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Aoshima Makoto

Researcher's full information

Conference, etc.
  • Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model
    Yata Kazuyoshi; Aoshima Makoto; Ishii Aki
    The 9th International Workshop on Applied Probability/2018-06-18--2018-06-18
  • Regularized PCA for high-dimensional data based on the noise reduction methodology
    Yata Kazuyoshi; Aoshima Makoto
    Fifth Institute of Mathematical Statistics Asia Pacific Rim Meeting/2018-06-26--2018-06-26
  • Regularized noise-reduction methodology for high-dimensional data
    Yata Kazuyoshi; Aoshima Makoto
    10th Conference of the IASC-ARS/68th Annual NZSA Conference/2017-12-13
  • High-dimensional correlation tests with sample size determination
    Yata Kazuyoshi; Aoshima Makoto
    Sixth International Workshop in Sequential Methodologies/2017-06-22
  • High-Dimensional Statistical Analysis by Non-Sparse Modeling
    Aoshima Makoto
    Waseda International Symposium “Recent Developments in Time Series Analysis: Quantile Regression, High Dimensional Data & Causality/2018-02-27
  • 高次元統計解析:理論・方法論とその周辺(日本統計学会賞受賞者記念講演)
    青嶋 誠
    2017年度統計関連学会連合大会/2017-09-05
  • Effective classifiers for high-dimensional non-sparse data
    Yata Kazuyoshi; Aoshima Makoto
    International conference on information complexity and statistical modeling in high dimensions with applications/2016-05-20
  • Inference on high-dimensional covariance structures via the extended cross-data-matrix methodology
    Yata Kazuyoshi; Aoshima Makoto
    Eighth International Workshop on Applied Probability/2016-06-23
  • PCA based clustering for ultrahigh-dimensional data
    Aoshima Makoto; Yata Kazuyoshi
    The 1st International Conference on Econometrics and Statistics/2017-06-15
  • High-dimensional Statistical Analysis for the SSE Model
    Aoshima Makoto
    A Symposium on Complex Data Analysis 2017/2017-05-26
  • High-dimensional statistical analysis based on the inference of eigenstructures
    Aoshima Makoto
    Waseda International Symposium “High Dimensional Statistical Analysis for Time Spatial Processes & Quantile Analysis for Time Series”/2017-02-28
  • Statistical inference in strongly spiked eigenvalue models
    Aoshima Makoto
    International Symposium “Statistical Analysis for Large Complex Data”/2016-11-23
  • Reconstruction of a high-dimensional low-rank matrix and its applications
    Aoshima Makoto
    Waseda International Symposium “High Dimensional Statistical Analysis for Time Spatial Processes, Quantile and Empirical Likelihood Analysis for Time Series”/2016-10-25
  • Inference on High-Dimensional Covariance Structures via the Extended Cross-Data-Matrix Methodology
    Aoshima Makoto
    The Eighth International Workshop on Applied Probability/2016-06-23
  • Effective Classifiers for High-Dimensional Non-Sparse Data
    Aoshima Makoto
    International Conference on Information Complexity and Statistical Modeling in High Dimensions with Applications/2016-05-20
  • 高次元固有空間の推測と高次元統計解析
    Aoshima Makoto
    第11回日本統計学会春季集会/2017-03-05
  • 統計学の話題と研究の可能性
    Aoshima Makoto
    筑波大学CiRfSE ワークショップ/2017-01-24
  • スパイクノイズと高次元統計解析
    Aoshima Makoto
    日本学術振興会科学研究費による研究集会「数理統計ひこね2016」/2016-12-02
  • High-dimensional two-sample tests under strongly spiked eigenvalue models
    Aoshima Makoto
    研究集会「大規模統計モデリングと計算統計III」/2016-09-27
  • 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