矢田 和善(ヤタ カズヨシ)

研究者情報全体を表示

論文

• Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations
  Yata Kazuyoshi; Aoshima Makoto
  JOURNAL OF MULTIVARIATE ANALYSIS/105(1)/pp.193-215, 2012-02
  
  Tsukuba Repository
• 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)
  矢田 和善
  数理解析研究所講究録/1758(0)/pp.136-149, 2011-08
  
  CiNii
• Note on robust model selection by density power divergence in a contaminated regression model (Statistical Information in Inference and Its Related Topics)
  矢田 和善; 青嶋 誠; 小林 裕子
  数理解析研究所講究録/1758(0)/pp.150-159, 2011-08
  
  CiNii
• Asymptotic Second-Order Consistency For Fixed-Size Estimation and Its Applications(Statistical Decision for Multiple Comparison and Its Related Topics)
  矢田 和善; 青嶋 誠
  数理解析研究所講究録/1560(0)/pp.80-101, 2007-06
  
  CiNii
• 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)
  矢田 和善; 青嶋 誠
  数理解析研究所講究録/1603(0)/pp.130-141, 2008-06
  
  CiNii
• 高次元小標本における固有値の推定とその応用 (統計的推測へのベイズ的アプローチとそれに関連する話題)
  矢田 和善; 青嶋 誠
  数理解析研究所講究録/1621(0)/pp.112-129, 2009-01
  
  CiNii
• 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)
  小林 裕子; 矢田 和善; 青嶋 誠
  数理解析研究所講究録/1703(0)/pp.159-179, 2010-08
  
  CiNii
• Effective methodologies for high-dimension, low sample size data (Statistical experiment and its related topics--RIMS共同研究報告集)
  矢田 和善
  数理解析研究所講究録/1703(0)/pp.180-194, 2010-08
  
  CiNii
• Double shrink methodologies to determine the sample size via covariance structures
  Yata Kazuyoshi; Aoshima Makoto
  JOURNAL OF STATISTICAL PLANNING AND INFERENCE/139(2)/pp.81-99, 2009-02
• PCA Consistency for Non-Gaussian Data in High Dimension, Low Sample Size Context
  Yata Kazuyoshi; Aoshima Makoto
  COMMUNICATIONS IN STATISTICS-THEORY AND METHODS/38(16-17)/pp.2634-2652, 2009-01
• Asymptotic second-order consistency for two-stage estimation methodologies and its applications
  Aoshima Makoto; Yata Kazuyoshi
  ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS/62(3)/pp.571-600, 2010-06
• Intrinsic Dimensionality Estimation of High-Dimension, Low Sample Size Data with D-Asymptotics
  Yata Kazuyoshi; Aoshima Makoto
  COMMUNICATIONS IN STATISTICS-THEORY AND METHODS/39(8-9)/pp.1511-1521, 2010-01
• Effective PCA for high-dimension, low-sample-size data with singular value decomposition of cross data matrix
  Yata Kazuyoshi; Aoshima Makoto
  JOURNAL OF MULTIVARIATE ANALYSIS/101(9)/pp.2060-2077, 2010-10