Matsuda Takeru 松田孟留

Researcher Number	50808475
Other IDs
Affiliation (Current)	2025: 東京大学, 大学院情報理工学系研究科, 准教授
Affiliation (based on the past Project Information) *help	2022 – 2024: 東京大学, 大学院情報理工学系研究科, 准教授 2022: 東京大学, 情報理工学系研究科, 准教授 2020 – 2022: 国立研究開発法人理化学研究所, 脳神経科学研究センター, ユニットリーダー 2017 – 2019: 東京大学, 大学院情報理工学系研究科, 特任助教
Review Section/Research Field	Principal Investigator Basic Section 60030:Statistical science-related / Statistical science Except Principal Investigator Basic Section 60100:Computational science-related / Complex systems / Transformative Research Areas, Section (II)
Keywords	Principal Investigator ベイズ統計 / 修正赤池情報量規準 / 適応推定 / 統計モデリング / 脳神経科学 / 統計学 / アジョイント法 / 常微分方程式 / fNIRS / 振動子 … More / 状態空間モデル / 時系列解析 / 特異値縮小型事前分布 / 多変量線形回帰 / 損失推定 / 縮小ランク回帰 / 行列補完 / 特異値 / 低ランク … More Except Principal Investigator データ同化 / 数値解析 / 統計モデル / 数理モデル / スパイクソーティング / 時系列解析 / 点過程 / ベイズ統計 / 地震カタログ / 地球物理学 / 情報科学 / Slow-to-Fast地震現象 / Slow地震 Less

データ同化の信頼性向上に向けた時間逆向き数値計算法の確立と地震学への応用展開
- Principal Investigator
  
  宮武勇登
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60100:Computational science-related
- Research Institution
  Osaka University
脳内情報処理メカニズムを解明するための統計手法の開発Principal Investigator
- Principal Investigator
  
  松田孟留
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  The University of Tokyo
Data-driven discovery and monitoring of Slow-to-Fast Earthquakes
- Principal Investigator
  
  加藤愛太郎
- Project Period (FY)
  2021 – 2025
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (II)
- Research Institution
  The University of Tokyo
Statistical analysis of oscillation phenomenon in time series dataPrincipal Investigator
- Principal Investigator
  
  Matsuda Takeru
- Project Period (FY)
  2019 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  The University of Tokyo
  Institute of Physical and Chemical Research
Development of statistical methods employing low-rankness and their basic theoryPrincipal Investigator
- Principal Investigator
  
  Matsuda Takeru
- Project Period (FY)
  2017 – 2018
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Research Field
  
  Statistical science
- Research Institution
  The University of Tokyo
Development of Mathematical Models for Brain Systems Generating Individuality and Statistical Data Analysis
- Principal Investigator
  
  KOMAKI Fumiyasu
- Project Period (FY)
  2016 – 2020
- Research Category
  
  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
- Review Section
  
  Complex systems
- Research Institution
  The University of Tokyo

All 2024 2023 2022 2021 2020 2019 2018 2017 Other

All Journal Article Presentation Other

[Journal Article] Inadmissibility of the corrected Akaike information criterion2024
- Author(s)
  Matsuda Takeru
- Journal Title
  
  Bernoulli
  
  Volume: 30 Issue: 2
- DOI
  10.3150/23-bej1638
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K17865, KAKENHI-PROJECT-19K20220
[Journal Article] Modelling the discretization error of initial value problems using the Wishart distribution2024
- Author(s)
  Marumo Naoki、Matsuda Takeru、Miyatake Yuto
- Journal Title
  
  Applied Mathematics Letters
  
  Volume: 147 Pages: 108833-108833
- DOI
  10.1016/j.aml.2023.108833
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K18301, KAKENHI-PROJECT-22K17865, KAKENHI-PROJECT-19K20220, KAKENHI-PROJECT-20H00581, KAKENHI-PROJECT-20H01822
[Journal Article] Adapting to general quadratic loss via singular value shrinkage2024
- Author(s)
  Matsuda Takeru
- Journal Title
  
  IEEE Transactions on Information Theory
  
  Volume: - Issue: 5 Pages: 3640-3657
- DOI
  10.1109/tit.2023.3344649
- Data Source
  KAKENHI-PROJECT-19K20220
[Journal Article] Matrix quadratic risk of orthogonally invariant estimators for a normal mean matrix2023
- Author(s)
  Matsuda Takeru
- Journal Title
  
  Japanese Journal of Statistics and Data Science
  
  Volume: - Issue: 1 Pages: 313-328
- DOI
  10.1007/s42081-023-00216-z
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K17865, KAKENHI-PROJECT-19K20220
[Journal Article] Oscillator decomposition of infant fNIRS data2022
- Author(s)
  Matsuda, T., Homae, F., Watanabe, H., Taga, G., & Komaki, F.
- Journal Title
  
