Himeno Tetsuto 姫野哲人

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HIMENO Tetsuto 姫野哲人

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Researcher Number	40452734
Other IDs
Affiliation (Current)	2025: 滋賀大学, データサイエンス学系, 准教授
Affiliation (based on the past Project Information) *help	2017 – 2019: 滋賀大学, データサイエンス学部, 准教授 2016: 滋賀大学, データサイエンス教育研究センター, 准教授
Review Section/Research Field	Principal Investigator Statistical science
Keywords	Principal Investigator データサイエンス / 統計科学 / 情報学基礎 / ノンパラメトリック / 高次元データ / 漸近理論

Research Projects
(1 results)
Research Products
(7 results)

Development of nonparametric methods with large sample sizes and high-dimensionPrincipal Investigator
- Principal Investigator
  
  HIMENO Tetsuto
- Project Period (FY)
  2016 – 2019
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Statistical science
- Research Institution
  Shiga University

All 2019 2017 2016

All Journal Article Presentation

[Journal Article] Estimation of multivariate 3rd moment for high-dimensional data and its application for testing multivariate normality2019
- Author(s)
  Yamada Takayuki、Himeno Tetsuto
- Journal Title
  
  Computational Statistics
  
  Volume: 34 Issue: 2 Pages: 911-941
- DOI
  10.1007/s00180-018-00865-9
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K16018
[Journal Article] Interval estimation in discriminant analysis for large dimension2017
- Author(s)
  Yamada Takayuki、Himeno Tetsuto、Sakurai Tetsuro
- Journal Title
  
  Communications in Statistics - Theory and Methods
  
  Volume: 46 Issue: 18 Pages: 9042-9052
- DOI
  10.1080/03610926.2016.1202282
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K16018, KAKENHI-PROJECT-26800088
[Journal Article] Asymptotic cut-off point in linear discriminant rule to adjust the misclassification probability for large dimension2017
- Author(s)
  Yamada Takayuki、Himeno Tetsuto、Sakurai Tetsuro
- Journal Title
  
  Hiroshima Mathematical Journal
  
  Volume: 47 Pages: 319-348
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16K16018
[Presentation] 一般化した分布の下での高次元MANOVA問題2017
- Author(s)
  姫野哲人、山田隆行
- Organizer
  2017年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-16K16018
[Presentation] 高次元データに対する検定手法の開発2017
- Author(s)
  姫野哲人
- Organizer
  統計サマーセミナー2017
- Data Source
  KAKENHI-PROJECT-16K16018
[Presentation] 高次元データに対する 3 次モーメントを使った正規性の診断2016
- Author(s)
  山田隆行、姫野哲人
- Organizer
  第30回日本計算機統計学会シンポジウム
- Place of Presentation
  プラサヴェルデ（静岡県）
- Year and Date
  2016-11-24
- Data Source
  KAKENHI-PROJECT-16K16018
[Presentation] Asymptotic cut-off point in linear discriminant rule which adjusts misclassification probabilitywhen the dimension is relatively large compared to the sample sizes2016
- Author(s)
  Takayuki Yamada, Tetsuto Himeno, Tetsuro Sakurai
- Organizer
  2016 International Conference for JSCS 30th Anniversary in Seattle
- Place of Presentation
  Seattle Central Library
- Year and Date
  2016-10-16
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K16018

Himeno Tetsuto 姫野 哲人

HIMENO Tetsuto 姫野 哲人

Research Projects

Research Products

Development of nonparametric methods with large sample sizes and high-dimensionPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Estimation of multivariate 3rd moment for high-dimensional data and its application for testing multivariate normality2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Interval estimation in discriminant analysis for large dimension2017

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Asymptotic cut-off point in linear discriminant rule to adjust the misclassification probability for large dimension2017

Author(s)

Journal Title

Data Source

[Presentation] 一般化した分布の下での高次元MANOVA問題2017

Author(s)

Organizer

Data Source

[Presentation] 高次元データに対する検定手法の開発2017

Author(s)

Organizer

Data Source

[Presentation] 高次元データに対する 3 次モーメントを使った正規性の診断2016

Author(s)

Organizer

Place of Presentation

Year and Date

Data Source

[Presentation] Asymptotic cut-off point in linear discriminant rule which adjusts misclassification probabilitywhen the dimension is relatively large compared to the sample sizes2016

Author(s)

Organizer

Place of Presentation

Year and Date

Data Source

Himeno Tetsuto 姫野哲人

HIMENO Tetsuto 姫野哲人