Research theme for competitive and other funds (4)：
2020 - 2025 Innovative Developments of Theories and Methodologies for Large Complex Data
2019 - 2022 Tackling individualized modeling with ultra-high dimensional data
2018 - 2022 高次元データの統計的推測:スパイク性とスパース性
2017 - 2019 New developments for big data by non-sparse modeling
Papers (7)：
ISHII Aki, YATA Kazuyoshi, AOSHIMA Makoto. Geometric classifiers for high-dimensional noisy data. Special Issue: 50th Anniversary Jubilee Edition, Journal of Multivariate Analysis. 2022. 188. 104850
Aki Ishii, Kazuyoshi Yata, Makoto Aoshima. Hypothesis tests for high-dimensional covariance structures. Annals of the Institute of Statistical Mathematics. 2020
ISHII Aki, YATA Kazuyoshi, AOSHIMA Makoto. An equality test of high-dimensional covariance matrices under the SSE model. Res. Inst. Math. Sci., Kyoto University. 2018. 2091. 22-30
Ishii Aki. Asymptotic Properties of the First Principal Component (New Advances in Statistical Inference and Its Related Topics). RIMS Kokyuroku. 2015. 1954. 44-50
ISHII Aki, YATA Kazuyoshi, AOSHIMA Makoto. Largest egenvalue etimation for hgh-dmension, low-sample-size data and its application. Res. Inst. Math. Sci., Kyoto University. 2014. 1910. 115-124
Education (3)：
2014 - 2017 University of Tsukuba Graduate School of Pure and Applied Sciences Mathmatics Doctoral Degree
2012 - 2014 University of Tsukuba Graduate School of Pure and Applied Sciences Mathmatics Master Degree
2008 - 2012 University of Tsukuba
Work history (2)：
2021/04 - 現在 Tokyo University of Science Faculty of Science and Technology Information Science Junior Associate Professor
2017/04 - 2021/03 Tokyo University of Science Faculty of Science and Technology Information Science Assistant Professor
Awards (5)：
2022/09 - Japan Statistical Society 2022 Ogawa Prize
JAPANESE SOCIETY OF COMPUTATIONAL STATISTICS
, JAPANESE SOCIETY OF APPLIED STATISTICS
, THE MATHEMATICAL SOCIETY OF JAPAN
, THE JAPAN STATISTICAL SOCIETY
