ISHII AKI 石井晶

… Alternative Names

Ishii Aki 石井晶

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Researcher Number	20801161
Other IDs
Affiliation (Current)	2025: 東京理科大学, 創域理工学部情報計算科学科, 講師
Affiliation (based on the past Project Information) *help	2023 – 2024: 東京理科大学, 創域理工学部情報計算科学科, 講師 2022: 東京理科大学, 理工学部情報科学科, 嘱託特別講師 2020 – 2021: 東京理科大学, 理工学部情報科学科, 講師 2017 – 2020: 東京理科大学, 理工学部情報科学科, 助教
Review Section/Research Field	Principal Investigator Basic Section 60030:Statistical science-related Except Principal Investigator Medium-sized Section 60:Information science, computer engineering, and related fields / Information science, computer engineering, and related fields
Keywords	Principal Investigator 高次元統計解析 / 高次元データ / スパース性 / 高次元二標本問題 / 高次元多標本問題 / 高次元二標本検定 / スパイク構造 / 幾何学的表現 / 判別分析 / 強スパイク構造 … More / 固有値推定 / 高次元データ解析 / 強スパイク固有値モデル / 高次元統計的推測 / 強スパイク固有値 / 高次元小標本 … More Except Principal Investigator 深層学習 / 高次元統計解析 / 次元の呪い / 巨大データ / データ圧縮 / 高次元小標本 / 時空間データ / 高次元データ / 個別化医療 / クラスタリング / 次世代シーケンサー / 天体スペクトル / 個別化モデリング / 超高次元データ / ディープラーニング / 人工知能 / ビッグデータ / スパイクノイズ / 非スパースモデリング Less

高次元従属標本の強スパイク性による統計的推測の構築Principal Investigator
- Principal Investigator
  
  石井晶
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Tokyo University of Science
Developments of statistical compression technology for massive data having tensor structures
- Principal Investigator
  
  青嶋誠
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Review Section
  
  Medium-sized Section 60:Information science, computer engineering, and related fields
- Research Institution
  University of Tsukuba
Innovative Developments of Theories and Methodologies for Large Complex Data
- Principal Investigator
  
  青嶋誠
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 60:Information science, computer engineering, and related fields
- Research Institution
  University of Tsukuba
Tackling individualized modeling with ultra-high dimensional data
- Principal Investigator
  
  AOSHIMA Makoto
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Review Section
  
  Medium-sized Section 60:Information science, computer engineering, and related fields
- Research Institution
  University of Tsukuba
Statistical inference for high-dimensional data: spiking and sparsityPrincipal Investigator
- Principal Investigator
  
  Ishii Aki
- Project Period (FY)
  2018 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Tokyo University of Science
New developments for big data by non-sparse modeling
- Principal Investigator
  
  AOSHIMA Makoto
- Project Period (FY)
  2017 – 2018
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Research Field
  
  Information science, computer engineering, and related fields
- Research Institution
  University of Tsukuba

All 2024 2023 2022 2021 2020 2019 2018 2017

All Journal Article Presentation

[Journal Article] 強スパイク固有値モデルにおける統計的推測2024
- Author(s)
  石井　晶
- Journal Title
  
  日本統計学会誌
  
  Volume: -
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K18015
[Journal Article] High-dimensional Statistical Analysis and Its Application to an ALMA Map of NGC 2532024
- Author(s)
  Takeuchi Tsutomu T.、Yata Kazuyoshi、Egashira Kento、Aoshima Makoto、Ishii Aki、Cooray Suchetha、Nakanishi Kouichiro、Kohno Kotaro、Kono Kai T.
- Journal Title
  
  The Astrophysical Journal Supplement Series
  
  Volume: 271 Issue: 2 Pages: 44-44
- DOI
  10.3847/1538-4365/ad2517
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K19769, KAKENHI-PROJECT-22K03412, KAKENHI-PROJECT-18K18015, KAKENHI-PROJECT-20H00576
[Journal Article] Statistical hypothesis testing for high-dimension, low-sample-size data2023
- Author(s)
  Aoshima Makoto、Ishii Aki、Yata Kazuyoshi
- Journal Title
  
