：

2005/04 - 現在 Hiroshima University
2017/04 - 2021/03 Hiroshima University Graduate School of Science Researcher
2014/07 - 2017/03 Hiroshima University Hiroshima University Statistical Science Research Core Researcher
2012/04 - 2013/03 Hiroshima Institute of Technology Faculty of Health and Life Science Project Professor
2005/04 - 2012/03 Chuo University Graduate School of Science and Engineering Visiting Professor

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Awards (9)：

2023 - The Mathematical Society of Japan The 2023 MSJ (The Mathematical Society of Japan) Analysis Prize Studies on theory of model selection in high-dimensional statistics
2022 - 2022 Orders of the Sacred Treasure, Gold Rays with Neck Ribbon
2015 - Award for Excellence in Academic Activities, Northeast Normal University
2013 - 2013 Publication Prize, The Japan Statistical Society for the book “Multivariate Statistics: High-Dimensional and Large-Sample Approximations” by FujikoshiY., Ulyanov, V. V. and Shimizu R. (2010), Wiley, Hobeken, N. J.
2006 - 2006 Jacob Wolfowitz Prize for the joint paper “Bias corrections of some criteria for selecting multivariate linear models in a general nonnormal case” by Fujikoshi Y., Wakaki H. and Yanagihara H. Amer. J. Math. Manage. Sci., 25(2005), 221-258.

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