  PLoS computational biology
  
  Volume: - Issue: 3 Pages: 1-31
- DOI
  10.1371/journal.pcbi.1009985
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-16H06525, KAKENHI-PROJECT-19H01086, KAKENHI-PROJECT-20K20601, KAKENHI-PROJECT-19K20220, KAKENHI-PLANNED-16H06533, KAKENHI-PROJECT-18H03579
[Journal Article] Advanced paternal age diversifies individual trajectories of vocalization patterns in neonatal mice2022
- Author(s)
  Mai Lingling、Inada Hitoshi、Kimura Ryuichi、Kanno Kouta、Matsuda Takeru、Tachibana Ryosuke O.、Tucci Valter、Komaki Fumiyasu、Hiroi Noboru、Osumi Noriko
- Journal Title
  
  iScience
  
  Volume: 25 Issue: 8 Pages: 104834-104834
- DOI
  10.1016/j.isci.2022.104834
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K03144, KAKENHI-PROJECT-22K19322, KAKENHI-PROJECT-19K20220, KAKENHI-PROJECT-22H00510
[Journal Article] Information geometry of operator scaling2022
- Author(s)
  Matsuda Takeru、Soma Tasuku
- Journal Title
  
  Linear Algebra and its Applications
  
  Volume: 649 Pages: 240-267
- DOI
  10.1016/j.laa.2022.04.022
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20220
[Journal Article] Adjoint-based exact Hessian computation2021
- Author(s)
  S. Ito, T. Matsuda, and Y. Miyatake
- Journal Title
  
  BIT Numerical Mathematics
  
  Volume: - Issue: 2 Pages: 503-522
- DOI
  10.1007/s10543-020-00833-0
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K14671, KAKENHI-PROJECT-19K20220, KAKENHI-PROJECT-20H00581, KAKENHI-PROJECT-20H01822
[Journal Article] Estimation of ordinary differential equation models with discretization error quantification2021
- Author(s)
  T. Matsuda and Y. Miyatake
- Journal Title
  
  SIAM/ASA Journal on Uncertainty Quantification
  
  Volume: 9 Issue: 1 Pages: 302-331
- DOI
  10.1137/19m1278405
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20220, KAKENHI-PROJECT-16K17550, KAKENHI-PROJECT-20H01822, KAKENHI-PROJECT-20H00581
[Journal Article] Shrinkage Estimation and Superharmonicity2021
- Author(s)
  松田孟留
- Journal Title
  
  Bulletin of the Japan Society for Industrial and Applied Mathematics
  
  Volume: 31 Issue: 4 Pages: 7-14
- DOI
  10.11540/bjsiam.31.4_7
- NAID
  40022784438
- ISSN
  2432-1982
- Year and Date
  2021-12-22
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20220
[Journal Article] Generalization of partitioned Runge--Kutta methods for adjoint systems2021
- Author(s)
  T. Matsuda and Y. Miyatake
- Journal Title
  
  Journal of Computational and Applied Mathematics
  
  Volume: 388 Pages: 113308-113308
- DOI
  10.1016/j.cam.2020.113308
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20220, KAKENHI-PROJECT-20H01822, KAKENHI-PROJECT-20H00581
[Journal Article] T. Matsuda and W. E. Strawderman2021
- Author(s)
  Predictive density estimation under the Wasserstein loss
- Journal Title
  
  Journal of Statistical Planning and Inference
  
  Volume: 210 Pages: 53-63
- DOI
  10.1016/j.jspi.2020.05.005
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20220, KAKENHI-PLANNED-16H06533
[Journal Article] Information criteria for non-normalized models2021
- Author(s)
  Matsuda Takeru, Uehara Masatoshi, Aapo Hyvarinen
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 22
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-16H06533
[Journal Article] Information criteria for non-normalized models.2021
- Author(s)
  T. Matsuda, M. Uehara and A. Hyvarinen.
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 22(158) Pages: 1-33
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20220
[Journal Article] 競技かるたの決まり字に関する統計的解析2020
- Author(s)
  松田孟留
- Journal Title
  
  応用統計学
  
  Volume: 49 Issue: 1 Pages: 1-11
- DOI
  10.5023/jappstat.49.1
- NAID
  130007891751
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K20220
[Journal Article] Game-theoretic derivation of upper hedging prices of multivariate contingent claims and submodularity2020
- Author(s)
  T. Matsuda and A. Takemura
- Journal Title
  
  Japan Journal of Industrial and Applied Mathematics
  
  Volume: 37 Issue: 1 Pages: 213-248
- DOI
  10.1007/s13160-019-00394-y
- NAID
  210000175776
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K20220, KAKENHI-PROJECT-18H04092
[Journal Article] Harmonic Bayesian Prediction Under α -Divergence2019
- Author(s)
  Yuzo Maruyama, Takeru Matsuda, Toshio Ohnishi
- Journal Title
  