  American Mathematical Society, Sugaku Expositions
  
  Volume: ー
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K19769
[Journal Article] Statistical hypothesis testing for high-dimension, low-sample-size data2023
- Author(s)
  Aoshima Makoto, Ishii Aki, Yata Kazuyoshi
- Journal Title
  
  American Mathematical Society, Sugaku Expositions
  
  Volume: ー
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20H00576
[Journal Article] Geometric classifiers for high-dimensional noisy data2022
- Author(s)
  Ishii Aki、Yata Kazuyoshi、Aoshima Makoto
- Journal Title
  
  Journal of Multivariate Analysis
  
  Volume: 188 Pages: 104850-104850
- DOI
  10.1016/j.jmva.2021.104850
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K03409, KAKENHI-PROJECT-18K18015, KAKENHI-PROJECT-20K11701, KAKENHI-PROJECT-22K19769, KAKENHI-PROJECT-20H00576, KAKENHI-PROJECT-18H05290
[Journal Article] 論説：高次元小標本における統計的仮説検定2021
- Author(s)
  青嶋　誠、石井　晶、矢田和善
- Journal Title
  
  日本数学会邦文誌「数学」
  
  Volume: 73 Pages: 360-379
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K18015
[Journal Article] 論説：高次元小標本における統計的仮説検定2021
- Author(s)
  青嶋誠、石井晶、矢田和善
- Journal Title
  
  数学
  
  Volume: 73 Pages: 360-379
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H00576
[Journal Article] Hypothesis tests for high-dimensional covariance structures2021
- Author(s)
  Ishii Aki, Yata Kazuyoshi, Aoshima Makoto
- Journal Title
  
  Annals of the Institute of Statistical Mathematics
  
  Volume: in press Issue: 3 Pages: 599-622
- DOI
  10.1007/s10463-020-00760-5
- NAID
  120007168344
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18H05290, KAKENHI-PROJECT-19K22837, KAKENHI-PROJECT-20H00576, KAKENHI-PROJECT-19K11850, KAKENHI-PROJECT-20K11701
[Journal Article] 論説：高次元小標本における統計的仮説検定2021
- Author(s)
  青嶋誠、石井晶、矢田和善
- Journal Title
  
  数学
  
  Volume: 73 Pages: 360-379
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K22837
[Journal Article] A classifier under the strongly spiked eigenvalue model in high-dimension, low-sample-size context2020
- Author(s)
  Ishii Aki
- Journal Title
  
  Communications in Statistics - Theory and Methods
  
  Volume: 49 Issue: 7 Pages: 1561-1577
- DOI
  10.1080/03610926.2018.1528365
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K22837, KAKENHI-PROJECT-18K18015
[Journal Article] Tests for high-dimensional covariance structures under the non-strongly spiked eigenvalue model2020
- Author(s)
  Ishii Aki、Yata Kazuyoshi、Aoshima Makoto
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 2157 Pages: 21-30
- NAID
  120006956689
- Open Access
- Data Source
  KAKENHI-PROJECT-19K22837
[Journal Article] High-dimensional Two-sample Test Procedures under the Strongly Spiked Eigenvalue Model2020
- Author(s)
  石井晶、矢田和善、青嶋誠
- Journal Title
  
  Ouyou toukeigaku
  
  Volume: 49 Issue: 3 Pages: 109-125
- DOI
  10.5023/jappstat.49.109
- NAID
  130008022515
- ISSN
  0285-0370, 1883-8081
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K03409, KAKENHI-PROJECT-19K22837, KAKENHI-PROJECT-18K18015, KAKENHI-PROJECT-20H00576
[Journal Article] Tests for high-dimensional covariance structures under the non-strongly spiked eigenvalue model2020
- Author(s)
  Ishii Aki, Yata Kazuyoshi, Aoshima Makoto
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 2157 Pages: 21-30
- NAID
  120006956689
- Data Source
  KAKENHI-PROJECT-18K18015
[Journal Article] Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model2019
- Author(s)
  A. ishii, K. Yata, M. Aoshima
- Journal Title
  
