Hirano Toshihiro 平野敏弘

Researcher Number	10816010
Other IDs
Affiliation (Current)	2025: 関東学院大学, 経済学部, 准教授
Affiliation (based on the past Project Information) *help	2021 – 2024: 関東学院大学, 経済学部, 准教授 2018 – 2020: 関東学院大学, 経済学部, 講師
Review Section/Research Field	Principal Investigator Basic Section 07030:Economic statistics-related
Keywords	Principal Investigator 空間統計学 / データサイエンス / 大規模時空間データ / カルマンフィルタ / 状態空間モデル / 時空間データ / 多重解像度近似 / 大規模空間データ / 確率場 / リモートセンシング … More / クリギング / 時空間統計 / 地理空間情報 / 並列計算 / 多変量時空間データ / テンソル補完 Less

Research Projects
(3 results)
Research Products
(19 results)

大規模時空間データに対する多重構造を用いた高速統計解析手法の開発Principal Investigator
- Principal Investigator
  
  平野敏弘
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 07030:Economic statistics-related
- Research Institution
  Kanto Gakuin University
Fast statistical analysis for large spatial datasets with temporal informationPrincipal Investigator
- Principal Investigator
  
  Hirano Toshihiro
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 07030:Economic statistics-related
- Research Institution
  Kanto Gakuin University
Efficient statistical analysis for large spatial datasetsPrincipal Investigator
- Principal Investigator
  
  Hirano Toshihiro
- Project Period (FY)
  2018 – 2020
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 07030:Economic statistics-related
- Research Institution
  Kanto Gakuin University

All 2023 2022 2021 2020 2019 2018

All Journal Article Presentation Book

[Book] Geostatistics and Gaussian process models. In Y. Yamagata and H. Seya (Eds.), Spatial Analysis Using Big Data: Methods and Urban Applications.2020
- Author(s)
  Murakami, D., Yamagata, Y., and Hirano, T.
- Total Pages
  56
- Publisher
  Academic Press
- ISBN
  9780128131275
- Data Source
  KAKENHI-PROJECT-18K12755
[Journal Article] 非正規確率場におけるCovariance Taperingを用いた最良線形不偏予測量の漸近有効性2022
- Author(s)
  平野敏弘
- Journal Title
  
  経済系
  
  Volume: 285 Pages: 38-46
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K13273
[Journal Article] Efficient Bayesian tensor completion for multivariate spatio-temporal data2020
- Author(s)
  Hirano, T.
- Journal Title
  
  経済系
  
  Volume: 279 Pages: 60-69
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K12755
[Journal Article] A multi-resolution approximation via linear projection for large spatial datasets2020
- Author(s)
  Hirano Toshihiro
- Journal Title
  
