Effective Methodologies for High-dimension, Low Sample Size Data (Statistical Experiment and Its Related Topics)
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- Effective Methodologies for High-dimension, Low Sample Size Data (Statistical Experiment and Its Related Topics)
- Note on robust estimation and model selection in a contaminated mixture model (Statistical Experiment and Its Related Topics)
- Effective methodologies for high-dimension, low sample size data (Statistical experiment and its related topics--RIMS共同研究報告集)
- Note on robust estimation and model selection in a contaminated mixture model (Statistical experiment and its related topics--RIMS共同研究報告集)
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- Note on estimating the intrinsic dimension of high dimension, low sample size data (種々のモデルの統計的解析--RIMS共同研究報告集)
- Asymptotic Second-Order Consistency For Fixed-Size Estimation and Its Applications(Statistical Decision for Multiple Comparison and Its Related Topics)
- 高次元小標本における平均ベクトルの推測とその周辺 (推測における統計的情報とそれに関連する話題)
- Note on robust model selection by density power divergence in a contaminated regression model (Statistical Information in Inference and Its Related Topics)
- Note on robust model selection by density power divergence in a contaminated regression model (推測における統計的情報とそれに関連する話題--RIMS共同研究報告集)
- 高次元小標本における平均ベクトルの推測とその周辺 (推測における統計的情報とそれに関連する話題--RIMS共同研究報告集)
- Note on classification for high-dimensional data (A New Perspective to Statistical Models and Its Related Topics)
- Asymptotic properties of a distance-based classifier for high-dimensional data (A New Perspective to Statistical Models and Its Related Topics)
- 高次元小標本における平均ベクトルの推測とその周辺 (推測における統計的情報とそれに関連する話題--RIMS共同研究報告集)
- 高次元データの統計的方法論(日本統計学会研究業績賞受賞者特別寄稿論文)
- On the Distribution of the Largest Eigenvalue in High Dimension, Low Sample Size Context (Asymptotic Expansions for Various Models and Their Related Topics)