UMEZU Yuuta 梅津佑太

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UMEZU Yuta 梅津佑太

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Researcher Number	60793049
Affiliation (Current)	2026: 長崎大学, 総合生産科学研究科(情報データ科学系), 准教授
Affiliation (based on the past Project Information) *help	2024: 長崎大学, 総合生産科学研究科(情報データ科学系), 准教授 2020 – 2023: 長崎大学, 情報データ科学部, 准教授 2018 – 2019: 名古屋工業大学, 工学(系)研究科(研究院), 助教
Review Section/Research Field	Principal Investigator Basic Section 60030:Statistical science-related
Keywords	Principal Investigator スパース正則化法 / post-selection inference / 加法モデル / カーネル法 / 一般化線形モデル / 正則化法 / LAD回帰 / 周辺モデル / スクリーニング / 超高次元データ … More / 変数選択 / 探索的データ解析 / 多変量解析 / 統計数学 / パターンマイニング / 逆強化学習 / 仮説検定 / 教師あり学習 / 教師なし学習 / 高次元漸近理論 / selective inference / モデル選択 Less

Model Selection for Ultra-high Dimensional and Non-linear DataPrincipal Investigator
- Principal Investigator
  
  Umezu Yuta
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Nagasaki University
Statistical inference in exploratory data analysis and its applicationPrincipal Investigator
- Principal Investigator
  
  UMEZU Yuta
- Project Period (FY)
  2018 – 2020
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Nagasaki University
  Nagoya Institute of Technology

All 2025 2024 2023 2022 2021 2020 2019 2018

All Journal Article Presentation Book

[Book] スパース回帰分析とパターン認識2020
- Author(s)
  梅津佑太, 西井龍映, 上田勇祐
- Total Pages
  208
- Publisher
  講談社サイエンティフィク
- ISBN
  9784065186206
- Data Source
  KAKENHI-PROJECT-18K18010
[Book] 大規模計算時代の統計推論2020
- Author(s)
  Bradley Efron、Trevor Hastie、藤澤洋徳、井手剛、井尻善久、井手剛、牛久祥孝、梅津佑太、大塚琢馬、尾林慶一、川野秀一、田栗正隆、竹内孝、橋本敦史、藤澤洋徳、矢野恵佑
- Total Pages
  600
- Publisher
  共立出版
- ISBN
  9784320114340
- Data Source
  KAKENHI-PROJECT-18K18010
[Journal Article] Selective inference for high-order interaction features selected in a stepwise manner2021
- Author(s)
  Shinya Suzumura, Kazuya Nakagawa, Yuta Umezu, Koji Tsuda, Ichiro Takeuchi
- Journal Title
  
  IPSJ Transactions on Bioinformatics
  
  Volume: 14 Issue: 0 Pages: 1-11
- DOI
  10.2197/ipsjtbio.14.1
- NAID
  130007985966
- Peer Reviewed
- Data Source
  KAKENHI-PLANNED-16H06538, KAKENHI-PROJECT-20H00601, KAKENHI-PROJECT-18K18010
[Journal Article] Variable selection in multivariate linear models for functional data via sparse regularization2020
- Author(s)
  Hidetoshi Matsui, Yuta Umezu
- Journal Title
  
  Japanese Journal of Statistics and Data Science
  
  Volume: - Issue: 2 Pages: 453-467
- DOI
  10.1007/s42081-019-00055-x
- NAID
  210000179793
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K11858, KAKENHI-PROJECT-16H02790, KAKENHI-PROJECT-18K18010, KAKENHI-PROJECT-20H00576
[Journal Article] A novel sensitive detection method for DNA methylation in circulating free DNA of pancreatic cancer2020
- Author(s)
  Shinjo K, Hara K, Nagae G, Umeda T, Katsushima K, Suzuki M, Murofushi Y, Umezu Y, Takeuchi I, Takahashi S, Okuno Y, Matsuo K, Ito H, Tajima S, Aburatani H, Yamao K, Kondo Y.
- Journal Title
  
  PLoS One
  
  Volume: 15 Issue: 6 Pages: 0233782-0233782
- DOI
  10.1371/journal.pone.0233782
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K07486, KAKENHI-PROJECT-20K20598, KAKENHI-PROJECT-18K07963, KAKENHI-PROJECT-18K18010
[Journal Article] Selective inference via marginal screening for high dimensional classification2019
- Author(s)
  Yuta Umezu, Ichiro Takeuchi
- Journal Title
  