  Japanese Journal of Statistics and Data Science
  
  Volume: - Issue: 1 Pages: 215-256
- DOI
  10.1007/s42081-020-00092-x
- NAID
  210000164426
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K12755, KAKENHI-PROJECT-21K13273
[Presentation] Multi-resolution filters via linear projection for large spatio-temporal datasets2023
- Author(s)
  Toshihiro Hirano
- Organizer
  ISM Symposium on Environmental Statistics 2023
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K13273
[Presentation] 非線形・非ガウス状態空間モデルに基づく大規模時空間データに対する高速フィルタリング2023
- Author(s)
  平野敏弘
- Organizer
  2023年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-21K13273
[Presentation] Multi-resolution filters via linear projection for large spatio-temporal datasets2023
- Author(s)
  Toshihiro Hirano
- Organizer
  Spatial Statistics 2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K13273
[Presentation] 大規模時空間データに対するLinear Projectionを用いた多重解像フィルタ2022
- Author(s)
  平野　敏弘
- Organizer
  2022年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-21K13273
[Presentation] A multi-resolution approximation by linear projection and covariance tapering for large spatial datasets2022
- Author(s)
  Toshihiro Hirano
- Organizer
  The 15th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2022)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K13273
[Presentation] A multi-resolution approximation via linear projection for large spatial datasets2021
- Author(s)
  Toshihiro Hirano
- Organizer
  The 14th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K13273
[Presentation] A multi-resolution approximation via linear projection for large spatial datasets2021
- Author(s)
  Toshihiro Hirano
- Organizer
  The XV World Conference of the Spatial Econometrics Association (SEA 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K13273
[Presentation] Covariance TaperingとLinear Projectionを用いた多重解像度近似について2021
- Author(s)
  平野敏弘
- Organizer
  2021年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-21K13273
[Presentation] A multi-resolution approximation via linear projection for large spatial datasets2020
- Author(s)
  平野　敏弘
- Organizer
  科研費シンポジウム "Recent Progress in Spatial and/or Spatio-temporal Data Analysis"
- Data Source
  KAKENHI-PROJECT-18K12755
[Presentation] A Multi-Resolution Approximation via Linear Projection for Large Spatial Datasets2019
- Author(s)
  Hirano, T.
- Organizer
  Spatial Statistics 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K12755
[Presentation] 大規模空間データに対する Linear Projection を用いた多重解像度近似2019
- Author(s)
  平野　敏弘
- Organizer
  CSIS DAYS 2019「全国共同利用研究発表大会」
- Data Source
  KAKENHI-PROJECT-18K12755
[Presentation] 大規模空間データに対する Linear Projection を用いた多重解像度近似2019
- Author(s)
  平野　敏弘
- Organizer
  経営と法セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-18K12755
[Presentation] Linear Projectionによる多重解像度近似を用いた大規模空間データに対する予測について2019
- Author(s)
  平野　敏弘
- Organizer
  2019年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K12755
[Presentation] 多変量時空間データに対するベイズ的テンソル補完2019
- Author(s)
  平野　敏弘
- Organizer
  テクノメトリクス研究会
- Data Source
  KAKENHI-PROJECT-18K12755
[Presentation] 大規模空間データに対するLinear Projectionを用いた多重解像度近似2018
- Author(s)
  平野　敏弘
- Organizer
  2018年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K12755

Hirano Toshihiro 平野 敏弘

Research Projects

Research Products

大規模時空間データに対する多重構造を用いた高速統計解析手法の開発Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Fast statistical analysis for large spatial datasets with temporal informationPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Efficient statistical analysis for large spatial datasetsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Book] Geostatistics and Gaussian process models. In Y. Yamagata and H. Seya (Eds.), Spatial Analysis Using Big Data: Methods and Urban Applications.2020

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Journal Article] 非正規確率場におけるCovariance Taperingを用いた最良線形不偏予測量の漸近有効性2022

Author(s)

Journal Title

Data Source

[Journal Article] Efficient Bayesian tensor completion for multivariate spatio-temporal data2020

Author(s)

Journal Title

Data Source

[Journal Article] A multi-resolution approximation via linear projection for large spatial datasets2020

Author(s)

Journal Title

DOI

NAID

Data Source

[Presentation] Multi-resolution filters via linear projection for large spatio-temporal datasets2023

Author(s)

Organizer

Data Source

[Presentation] 非線形・非ガウス状態空間モデルに基づく大規模時空間データに対する高速フィルタリング2023

Author(s)

Organizer

Data Source

[Presentation] Multi-resolution filters via linear projection for large spatio-temporal datasets2023

Author(s)

Organizer

Data Source

[Presentation] 大規模時空間データに対するLinear Projectionを用いた多重解像フィルタ2022

Author(s)

Organizer

Data Source

[Presentation] A multi-resolution approximation by linear projection and covariance tapering for large spatial datasets2022

Author(s)

Organizer

Data Source

[Presentation] A multi-resolution approximation via linear projection for large spatial datasets2021

Author(s)

Organizer

Data Source

[Presentation] A multi-resolution approximation via linear projection for large spatial datasets2021

Author(s)

Organizer

Data Source

[Presentation] Covariance TaperingとLinear Projectionを用いた多重解像度近似について2021

Author(s)

Organizer

Data Source

[Presentation] A multi-resolution approximation via linear projection for large spatial datasets2020

Author(s)

Organizer

Data Source

[Presentation] A Multi-Resolution Approximation via Linear Projection for Large Spatial Datasets2019

Author(s)

Organizer

Hirano Toshihiro 平野敏弘