矢田 和善(ヤタ カズヨシ)
- 所属
- 数理物質系
- 職名
- 教授
- 研究キーワード
高次元統計解析 高次元小標本データ 高次元統計的推測 高次元判別分析 高次元主成分分析 高次元クラスター分析 パスウェイ解析 機械学習 多変量解析 逐次解析 - 研究課題
非線形特徴量に基づく新たな高次元統計理論の開発とその応用 2022 -- 2025 矢田 和善 日本学術振興会/基盤研究(C) 4,030,000円 高次元データにおける高次漸近理論の開拓とその応用 2018-04 -- 2022-03 矢田 和善 日本学術振興会/ 高次元漸近理論の統一的研究 2014 -- 2017 矢田 和善 日本学術振興会/若手研究(B) 3,640,000円 高次元小標本の理論的体系の構築 2012 -- 2013 日本学術振興会/若手研究(B) 2,080,000円 高次元データの理論と方法論の総合的研究 2010 -- 2014 日本学術振興会/基盤研究(B) 高速で頑健かつ高精度な多変量統計手法の新展開 2011 -- 2013 日本学術振興会/挑戦的萌芽研究 - 職歴
2016-05 -- (現在) 筑波大学准教授 2010-04 -- 2016-04 筑波大学助教 - 取得学位
2010-03 理学(博士) 筑波大学 - 所属学協会
2009 -- (現在) 日本数学会 2009 -- (現在) 日本統計学会 - 受賞
2023-02 2022年度 BEST FACULTY MEMBER (筑波大学) 2019-06 Abraham Wald Prize in Sequential Analysis 2019 2012-09-10 日本統計学会研究業績賞 2012-06-13 Abraham Wald Prize in Sequential Analysis 2012 - 論文
- Noise Reduced Common PCA for High-Dimensional, Low-Sample Size Multi-View Data
Hasegawa Hiroki; Kawamura Homura; Shin Ryota; Yata Ka...
Proceedings of the 6th International Conference on Statistics: Theory and Applications, 2024-8 - Automatic Sparse PCA for High-Dimensional Data
Yata Kazuyoshi; Aoshima Makoto
Statistica Sinica, 2025 - Test for High-Dimensional Outliers with Principal Component Analysis
Nakayama Yugo; Yata Kazuyoshi; Aoshima Makoto
Japanese Journal of Statistics and Data Science/Epub, 2024 - High Dimensional Statistical Analysis and its Application to an ALMA Map of NGC 253
Takeuchi Tsutomu T.; Yata Kazuyoshi; Egashira Kento; A...
The Astrophysical Journal Supplement Series/271(2)/p.44, 2024 - Asymptotic Properties of Hierarchical Clustering in High-Dimensional Settings
Egashira Kento; Yata Kazuyoshi; Aoshima Makoto
Journal of Multivariate Analysis/199/p.105251, 2024 - 階層的クラスタリングの高次元漸近的性質について
江頭健斗; 矢田 和善; 青嶋誠
数理解析研究所講究録/2221/pp.30-37, 2022-06 - Consistency of the objective general index in high-dimensional settings
Takuma Bando; Tomonari Sei; Yata Kazuyoshi
Journal of Multivariate Analysis/189, 2022-05 - 論説：高次元小標本における統計的仮説検定
青嶋 誠; 石井 晶; 矢田和善
数学/73/pp.360-379, 2021 - Geometric classifiers for high-dimensional noisy data (Editor's invited paper)
Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
Special Issue: 50th Anniversary Jubilee Edition, Journal of Multivariate Analysis/188(SI)/p.104850, 2022 - Clustering by principal component analysis with Gaussian kernel in high-dimension, low-sample-size settings
Nakayama Yugo; Yata Kazuyoshi; Aoshima Makoto
JOURNAL OF MULTIVARIATE ANALYSIS/185/p.104779, 2021-09 - Asymptotic properties of distance-weighted discrimination and its bias correction for high-dimension, low-sample-size data
Egashira Kento; Yata Kazuyoshi; Aoshima Makoto
JAPANESE JOURNAL OF STATISTICS AND DATA SCIENCE/4/pp.821-840, 2021-08 - Hypothesis tests for high-dimensional covariance structures
Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
Annals of the Institute of Statistical Mathematics/73/pp.599-622, 2021-06 - Tests for high-dimensional covariance structures under the non-strongly spiked eigenvalue model
Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
数理解析研究所講究録/(2157)/pp.21-30, 2020 - High-dimensional covariance matrix estimation under the SSE model
Konishi Keisuke; Yata Kazuyoshi; Aoshima Makoto
数理解析研究所講究録/(2157)/pp.11-20, 2020 - 高次元におけるDistanceWeighted Discriminationについて
江頭健斗; 矢田和善; 青嶋誠
数理解析研究所講究録/(2157)/pp.1-10, 2020 - 単一強スパイク固有値モデルにおける高次元平均ベクトルの2標本検定
石井晶; 矢田和善; 青嶋誠
応用統計学/49/pp.109-125, 2020 - Bias-corrected support vector machine with Gaussian kernel in high-dimension, low-sample-size settings
Nakayama Yugo; Yata Kazuyoshi; Aoshima Makoto