  Japanese Journal of Statistics and Data Science
  
  Volume: 印刷中 Issue: 1 Pages: 105-128
- DOI
  10.1007/s42081-018-0029-z
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18015, KAKENHI-PROJECT-18H05290, KAKENHI-PROJECT-17K19956, KAKENHI-PROJECT-18K03409, KAKENHI-PROJECT-19K22837, KAKENHI-PROJECT-15H01678
[Journal Article] 強スパイク固有値モデルにおける高次元一標本検定とその応用について2019
- Author(s)
  石井　晶、矢田和善、青嶋　誠
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 2124 Pages: 56-64
- Open Access
- Data Source
  KAKENHI-PROJECT-19K22837
[Journal Article] A classifier under the strongly spiked eigenvalue model in High-dimension, low-sample-size context2019
- Author(s)
  A. ishii
- Journal Title
  
  Communications in Statistics -Theory and Methods
  
  Volume: 印刷中
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18015
[Journal Article] A quadratic classifier for high-dimension, low-sample-size data under the strongly spiked eigenvalue model2019
- Author(s)
  Ishii Aki, Yata Kazuyoshi, Aoshima Makoto
- Journal Title
  
  Springer Proceedings in Mathematics and Statistics
  
  Volume: 294 Pages: 131-142
- DOI
  10.1007/978-3-030-28665-1_10
- ISBN
  9783030286644, 9783030286651
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K03409, KAKENHI-PROJECT-19K22837, KAKENHI-PROJECT-18K18015, KAKENHI-PROJECT-15H01678
[Journal Article] Equality tests of high-dimensional covariance matrices under the strongly spiked eigenvalue model2019
- Author(s)
  Ishii Aki, Yata Kazuyoshi, Aoshima Makoto
- Journal Title
  
  Journal of Statistical Planning and Inference
  
  Volume: 202 Pages: 99-111
- DOI
  10.1016/j.jspi.2019.02.002
- NAID
  120007133560
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K03409, KAKENHI-PROJECT-18H05290, KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-17K19956, KAKENHI-PROJECT-19K22837, KAKENHI-PROJECT-18K18015
[Journal Article] A two-sample test for high-dimension, low-sample-size data under the strongly spiked eigenvalue model2017
- Author(s)
  Ishii, A.
- Journal Title
  
  Hiroshima Mathematical Journal
  
  Volume: 47 Pages: 273-288
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K19956
[Journal Article] A high-dimensional two-sample test for non-Gaussian data under a strongly spiked eigenvalue model2017
- Author(s)
  Ishii, A.
- Journal Title
  
