Aoshima Makoto

Researcher's full information

Conference, etc.
  • Non-Sparse Modeling for High-Dimensional Data
    Aoshima Makoto
    Waseda International Symposium “Introduction of General Causality to Various Data & its Applications”/2019-02-25
  • New Techniques in High-Dimensional Statistical Analysis: SSE vs. NSSE and Data Transformation
    Aoshima Makoto
    2018 Workshop on High-Dimensional Statistical Analysis/2018-12-10
  • High-Dimensional Statistical Analysis: Non-Sparse Modeling, Geometric Representations and New PCAs
    Aoshima Makoto
    2018Workshop on High-Dimensional Statistical Analysis/2018-12-10
  • A high-dimensional quadratic classifier after feature selection
    Yata Kazuyoshi; Aoshima Makoto
    International Symposium on Statistical Theory and Methodology for Large Complex Data/2018-11-26
  • Tests of high-dimensional mean vectors under the SSE model
    Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
    International Symposium on Statistical Theory and Methodology for Large Complex Data/2018-11-26
  • Equality tests of high-dimensional covariance matrices on the basis of strongly spiked eigenvalues
    Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
    Waseda International Symposium “Introduction of General Causality to Various Data & Its Innovation of The Optimal Inference”/2018-10-24
  • New techniques in high-dimensional statistical analysis
    Aoshima Makoto
    Waseda International Symposium “Introduction of General Causality to Various Data & Its Innovation of The Optimal Inference”/2018-10-23
  • High-dimensional statistical analysis: Spiked models and data transformation
    Aoshima Makoto
    The 2nd International Conference on Econometrics and Statistics/2018-06-21
  • High-dimensional statistical analysis under spiked models
    Aoshima Makoto
    The Fourth Conference of the International Society for Nonparametric Statistics/2018-06-13
  • A high-dimensional quadratic classifier under the strongly spiked eigenvalue model
    Yata Kazuyoshi; Ishii Aki; Aoshima Makoto
    The 14th Workshop on Stochastic Models, Statistics and their Application/2019-03-06--2019-03-06
  • Equality tests for high-dimensional covariance matrices
    Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
    The 27th South Taiwan Statistics Conference/2018-06-30--2018-06-30
  • Consistency properties of regularized noise reduction methodology in high-dimensional settings
    Yata Kazuyoshi; Aoshima Makoto
    The 4th International Society of NonParametric Statistics Conference/2018-06-13--2018-06-13
  • 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
  • more...