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Yata Kazuyoshi

Researcher's full information

Articles
  • Effective two-stage estimation for a linear function of high-dimensional Gaussian means
    K. Yata
    Seq. Anal./29/p.463-482, 2010-01
  • Effective methodologies for statistical inference on microarray studies
    M. Aoshima; K.Yata; +矢田 和善
    Prostate Cancer-From Bench to Bedside/pp.13-32, 2011-01
  • Authors' response to discussions of ``Two-stage procedures for high-dimensional data"
    M. Aoshima; K.Yata; +矢田 和善
    Seq. Anal./30/p.432-440, 2011-01
  • Two-stage procedures for high-dimensional data (Editor's special invited paper)
    M. Aoshima; K. Yata
    Seq. Anal./30/p.356-399, 2011-01
  • Note on classification for high-dimensional data (A New Perspective to Statistical Models and Its Related Topics)
    永橋 幸大; 矢田 和善; 青嶋 誠
    RIMS Kokyuroku/1804/pp.40-52, 2012-08
  • Asymptotic properties of a distance-based classifier for high-dimensional data (A New Perspective to Statistical Models and Its Related Topics)
    矢田 和善; 青嶋 誠
    RIMS Kokyuroku/1804/pp.53-64, 2012-08
  • Inference on High-Dimensional Mean Vectors with Fewer Observations Than the Dimension
    Yata Kazuyoshi; Aoshima Makoto
    METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY/14(3)/pp.459-476, 2012-09
  • 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
  • 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/pp.136-149, 2011-08
  • 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/pp.150-159, 2011-08
  • 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
    RIMS Kokyuroku/1560/pp.80-101, 2007-06
  • Note on Estimating the Intrinsic Dimension of High Dimension, Low Sample Size Data (Statistical Analysis of Various Models)
    矢田 和善; 青嶋 誠
    RIMS Kokyuroku/1603/pp.130-141, 2008-06
  • 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
    RIMS Kokyuroku/1621/pp.112-129, 2009-01
  • Note on robust estimation and model selection in a contaminated mixture model (Statistical Experiment and Its Related Topics)
    小林 裕子; 矢田 和善; 青嶋 誠
    RIMS Kokyuroku/1703/pp.159-179, 2010-08
  • Effective Methodologies for High-dimension, Low Sample Size Data (Statistical Experiment and Its Related Topics)
    矢田 和善
    RIMS Kokyuroku/1703/pp.180-194, 2010-08
  • 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