  Journal of the Japan Statistical Society
  
  Volume: 47 Pages: 273-291
- NAID
  130007381676
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] 強スパイク固有値モデルにおける高次元共分散行列の統計的推測2023
- Author(s)
  矢田和善、石井晶、青嶋誠
- Organizer
  2023年度統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Quadratic classifiers for high-dimensional noisy data2023
- Author(s)
  Aki Ishii, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  The 6th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Quadratic classifiers for high-dimensional noisy data2023
- Author(s)
  Aki Ishii, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  The 6th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Estimation of the strongly spiked eigenstructure in high-dimensional settings2023
- Author(s)
  Kazuyoshi Yata, Aki Ishii, Makoto Aoshima
- Organizer
  The 6th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Quadratic classifiers for high-dimensional noisy data2023
- Author(s)
  Aki Ishii, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  The 6th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] 強スパイク固有値モデルにおける高次元共分散行列の統計的推測2023
- Author(s)
  矢田和善, 石井晶, 青嶋誠
- Organizer
  統計関連学会連合大会応用統計学会企画セッション「高次元統計解析の最近の発展」
- Invited
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Estimation of eigenvectors for linear combinations of high-dimensional covariance matrices and its applications2022
- Author(s)
  Kazuyoshi Yata, Aki Ishii, Makoto Aoshima
- Organizer
  The 5th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 強スパイク固有値モデルにおける高次元統計解析2022
- Author(s)
  石井　晶
- Organizer
  2022年度統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Geometric classifiers for high-dimensional noisy data2022
- Author(s)
  Kazuyoshi Yata, Aki Ishii, Makoto Aoshima
- Organizer
  JMVA 50th Jubilee volume follow-up webinar
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] Geometric classifiers for high-dimensional noisy data2022
- Author(s)
  Kazuyoshi Yata, Aki Ishii, Makoto Aoshima
- Organizer
  JMVA 50th Jubilee volume follow-up webinar
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Estimation of eigenvectors for linear combinations of high-dimensional covariance matrices and its applications2022
- Author(s)
  Kazuyoshi Yata, Aki Ishii, Makoto Aoshima
- Organizer
  The 5th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] Estimation of eigenvectors for linear combinations of high-dimensional covariance matrices and its application2022
- Author(s)
  Kazuyoshi Yata, Aki Ishii and Makoto Aoshima
- Organizer
  The 5th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Tests for covariance structures in high-dimensional data2021
- Author(s)
  Kazuyoshi Yata, Aki Ishii and Makoto Aoshima
- Organizer
  The 4th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] High-dimensional classifiers under the strongly spiked eigenvalue model2021
- Author(s)
  Ishii A., Yata K., Aoshima M.
- Organizer
  The 4th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元データにおけるノイズ構造の高精度な解析に基づく統計的推測2021
- Author(s)
  矢田和善、石井晶、青嶋誠
- Organizer
  統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] High-Dimensional Statistical Analysis of the ALMA Spectroscopic Map of a Nearby Galaxy NGC 2532021
- Author(s)
  Takeuchi T、Kono K、Yata K、Aoshima M、Ishii A、Nakanishi K、Egashira K、Cooray S、Kohno K
- Organizer
  Galaxy Evolution Workshop 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] High-dimensional quadratic classifiers under the strongly spiked eigenvalue model2021
- Author(s)
  Ishii A., Yata K., Aoshima M.
- Organizer
  IISA 2021 Conference
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] High-Dimensional Statistical Analysis of ALMA Spectroscopic Mapping Data2021
- Author(s)
  Takeuchi T、Kono K、Nakanishi K、Yata K、Aoshima M、Egashira K、Ishii A
- Organizer
  自然科学研究機構：自然科学研究における機関間連携ネットワークによる拠点形成事業シンポジウム「自然科学における階層と全体」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 高次元データにおけるノイズ構造の高精度な解析に基づく統計的推測2021
- Author(s)
  矢田和善、石井　晶、青嶋　誠
- Organizer
  2021年度統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] 高次元統計学の方法による銀河の分光マップの解析2021
- Author(s)
  竹内努、矢田和善、青嶋誠、石井晶、江頭健斗、河野海、中西康一郎、Suchetha COORAY、河野孝太郎
- Organizer
  科研費シンポジウム「多様な分野における統計科学に関する理論と方法論の革新的展開」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] Analysis of Integral Field Spectroscopic Data as a High-Dimensional Low-Sample Size Data Problem2021
- Author(s)
  竹内努、河野海、中西康一郎、矢田和善、青嶋誠、石井晶
- Organizer
  日本天文学会2021年春季年会
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] High-dimensional quadratic classifiers under the strongly spiked eigenvalue model2021
- Author(s)
  Ishii A., Yata K., Aoshima M.
- Organizer
  IISA 2021 Conference
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 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（応用統計学会学会賞受賞者講演）2021
- Author(s)
  石井晶
- Organizer
  統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 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2021
- Author(s)
  石井　晶、矢田和善、青嶋　誠
- Organizer
  2021年度統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] High-dimensional classifiers under the strongly spiked eigenvalue model2021
- Author(s)
  Ishii A., Yata K., Aoshima M.
- Organizer
  The 4th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 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（応用統計学会学会賞受賞者講演）2021
- Author(s)
  石井晶
- Organizer
  統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] High-dimensional classifiers under the strongly spiked eigenvalue model2021
