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. 京都大学数理解析研究所講究録. 2018. 2091. 22-30
石井 晶. Asymptotic Properties of the First Principal Component (New Advances in Statistical Inference and Its Related Topics). 数理解析研究所講究録. 2015. 1954. 44-50
石井 晶, 矢田和善, 青嶋 誠. Largest egenvalue etimation for hgh-dmension, low-sample-size data and its application. 京都大学数理解析研究所講究録. 2014. 1910. 115-124