  Japanese Journal of Statistics and Data Science
  
  Volume: 2 Issue: 2 Pages: 559-589
- DOI
  10.1007/s42081-019-00058-8
- NAID
  210000171950
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K18010, KAKENHI-PROJECT-17H00758
[Journal Article] AIC for the non-concave penalized likelihood method2019
- Author(s)
  Umezu Yuta、Shimizu Yusuke、Masuda Hiroki、Ninomiya Yoshiyuki
- Journal Title
  
  Annals of the Institute of Statistical Mathematics
  
  Volume: 71 Issue: 2 Pages: 247-274
- DOI
  10.1007/s10463-018-0649-x
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K00050, KAKENHI-PROJECT-18K18010
[Journal Article] Efficient Learning Algorithm for Sparse SubSequence Pattern-based Classication and Applications to Comparative Animal Trajectory Data Analysis2019
- Author(s)
  Takuto Sakuma, Kazuya Nishi, Kaoru Kishimoto, Kazuya Nakagawa, Masayuki Karasuyama, Yuta Umezu, Shinsuke Kajioka, Shuhei J. Yamazaki, Koutarou D. Kimura, Sakiko Matsumoto, Ken Yoda, Matasaburo Fukutomi, Hisashi Shidara, Hiroto Ogawa, Ichiro Takeuchi
- Journal Title
  
  Advanced Robotics
  
  Volume: 33 Issue: 3-4 Pages: 134-152
- DOI
  10.1080/01691864.2019.1571438
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18010, KAKENHI-INTERNATIONAL-16K21735, KAKENHI-ORGANIZER-16H06535, KAKENHI-PLANNED-16H06538, KAKENHI-PLANNED-16H06544, KAKENHI-PROJECT-17H04694, KAKENHI-PROJECT-17J04782, KAKENHI-PLANNED-16H06545
[Journal Article] Can AI predict animal movements? Filling gaps in animal trajectories using inverse reinforcement learning2018
- Author(s)
  Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi, Yuta Umezu, Ichiro Takeuchi, Sakiko Matsumoto, Ken Yoda
- Journal Title
  
  Ecosphere
  
  Volume: 9 Issue: 10 Pages: 1-24
- DOI
  10.1002/ecs2.2447
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18010, KAKENHI-INTERNATIONAL-16K21735, KAKENHI-ORGANIZER-16H06535, KAKENHI-PLANNED-16H06538, KAKENHI-PLANNED-16H06540, KAKENHI-PLANNED-16H06541, KAKENHI-PROJECT-16H01769
[Journal Article] Post Selection Inference with Kernels2018
- Author(s)
  Makoto Yamada, Yuta Umezu, Kenji Fukumizu, Ichiro Takeuchi
- Journal Title
  