- Author(s)
  Aki Ishii, Kazuyoshi Yata and Makoto Aoshima
- Organizer
  The 4th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] High-dimensional quadratic classifiers under the strongly spiked eigenvalue model spiked eigenvalue model2021
- Author(s)
  Aki Ishii, Kazuyoshi Yata and Makoto Aoshima
- Organizer
  IISA 2021 Conference
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Tests for covariance structures in high-dimensional data2021
- Author(s)
  Yata K., Ishii A., Aoshima M.
- Organizer
  The 4th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 高次元データにおけるノイズ構造の高精度な解析に基づく統計的推測2021
- Author(s)
  矢田和善、石井晶、青嶋誠
- Organizer
  統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 強スパイク固有値モデルにおける高次元2次判別2021
- Author(s)
  石井　晶、矢田和善、青嶋　誠
- Organizer
  応用統計学会年会2021年年会
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Tests for covariance structures in high-dimensional data2021
- Author(s)
  Yata K., Ishii A., Aoshima M.
- Organizer
  The 4th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元固有ベクトルの検定について2020
- Author(s)
  石井晶、矢田和善、青嶋誠
- Organizer
  日本数学会2020年度秋季総合分科会
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] データ変換を用いた高次元次判別分析について2020
- Author(s)
  石井　晶、矢田和善、青嶋　誠
- Organizer
  日本学術振興会科学研究費による研究集会「多様な高次元モデルにおける理論と方法論，及び，関連分野への応用」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] High-Dimensional Statistics for Integral Field Spectroscopic Data2020
- Author(s)
  Takeuchi T、Kono K、Nakanishi K、Yata K、Aoshima M、Egashira K、Ishii A
- Organizer
  日本学術振興会科学研究費による研究集会「初代星・初代銀河研究会2020」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] Tests of high-dimensional correlation matrices under the strongly spiked eigenvalue model2020
- Author(s)
  石井晶、矢田和善、青嶋誠
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Tests of high-dimensional correlation matrices under the strongly spiked eigenvalue model2020
- Author(s)
  石井晶, 矢田和善, 青嶋誠
- Organizer
  2020年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] データ変換を用いた高次元次判別分析について2020
- Author(s)
  石井　晶、矢田　和善、青嶋　誠
- Organizer
  日本学術振興会科学研究費によるシンポジウム「多様な高次元モデルにおける理論と方法論，及び，関連分野への応用」
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Analysis of Spatially Resolved Galaxy Spectra as a High-Dimensional Low-Sample Size Data Problem2020
- Author(s)
  竹内努、河野海、中西康一郎、矢田和善，青嶋誠、石井晶、江頭健斗
- Organizer
  日本学術振興会科学研究費による研究集会「大規模複雑データの理論と方法論：最前線の動向と新たな展開」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] Tests of high-dimensional correlation matrices under the strongly spiked eigenvalue model2020
- Author(s)
  石井晶、矢田和善、青嶋誠
- Organizer
  2020年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 高次元固有ベクトルの検定について2020
- Author(s)
  石井晶、矢田和善、青嶋誠
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元固有ベクトルの検定について2020
- Author(s)
  石井晶, 矢田和善, 青嶋誠
- Organizer
  日本数学会2020年度秋季総合分科会
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] 高次元データに対する共分散構造の検定2020
- Author(s)
  石井　晶、矢田　和善、青嶋　誠
- Organizer
  京都大学数理解析研究所RIMS研究集会
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Tests for high-dimensiomal covariance structures under the SSE model2019
- Author(s)
  Ishii Aki、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  International Symposium on Theories and Methodologies for Large Complex Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 単一強スパイク固有値モデルに対する高次元平均ベクトルの2標本検定2019
- Author(s)
  石井　晶、矢田和善、青嶋　誠
- Organizer
  日本学術振興会科学研究費による研究集会「統計的推測および確率解析に関する総合的研究」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 単一強スパイク固有値モデルに対する高次元平均ベクトルの2標本検定2019
- Author(s)
  石井　晶、矢田　和善、青嶋　誠
- Organizer
  日本学術振興会科学研究費によるシンポジウム「統計的推測および確率解析に関する総合的研究」
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Inference on mean vectors for high-dimensional data with the strongly spiked eigenstructure2019
- Author(s)
  Aki Ishii, Kazuyoshi Yata and Makoto Aoshima
- Organizer
  The 3rd International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] 単一強スパイク固有値モデルにおける高次元二標本検定2019
- Author(s)
  石井　晶、矢田　和善、青嶋　誠
- Organizer
  日本数学会2019年度秋季総合分科会
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] 単一強スパイク固有値モデルにおける高次元二標本検定2019
- Author(s)
  石井　晶、矢田和善、青嶋　誠
- Organizer
  日本数学会2019年度秋季総合分科会
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] Tests of high-dimensional correlation matrices on the basis of eigenstructures2019
- Author(s)
  Aki Ishii, Kazuyoshi Yata and Makoto Aoshima
- Organizer
  The 7th International Workshop in Sequential Methodologies
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Geometrical quadratic discriminant analysis for high-dimension, strongly spiked eigenvalue models2019
- Author(s)
  矢田和善、石井　晶、青嶋　誠
- Organizer
  日本学術振興会科学研究費による研究集会「高次元複雑データの統計モデリング」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] A high-dimensional quadratic classifier under the strongly spiked eigenvalue model2019
- Author(s)
  Yata Kazuyoshi、Ishii Aki、Aoshima Makoto
- Organizer
  The 14th Workshop on Stochastic Models, Statistics and their Application
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] Geometrical quadratic discriminant analysis for high-dimension, strongly spiked eigenvalue models2019
- Author(s)
  矢田　和善、石井　晶、青嶋　誠
- Organizer
  日本学術振興会科学研究費によるシンポジウム「高次元複雑データの統計モデリング」
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Tests of High-Dimensional Mean Vectors and Its Application Under the SSE Model2019
- Author(s)
