YATA Kazuyoshi

Researcher's full information

Articles
  • A survey of high dimension low sample size asymptotics
    Aoshima Makoto; Shen Dan; Shen Haipeng; Yata Kazuyosh...
    AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS/60(1:::SI)/pp.4-19, 2018-03
  • Support vector machine and its bias correction in high-dimension, low-sample-size settings
    Nakayama Yugo; Yata Kazuyoshi; Aoshima Makoto
    JOURNAL OF STATISTICAL PLANNING AND INFERENCE/191/pp.88-100, 2017-12
  • High-dimensional inference on covariance structures via the extended cross-data-matrix methodology
    Yata Kazuyoshi; Aoshima Makoto
    JOURNAL OF MULTIVARIATE ANALYSIS/151/pp.151-166, 2016-10
  • 高次元小標本におけるサポートベクターマシンの一致性について (Statistical Inference on Divergence Measures and Its Related Topics)
    中山 優吾; 矢田 和善; 青嶋 誠
    RIMS Kokyuroku/1999/pp.17-27, 2016-07
  • Estimation of a signal matrix for high-dimensional non-Gaussian data (Statistical Inference on Divergence Measures and Its Related Topics)
    矢田 和善; 青嶋 誠
    RIMS Kokyuroku/1999/pp.36-46, 2016-07
  • Reconstruction of a High-Dimensional Low-Rank Matrix
    Yata Kazuyoshi; Aoshima Makoto
    Electronic Journal of Statistics/10/pp.895-917, 2016-03
  • Reconstruction of a signal matrix for high-dimension, low-sample-size data (New Advances in Statistical Inference and Its Related Topics)
    村山 航; 矢田 和善; 青嶋 誠
    RIMS Kokyuroku/1954/pp.23-31, 2015-06
  • 拡張クロスデータ行列法と共分散行列関数の不偏推定
    矢田 和善; 青嶋 誠
    RIMS Kokyuroku/1954/pp.51-60, 2015-06
  • 高次元小標本における混合データの幾何学的表現とクラスター分析への応用 (Asymptotic Statistics and Its Related Topics)
    矢田 和善; 青嶋 誠
    RIMS Kokyuroku/1910/pp.125-133, 2014-08
  • Effective Methodologies for High-Dimensional Data(Special Topic:The JSS Research Prize Lecture)
    青嶋 誠; 矢田 和善
    日本統計学会誌. シリーズJ/43(1)/pp.123-150, 2013-09
  • Correlation tests for high-dimensional data using extended cross-data-matrix methodology
    Yata Kazuyoshi; Aoshima Makoto
    JOURNAL OF MULTIVARIATE ANALYSIS/117/pp.313-331, 2013-05
  • A distance-based, misclassification rate adjusted classifier for multiclass, high-dimensional data
    Aoshima Makoto; Yata Kazuyoshi
    ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS/66(5)/pp.983-1010, 2014-10
  • Asymptotic normality for inference on multisample, high-dimensional mean vectors under mild conditions
    Aoshima Makoto; Yata Kazuyoshi
    Methodology and Computing in Applied Probability/17(2)/pp.419-439, 2015-06
  • PCA consistency for the power spiked model in high-dimensional settings
    Yata Kazuyoshi; Aoshima Makoto
    JOURNAL OF MULTIVARIATE ANALYSIS/122/pp.334-354, 2013-11
  • 論説: 高次元小標本における統計的推測
    青嶋 誠; 矢田和善
    數學/65(3)/pp.225-247, 2013-07
  • Two-stage equivalence tests that control both size and power
    K. Yata
    Seq. Anal./27/p.185-200, 2008-01
  • Two-stage selection of the best signal-to-noise ratio with related approximations
    M. Aoshima; N. Mukhopadhyay; K. Yata
    Calcutta Statist. Assoc. Bull./61/p.61-86, 2009-01
  • PCA consistency for non-Gaussian data in high dimension, low sample size context
    K. Yata; M. Aoshima
    Commun. Statist.-Theory Meth./38/p.2634-2652, 2009-01
  • 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(0)/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(0)/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
  • more...