  Proceedings of Machine Learning Research
  
  Volume: 84 Pages: 152-160
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18010
[Presentation] モデル選択後の統計的推測2025
- Author(s)
  梅津佑太
- Organizer
  Doshisha DSRC講演会
- Invited
- Data Source
  KAKENHI-PROJECT-21K17715
[Presentation] On the marginal screening under the least absolute deviation regression models2024
- Author(s)
  Yuta Umezu
- Organizer
  研究集会「高次元データ解析・スパース推定法・モデル選択手法の開発と融合」
- Invited
- Data Source
  KAKENHI-PROJECT-21K17715
[Presentation] 高次元データに対するモデル選択2024
- Author(s)
  梅津佑太
- Organizer
  応用統計学会年会
- Invited
- Data Source
  KAKENHI-PROJECT-21K17715
[Presentation] スパース周辺回帰モデルに基づくスクリーニング法2023
- Author(s)
  梅津佑太
- Organizer
  研究集会「多変量統計学・統計的モデル選択の新展開」
- Data Source
  KAKENHI-PROJECT-21K17715
[Presentation] Sure screening for interaction effect in generalized linear models2023
- Author(s)
  Yuta Umezu
- Organizer
  6th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17715
[Presentation] Non-linear variable selection with ultra high-dimensionality2022
- Author(s)
  Yuta Umezu
- Organizer
  Joint Seminar: IIIT-Delhi and Nagasaki University Cutting-Edge Issues in Spatial Econometrics and Image Processing: Missing Data, Causal Inference and Machine Learning
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17715
[Presentation] カーネル法に基づく超高次元スクリーニング2022
- Author(s)
  梅津佑太
- Organizer
  多様な高次元モデルの理論と方法論：最前線の動向
- Invited
- Data Source
  KAKENHI-PROJECT-21K17715
[Presentation] Sparse Regularization Method and Information Criterion2020
- Author(s)
  梅津佑太
- Organizer
  2020年度統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-18K18010
[Presentation] カーネル法に基づく超高次元モデル選択2020
- Author(s)
  梅津佑太
- Organizer
  2020年度科研費シンポジウム「多様な分野のデータに対する統計科学・機械学習的アプローチ」
- Data Source
  KAKENHI-PROJECT-18K18010
[Presentation] 超高次元加法モデルにおけるモデル選択2020
- Author(s)
  梅津佑太
- Organizer
  2020年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K18010
[Presentation] 超高次元スパース加法モデルにおける変数選択2019
- Author(s)
  梅津佑太
- Organizer
  科研費シンポジウム「統計学と機械学習の数理と展開」
- Data Source
  KAKENHI-PROJECT-18K18010
[Presentation] 超高次元加法モデルにおける変数選択2019
- Author(s)
  梅津佑太
- Organizer
  第22回情報論的学習理論ワークショップ(IBIS2019)
- Data Source
  KAKENHI-PROJECT-18K18010
[Presentation] Selective Inference に基づく変化点検出とその応用2018
- Author(s)
  梅津佑太, 竹内一郎
- Organizer
  日本応用数理学会2018年度年会
- Invited
- Data Source
  KAKENHI-PROJECT-18K18010
[Presentation] Selective Inference for Change Point Detection in Multi-dimensional Sequences2018
- Author(s)
  Yuta Umezu
- Organizer
  Chile-Japan Academic Forum 2018
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18010
[Presentation] Selective Inference under the Local Alternative2018
- Author(s)
  梅津佑太, 竹内一郎
- Organizer
  2018年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K18010
[Presentation] Selective Inference に基づく多変量系列の変化点検出2018
- Author(s)
  梅津佑太
- Organizer
  日本行動計量学会第 46 回大会
- Invited
- Data Source
  KAKENHI-PROJECT-18K18010
[Presentation] Selective Inference に基づくスパース線形回帰モデルにおける能動学習2018
- Author(s)
  梅津佑太, 竹内一郎
- Organizer
  第21回情報論的学習理論ワークショップ (IBIS 2018)
- Data Source
  KAKENHI-PROJECT-18K18010

1. 松井秀俊

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
2. 高橋智

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
3. 竹内一郎

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
4. 二宮嘉行

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

UMEZU Yuuta 梅津 佑太

UMEZU Yuta 梅津 佑太

Research Projects

Research Products

Co-Researchers

Model Selection for Ultra-high Dimensional and Non-linear DataPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Statistical inference in exploratory data analysis and its applicationPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Book] スパース回帰分析とパターン認識2020

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Book] 大規模計算時代の統計推論2020

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Journal Article] Selective inference for high-order interaction features selected in a stepwise manner2021

Author(s)

Journal Title

DOI

NAID

Data Source

[Journal Article] Variable selection in multivariate linear models for functional data via sparse regularization2020

Author(s)

Journal Title

DOI

NAID

Data Source

[Journal Article] A novel sensitive detection method for DNA methylation in circulating free DNA of pancreatic cancer2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Selective inference via marginal screening for high dimensional classification2019

Author(s)

Journal Title

DOI

NAID

Data Source

[Journal Article] AIC for the non-concave penalized likelihood method2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Efficient Learning Algorithm for Sparse SubSequence Pattern-based Classication and Applications to Comparative Animal Trajectory Data Analysis2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Can AI predict animal movements? Filling gaps in animal trajectories using inverse reinforcement learning2018

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Post Selection Inference with Kernels2018

Author(s)

Journal Title

Data Source

[Presentation] モデル選択後の統計的推測2025

Author(s)

Organizer

Data Source

[Presentation] On the marginal screening under the least absolute deviation regression models2024

Author(s)

Organizer

Data Source

[Presentation] 高次元データに対するモデル選択2024

UMEZU Yuuta 梅津佑太

UMEZU Yuta 梅津佑太