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS/72(5)/pp.1257-1286, 2020 - A quadratic classifier for high-dimension, low-sample-size data under the strongly spiked eigenvalue model
Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
Proceedings of the 14th Workshop on Stochastic Models, Statistics and their Application/pp.131-142, 2019-10 - High-Dimensional Quadratic Classifiers in Non-sparse Settings
Aoshima Makoto; Yata Kazuyoshi
METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY/21(3:::SI)/pp.663-682, 2019-09 - Inference on High-Dimensional Mean Vectors under the Strongly Spiked Eigenvalue Model
Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
Japanese Journal of Statistics and Data Science/2(1)/pp.105-128, 2019-06 - Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models
Aoshima Makoto; Yata Kazuyoshi
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS/71(3)/pp.473-503, 2019-06 - Equality tests of high-dimensional covariance matrices under the strongly spiked eigenvalue model
Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
JOURNAL OF STATISTICAL PLANNING AND INFERENCE/202/pp.99-111, 2019-09 - A test of sphericity for high-dimensional data and its application for detection of divergently spiked noise
Yata Kazuyoshi; Aoshima Makoto; Nakayama Yugo
SEQUENTIAL ANALYSIS-DESIGN METHODS AND APPLICATIONS/37(3)/pp.397-411, 2018 - Two-sample tests for high-dimension, strongly spiked eigenvalue models
Aoshima Makoto; Yata Kazuyoshi
Statistica Sinica/28(1)/pp.43-62, 2018 - Statistical inference for high-dimension, low-sample-size data
Aoshima Makoto; Yata Kazuyoshi
American Mathematical Society, Sugaku Expositions/30/pp.137-158, 2017 - さらに表示...
- Noise Reduced Common PCA for High-Dimensional, Low-Sample Size Multi-View Data
- 著書
- 高次元の統計学
青嶋 誠; 矢田 和善
共立出版, 2019-04
- 高次元の統計学
- 会議発表等
- Asymptotic properties of kernel k-means for high dimensional data
EGASHIRA Kento; YATA Kazuyoshi; AOSHIMA Makoto
International Symposium on Recent Advances in Theories and Methodologies for Large Complex Data/2023-12-07 - Inference on high-dimensional mean vectors by the data transformation technique
YATA Kazuyoshi; AOSHIMA Makoto
IMS Asia Pacific Rim Meeting 2024/2024-01-07 - Asymptotic properties of kernel k-means under high dimensional settings
EGASHIRA Kento; YATA Kazuyoshi; AOSHIMA Makoto
IMS Asia Pacific Rim Meeting 2024/2024-01-07 - Quadratic classifiers for high-dimensional noisy data
ISHII Aki; YATA Kazuyoshi; AOSHIMA Makoto
The 6th International Conference on Econometrics and Statistics/2023-08-02 - Estimation of the strongly spiked eigenstructure in high-dimensional settings
矢田 和善; ISHII Aki; AOSHIMA Makoto
The 6th International Conference on Econometrics and Statistics/2023-08-01 - Asymptotic behaviors of k-means under high dimensional settings
EGASHIRA Kento; YATA Kazuyoshi; AOSHIMA Makoto
The 6th International Conference on Econometrics and Statistics/2023-08-01 - Contrastive principal component analysis in high dimension low sample size
S.-H. Wang; 矢田 和善
The 6th International Conference on Econometrics and Statistics/2023-08-01 - Asymptotic behaviors of hierarchical clustering under high dimensional settings
Egashira Kento; Yata Kazuyoshi; Aoshima Makoto
The 5th International Conference on Econometrics and Statistics/2022-06-04 - Test for outlier detection by high-dimensional PCA
Nakayama Yugo; Yata Kazuyoshi; Aoshima Makoto
The 5th International Conference on Econometrics and Statistics/2022-06-05 - Estimation of eigenvectors for linear combinations of high-dimensional covariance matrices and its application
Yata Kazuyoshi; Ishii Aki; Aoshima Makoto
