Aoshima Makoto

Researcher's full information

Conference, etc.
  • Reconstruction of a high-dimensional low-rank matrix
    Yata Kazuyoshi; Aoshima Makoto
    2016年度統計関連学会連合大会/2016-09-07
  • High-Dimensional Quadratic Classifiers in Non-Sparse Settings under Heteroscedasticity
    Aoshima Makoto
    ISNPS Meeting “Biosciences, Medicine, and novel Non-Parametric Methods”/2015-07-15
  • 高次元の統計学(再び)
    Aoshima Makoto
    「統計数理および金融数理研究」セミナー/2016-04-25
  • Inference on high-dimensional covariance structures with fewer observations than the dimension
    Yata Kazuyoshi; Aoshima Makoto
    Waseda International Symposium “High Dimensional Statistical Analysis for Time Spatial Processes & Quantile Analysis for Time Series”/2016-03-01
  • Two-sample tests of high-dimensional means under the strongly spiked eigenvalue model
    Yata Kazuyoshi; Aoshima Makoto
    Waseda International Symposium "High Dimensional Statistical Analysis for Spatio-Temporal Processes & Quantile Analysis for Time Series"/2015-11-10
  • PCA consistency for high-dimensional multiclass mixture models and its applications
    Yata Kazuyoshi; Aoshima Makoto
    ISNPS Meeting “Biosciences, Medicine, and novel Non-Parametric Methods”/2015-07-13
  • Two-Sample Tests of High-Dimensional Means Under the Strongly Spiked Eigenvalue Model
    Aoshima Makoto
    Waseda International Symposium “High Dimensional Statistical Analysis for Time Spatial Processes and Quantile Analysis for Time Series”/2015-11-10
  • High-dimensional classification in non-sparse settings
    Aoshima Makoto
    Kumamoto International Symposium “High Dimensional Statistical Analysis and Quantile Analysis for Time Series”/2016-03-04
  • Statistical Methods for Heterogeneous Data
    Aoshima Makoto
    ISNPS Meeting “Biosciences, Medicine, and novel Non-Parametric Methods”/2015-07-15
  • High-Dimensional Quadratic Classifiers in Non-Sparse Settings under Heteroscedasticity
    Aoshima Makoto
    ISNPS Meeting “Biosciences, Medicine, and novel Non-Parametric Methods”/2015-07-15
  • 高次元の統計学
    青嶋 誠
    日本数学会2016年度年会市民講演会/2016-03-19
  • 非スパース性と高次元データの分類
    青嶋 誠
    第18回情報論的学習理論ワークショップ/2015-11-25
  • 高次元データに対する特徴選択を用いた2次判別法について
    矢田 和善; 青嶋 誠
    統計関連学会連合大会/2014-09-14
  • 高次元混合分布におけるPCA とその応用
    矢田 和善; 青嶋 誠
    日本数学会秋季総合分科会/2014-09-28
  • 高次元データにおける拡張クロスデータ行列法の漸近的性質とその応用について
    矢田 和善; 青嶋 誠
    日本数学会年度会/2015-03-24
  • Quadratic-type classifications for non-Gaussian, high-dimensional data
    Makoto Aoshima; Kazuyoshi Yata
    Second International Society of NonParametric Statistics/2014-06-13--2014-06-13
  • 高次元小標本の統計学
    青嶋 誠
    統計数理研究所共同研究集会「統計サマーセミナー2010」/2010-08-02
  • Quadratic-Type Classifications for High-Dimensional Data
    Aoshima Makoto; Yata Kazuyoshi
    The 3rd IMS Asia Pacific Rim Meeting/2014-07
  • Principal component analysis based clustering for high-dimension, low-sample-size data
    矢田和善; 青嶋 誠
    第9 回日本統計学会春季集会/2015-03-08
  • 高次元データの分類–判別分析とクラスター分析の諸問題と高次元現象
    青嶋 誠
    The Applied Statistics Workshop/2014-12-19
  • Two-Stage Inference Methods for Large P, Small N Scenarios: Part II
    Aoshima Makoto
    Fifth International Workshop in Applied Probability/2010-07
  • Effective Classification for High-Dimension, Non-Gaussian Data and Sample Size Determination
    Aoshima Makoto
    Third International Workshop in Sequential Methodologies/2011-06
  • Effective Methodologies for High-Dimensional Statistical Inference
    Aoshima Makoto
    Joint Meeting of the 2011 Taipei International Statistical Symposium and 7th Conference of the Asian Regional Section of the IASC/2011-12
  • Discussion on Professor Shelemyahu Zacks' Talk
    Aoshima Makoto
    Sixth International Workshop on Applied Probability/2012-06
  • Misclassification Rate Adjusted Classifier for Multiclass, High-Dimensional Data
    Aoshima Makoto
    Sixth International Workshop on Applied Probability/2012-06
  • more...