  Aki Ishii、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  Waseda International Symposium ``Introduction of General Causality to Various Data & its Applications"
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] Inference on mean vectors for high-dimensional data with the strongly spiked eigenstructure2019
- Author(s)
  Ishii Aki、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  The 3rd International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] Tests of high-dimensional mean vectors under the SSE model2019
- Author(s)
  Ishii, A., Yata, K., Aoshima, M.
- Organizer
  Waseda International Symposium“Introduction of General Causality to Various Data & its Applications”
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Tests for high-dimensional covariance structures based on eigenstructures2019
- Author(s)
  Ishii Aki、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  2019年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 強スパイク固有値モデルにおける固有空間の推測と高次元平均ベクトルの検定2019
- Author(s)
  石井　晶、矢田　和善、青嶋　誠
- Organizer
  京都大学数理解析研究所RIMS研究集会
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] データ変換を用いた高次元2次判別方式について2019
- Author(s)
  矢田和善、石井　晶、青嶋　誠
- Organizer
  2019年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 強スパイク固有値モデルにおける高次元統計的推測2019
- Author(s)
  石井晶
- Organizer
  日本数学会2019年度年会
- Invited
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] 強スパイク固有値モデルにおける高次元統計的推測（日本数学会特別講演）2019
- Author(s)
  石井　晶
- Organizer
  日本数学会2019年度年会
- Invited
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Tests for high-dimensiomal covariance structures under the SSE model2019
- Author(s)
  Aki Ishii, Kazuyoshi Yata and Makoto Aoshima
- Organizer
  日本学術振興会科学研究費によるシンポジウム「International Symposium on Theories and Methodologies for Large Complex Data」
- Invited
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Tests of high-dimensional correlation matrices on the basis of eigenstructures2019
- Author(s)
  Ishii Aki、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  The 7th International Workshop in Sequential Methodologies
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] Tests for high-dimensional covariance structures based on eigenstructures2019
- Author(s)
  Aki Ishii, Kazuyoshi Yata and Makoto Aoshima
- Organizer
  2019年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Tests of high-dimensional mean vectors under the SSE model2018
- Author(s)
  Ishii, A., Yata, K., Aoshima, M.
- Organizer
  International Symposium on Statistical Theory and Methodology for Large Complex Data
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Equality tests of high-dimensional covariance matrices on the basis of strongly spiked eigenvalues2018
- Author(s)
  Aki Ishii、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  Waseda International Symposium ``Introduction of General Causality to Various Data & Its Innovation of The Optimal Inference"
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] Strongly spiked eigenvalue モデルにおける高次元相関ベクトルの検定について2018
- Author(s)
  石井　晶、矢田　和善、青嶋　誠
- Organizer
  日本数学会2018年度秋季総合分科会
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Equality tests of high-dimensional covariance matrices with strongly spiked eigenstructures2018
- Author(s)
  Ishii, A., Yata, K., Aoshima, M.
- Organizer
  The 2nd International Conference on Econometrics and Statistics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Inference on High-Dimensional Mean Vectors Under the Strongly Spiked Eigenvalue Model2018
- Author(s)
  Yata, K., Aoshima, M., Ishii, A.
- Organizer
  9-th International Workshop on Applied Probability
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] A quadratic classifier for high-dimensional data under the strongly spiked eigenvalue model2018
- Author(s)
  Ishii, A., Yata, K., Aoshima, M.
- Organizer
  2018年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Tests of high-dimensional mean vectors under the SSE model2018
- Author(s)
  Aki Ishii、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  International Symposium on Statistical Theory and Methodology for Large Complex Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] Tests for high-dimensional covariance matrices and correlation matrices under the strongly spiked eigenvalue model2018
- Author(s)
  石井　晶、矢田　和善、青嶋　誠
- Organizer
  日本学術振興会科学研究費によるシンポジウム「融合する統計科学」
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] Equality tests for high-dimensional covariance matrices2018
- Author(s)
  Aki Ishii、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  The 27th South Taiwan Statistics Conference
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] Equality tests for high-dimensional covariance matrices2018
- Author(s)
  Ishii, A., Yata, K., Aoshima, M.
- Organizer
  The 27th South Taiwan Statistical Conference (27th STSC)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18015
[Presentation] ノイズ掃き出し法を用いた高次元共分散行列の同等性検定2018
- Author(s)
  石井　晶，矢田和善，青嶋　誠
- Organizer
  日本数学会2018年度年会
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] 高次元データにおける固有空間の構造に基づいた共分散行列の同等性検定2017
- Author(s)
  石井　晶，矢田和善，青嶋　誠
- Organizer
  日本数学会2017年度秋季総合分科会
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] Equality tests of covariance matrices based on eigenstructures in the highdimensional context2017
- Author(s)
  石井　晶，矢田和善，青嶋　誠
- Organizer
  日本学術振興会科学研究費による研究集会「大規模複雑データの理論と方法論，及び，関連分野への応用」
- Invited
- Data Source
  KAKENHI-PROJECT-17K19956

