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 (201)：

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
Bai, Z, Choi, K.P, Fujikoshi Y, Hu, J. Asymptotics of AIC, BIC and Cp model selection rules in high-dimensional regression. Bernoulli. 2022. 28. 4. 2375-2403
Yamada T, Sakurai T, Fujikoshi Y. High-dimensional asymptotic results for EPMCs of W- and Z- rules. Comm. Statist.-Theory Meth. 2022. 51. 8. 2385-2413

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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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