  IEEE Transactions on Information Theory
  
  Volume: 65 Issue: 9 Pages: 5352-5366
- DOI
  10.1109/tit.2019.2915245
- NAID
  120007017124
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K00053, KAKENHI-PROJECT-19K11852, KAKENHI-PROJECT-19K20220, KAKENHI-PROJECT-18H00835, KAKENHI-PROJECT-16K00040
[Journal Article] Empirical Bayes matrix completion2019
- Author(s)
  T. Matsuda and F. Komaki
- Journal Title
  
  Computational Statistics & Data Analysis
  
  Volume: 137 Pages: 195-210
- DOI
  10.1016/j.csda.2019.02.006
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17H06569, KAKENHI-PLANNED-16H06533
[Journal Article] Improved loss estimation for a normal mean matrix2019
- Author(s)
  T. Matsuda and W. E. Strawderman
- Journal Title
  
  Journal of Multivariate Analysis
  
  Volume: 169 Pages: 300-311
- DOI
  10.1016/j.jmva.2018.10.001
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06569
[Journal Article] Multivariate time series decomposition into oscillation components2017
- Author(s)
  Matsuda, T. and Komaki
- Journal Title
  
  Neural Computation
  
  Volume: 29 Pages: 2055-2075
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PLANNED-16H06533
[Journal Article] A point process modeling approach for investigating the effect of online brain activity on perceptual switching,2017
- Author(s)
  Matsuda, T., Kitajo, K., Yamaguchi, Y., and Komaki, F.
- Journal Title
  
  NeuroImage
  
  Volume: 152 Pages: 50-59
- DOI
  10.1016/j.neuroimage.2017.02.068
- Peer Reviewed
- Data Source
  KAKENHI-ORGANIZER-16H06524, KAKENHI-PROJECT-14J09148, KAKENHI-INTERNATIONAL-16K21734, KAKENHI-PLANNED-16H06533
[Journal Article] Time series decomposition into oscillation components and phase estimation2017
- Author(s)
  Matsuda, T. and Komaki, F.
- Journal Title
  
  Neural Computation
  
  Volume: 29 Issue: 2 Pages: 332-367
- DOI
  10.1162/neco_a_00916
- Peer Reviewed
- Data Source
  KAKENHI-ORGANIZER-16H06524, KAKENHI-PROJECT-14J09148, KAKENHI-PROJECT-26280005, KAKENHI-INTERNATIONAL-16K21734, KAKENHI-PLANNED-16H06533
[Journal Article] Minimax estimation of quantum states based on the latent information priors2017
- Author(s)
  Koyama, T., Matsuda, T. and Komaki, F.
- Journal Title
  
  Entropy
  
  Volume: 19 Issue: 11 Pages: 618-618
- DOI
  10.3390/e19110618
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PLANNED-16H06533, KAKENHI-PROJECT-17H06569
[Journal Article] Multivariate time series decomposition into oscillation components.2017
- Author(s)
  Matsuda T, Komaki F:
- Journal Title
  
