青嶋 誠

論説：高次元小標本における統計的仮説検定 

数学 73 2021年  査読有り  招待有り

A quadratic classifier for high-dimension, low-sample-size data under the strongly spiked eigenvalue model 

Stochastic Models, Statistics and Their Applications, Proceedings of the 14th Workshop on Stochastic Models, Statistics and their Application 131 - 142 2019年  査読有り

Equality tests of high-dimensional covariance matrices under the strongly spiked eigenvalue model 

Journal of Statistical Planning and Inference 202 99 - 111 2019年  査読有り

Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model 

Japanese Journal of Statistics and Data Science 2 105 - 128 2019年  査読有り

Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models 

Annals of the Institute of Statistical Mathematics 71 473 - 503 2019年  査読有り

高次元統計解析: 理論と方法論の新しい展開（日本統計学会賞受賞者特別寄稿論文） 

日本統計学会誌 48(1) 89 - 111 2018年  査読有り  招待有り

Statistical inference for high-dimension, low-sample-size data 

American Mathematical Society, Sugaku Expositions 30 137 - 158 2017年  査読有り  招待有り