The 5th International Conference on Econometrics and Statistics/2022-06-05 - 強スパイク固有値モデルにおける高次元統計的推測
矢田 和善
応用統計学会年会特別講演/2022-05-12 - Asymptotic properties of high-dimensional kernel PCA and its applications
Nakayama Yugo; Yata Kazuyoshi; Aoshima Makoto
International Symposium on New Developments of Theories and Methodologies for Large Complex Data/2021-11-06 - Sparse PCA for high-dimensional data based on the noise-reduction methodology and its application
Yata Kazuyoshi; Aoshima Makoto
The 63rd ISI World Statistics Congress/2021-07-14 - Tests for covariance structures in high-dimensional data
Yata Kazuyoshi; Ishii Aki; Aoshima Makoto
The 4th International Conference on Econometrics and Statistics/2021-06-26 - Clustering by kernel PCA with Gaussian kernel and tuning for high-dimensional data
Nakayama Yugo; Yata Kazuyoshi; Aoshima Makoto
The 4th International Conference on Econometrics and Statistics/2021-06-26 - High-dimensional classifiers under the strongly spiked eigenvalue model
Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
The 4th International Conference on Econometrics and Statistics/2021-06-25 - High-dimensional quadratic classifiers under the strongly spiked eigenvalue model
Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
IISA 2021 Conference/2021-05-21 - 高次元スパースPCAの一致性とその応用
矢田 和善; 青嶋 誠
統計関連学会連合大会/2020-09-10--2020-09-10 - Tests of high-dimensional correlation matrices under the strongly spiked eigenvalue model
石井 晶; 矢田 和善; 青嶋 誠
統計関連学会連合大会/2020-09-10--2020-09-10 - 高次元データにおける距離加重判別分析の漸近的性質とバイアス補正
江頭 健斗; 矢田 和善; 青嶋 誠
統計関連学会連合大会/2020-09-11--2020-09-11 - 高次元小標本における異常値の検出
中山 優吾; 矢田 和善; 青嶋 誠
統計関連学会連合大会/2020-09-10--2020-09-10 - Clustering by kernel principal component analysis for high-dimensional data
中山 優吾; 矢田 和善; 青嶋 誠
日本数学会秋季総合分科会/2020-09-24--2020-09-24 - 高次元固有ベクトルの検定について
石井 晶; 矢田 和善; 青嶋 誠
日本数学会秋季総合分科会/2020-09-24--2020-09-24 - 距離加重判別分析の高次元漸近的性質
江頭 健斗; 矢田 和善; 青嶋 誠
日本数学会年度年会/2021-03-16--2021-03-16 - 高次元におけるカーネル主成分分析の漸近的性質と異常値の検出への応用
中山 優吾; 矢田 和善; 青嶋 誠
日本数学会年度年会/2021-03-16--2021-03-16 - さらに表示...
- Asymptotic properties of kernel k-means for high dimensional data
- 担当授業科目
2024-04 -- 2024-08 情報数学特別研究VA 筑波大学 2024-04 -- 2024-08 情報数学特別研究IIIA 筑波大学 2024-10 -- 2025-02 情報数学特別研究IVB 筑波大学 2024-10 -- 2025-02 情報数学特別研究IIA 筑波大学 2024-10 -- 2025-02 情報数学特別研究IA 筑波大学 2024-10 -- 2025-02 情報数学特別研究VA 筑波大学 2024-04 -- 2024-08 情報数学特別研究IIB 筑波大学 2024-10 -- 2025-02 情報数学特別研究IVB 筑波大学 2024-04 -- 2024-08 数学セミナー 筑波大学 2024-10 -- 2025-02 数学セミナー 筑波大学 さらに表示... - 一般講演
- Effective PCA for large p, small n context with sample size determination
kazuyoshi Yata
Third International Workshop in Sequential Methodologies 2011/2011-06-15 - 高次元小標本における統計的推測
矢田和善
日本数学会秋季総合分科会特別講演/2011-09-30
- Effective PCA for large p, small n context with sample size determination
- 学協会等委員
2022-11 -- (現在) Institute of Mathematical Statistics Institute of Mathematical Statistics Asia Pacific Rim Meeting Scientific Committee 2021-09 -- (現在) Journal of Multivariate Analysis Journal of Multivariate Analysis Associate Editor 2018-03 -- (現在) Sequential Analysis Sequential Analysis Associate Editor 2018-01 -- (現在) Japanese Journal of Statistics and Data Science Japanese Journal of Statistics and Data Science Associate Editor 2021-10 -- 2022-06 International Conference on Econometrics and Statistics International Conference on Econometrics and Statistics Scientific Committee 2018-05 -- 2022-04 応用統計学会 応用統計学会 学会誌 編集委員 2017-06 -- 2017-12 日本統計学会 日本統計学会欧文誌 編集委員 2017-04 -- 2021-03 日本数学会 日本数学会統計数学分科会(統計関連分野) 運営委員 2015-07 -- 2017-06 日本数学会 日本数学会『数学』 常任編集委員 - その他の活動
2021 -- (現在) 数研出版 高校教科書「数学シリーズ」 （大島利雄、加藤文元、川中宣明、逆井卓也、坪井俊、 服部哲弥、深谷賢治、矢田和善、他6名 著）の執筆
(最終更新日: 2024-09-18)