1. AOSHIMA Makoto (90246679)

# of Collaborated Projects: 4 results

# of Collaborated Products: 54 results
2. 矢田和善 (90585803)

# of Collaborated Projects: 4 results

# of Collaborated Products: 53 results
3. 赤平昌文 (70017424)

# of Collaborated Projects: 3 results

# of Collaborated Products: 0 results
4. 星野伸明 (00313627)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 塩濱敬之 (40361844)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 鈴木大慈 (60551372)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 江頭健斗 (20979869)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
8. 荒木由布子 (80403913)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. 川野秀一 (50611448)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. 蛭川潤一 (10386617)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
11. 松田安昌 (10301590)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
12. 田畑耕治 (30453814)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
13. 片山翔太 (50742459)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
14. 中山優吾 (40884169)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
15. 植木優夫 (10515860)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
16. 小森理 (60586379)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
17. 金森敬文 (60334546)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
18. 松井秀俊 (90633305)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

ISHII AKI 石井 晶

Ishii Aki 石井 晶

Research Projects

Research Products

Co-Researchers

高次元従属標本の強スパイク性による統計的推測の構築Principal Investigator

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Developments of statistical compression technology for massive data having tensor structures

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Innovative Developments of Theories and Methodologies for Large Complex Data

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Tackling individualized modeling with ultra-high dimensional data

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Statistical inference for high-dimensional data: spiking and sparsityPrincipal Investigator

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New developments for big data by non-sparse modeling

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[Journal Article] 強スパイク固有値モデルにおける統計的推測2024

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[Journal Article] High-dimensional Statistical Analysis and Its Application to an ALMA Map of NGC 2532024

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[Journal Article] Statistical hypothesis testing for high-dimension, low-sample-size data2023

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[Journal Article] Statistical hypothesis testing for high-dimension, low-sample-size data2023

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[Journal Article] Geometric classifiers for high-dimensional noisy data2022

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[Journal Article] 論説：高次元小標本における統計的仮説検定2021

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[Journal Article] 論説：高次元小標本における統計的仮説検定2021

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[Journal Article] Hypothesis tests for high-dimensional covariance structures2021

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NAID

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[Journal Article] 論説：高次元小標本における統計的仮説検定2021

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ISHII AKI 石井晶

Ishii Aki 石井晶