  Neural Computation
  
  Volume: 29 Issue: 8 Pages: 2055-2075
- DOI
  10.1162/neco_a_00981
- Peer Reviewed
- Data Source
  KAKENHI-INTERNATIONAL-16K21734, KAKENHI-PROJECT-26280005, KAKENHI-ORGANIZER-16H06524, KAKENHI-PROJECT-17H06569
[Presentation] 振動子分解法による多チャンネル脳波からのアルファ波分解2024
- Author(s)
  高島和樹, 松田孟留, 山下歩, 澤山正貴, 澁澤柊花, 天野薫
- Organizer
  日本視覚学会 2024年冬季大会
- Data Source
  KAKENHI-PROJECT-22K17865
[Presentation] ロジスティック回帰における共変量測定誤差をもつデータの統合2024
- Author(s)
  松田孟留
- Organizer
  慶應義塾大学計量経済学ワークショップ
- Invited
- Data Source
  KAKENHI-PROJECT-22K17865
[Presentation] Wasserstein--Cramer--Rao inequality and robustness2024
- Author(s)
  Takeru Matsuda
- Organizer
  6th IMS Asia Pacific Rim Meeting (ims-APRM 2024)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17865
[Presentation] 振動子分解法による多チャンネル脳波からのアルファ波分解2024
- Author(s)
  高島和樹, 松田孟留, 山下歩, 澤山正貴, 澁澤柊花, 天野薫
- Organizer
  日本視覚学会 2024年冬季大会
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Oscillator decomposition of time series data2024
- Author(s)
  T. Matsuda
- Organizer
  Complex systems seminar, University of Sydney
- Invited
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] 行列のベイズ縮小推定2023
- Author(s)
  松田孟留
- Organizer
  科研費シンポジウム「ベイズ統計学の最近の展開」
- Invited
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] 行列の縮小推定2023
- Author(s)
  松田孟留
- Organizer
  日本数学会2023年度年会
- Invited
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Matrix estimation via singular value shrinkage2023
- Author(s)
  Takeru Matsuda
- Organizer
  9th International Forum in Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17865
[Presentation] 行列の縮小推定2022
- Author(s)
  松田孟留
- Organizer
  確率・統計・行列ワークショップ松本2022.
- Invited
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] 脳波時系列データにおける状態空間モデルのベイズ推定2022
- Author(s)
  城田慎一郎, 松田孟留
- Organizer
  2022年度統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-22K17865
[Presentation] Data-driven decomposition of slow-to-fast earthquakes2022
- Author(s)
  Matsuda, T., Baba, S., Kato, A.
- Organizer
  International joint workshop on Slow-to-Fast earthquakes 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-21H05205
[Presentation] イーエンス・ピットマン分割のパラメータ推定の漸近理論2022
- Author(s)
  郡山拓也, 松田孟留, 駒木文保
- Organizer
  2021年度日本統計学会春季集会
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Matrix estimation by singular value shrinkage2022
- Author(s)
  Takeru Matsuda
- Organizer
  Conference on Advances in Bayesian and Frequentist Theory and Methods with a Celebration of Bill Strawderman's 80th Birthday
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17865
[Presentation] Data-driven decomposition of slow-to-fast earthquakes2022
- Author(s)
  T. Matsuda, S. Baba and A. Kato
- Organizer
  International Joint Workshop on Slow Earthquakes 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Adapting to arbitrary quadratic loss via singular value shrinkage2022
- Author(s)
  Takeru Matsuda
- Organizer
  EcoSta 2022
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17865
[Presentation] 脳波時系列データにおける状態空間モデルのベイズ推定2022
- Author(s)
  城田慎一郎, 松田孟留
- Organizer
  2022年度統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Wasserstein statistics in one-dimensional location-scale models2021
- Author(s)
  Shun-ichi Amari and Takeru Matsuda
- Organizer
  5th conference on Geometric Science of Information (GSI 2021)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] 競技かるたの決まり字に関する統計的解析2021
- Author(s)
  松田孟留
- Organizer
  2021年度統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] シンプレクティックアジョイント法に基づく高精度不確実性定量化法2021
- Author(s)
  伊藤伸一, 松田孟留, 宮武勇登
- Organizer
  2021年度統計関連学会連合大会.
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] On Geometry of Stein Goodness-of-fit Testing2021
- Author(s)
  Wenkai Xu and Takeru Matsuda
- Organizer
  5th conference on Geometric Science of Information (GSI 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Estimation under matrix quadratic loss and matrix superharmonic priors2021
- Author(s)
  Takeru Matsuda
- Organizer
  EAC-ISBA 2021
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Interpretable Stein Goodness-of-fit Tests on Riemannian Manifolds2021
- Author(s)
  Wenkai Xu and Takeru Matsuda
- Organizer
  Proceedings of the 38th International Conference on Machine Learning (ICML 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Estimation under matrix quadratic loss and matrix superharmonicity2021
- Author(s)
  Takeru Matsuda
- Organizer
  EcoSta 2021
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] データ駆動型研究のためのモデリング・アルゴリズム・数理2021
- Author(s)
  松田孟留
- Organizer
  CBI学会2021年大会
- Invited
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] 一般化近単調回帰と常微分方程式の数値計算の誤差推定2021
- Author(s)
  松田孟留, 宮武勇登
- Organizer
  日本応用数理学会2021年度年会
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Imputation estimators for unnormalized models with missing data2020
- Author(s)
  M. Uehara, T. Matsuda and J. K. Kim
- Organizer
  23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Matrix superharmonic priors for Bayes estimation under matrix quadratic loss2020
- Author(s)
  松田孟留, William Strawderman
- Organizer
  2020年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Second-order adjoint方程式に基づくヘッセ行列の計算について2020
- Author(s)
  伊藤伸一, 松田孟留, 宮武勇登
- Organizer
  日本応用数理学会2020年度年会
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] 作用素スケーリングの情報幾何2020
- Author(s)
  松田孟留, 相馬輔
- Organizer
  日本応用数理学会2020年度年会
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] A unified statistically efficient estimation framework for unnormalized models2020
- Author(s)
  M. Uehara, T. Kanamori, T. Takenouchi and T. Matsuda
- Organizer
  23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] A Stein goodness-of-fit test for directional distributions2020
- Author(s)
  W. Xu and T. Matsuda
- Organizer
  23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Extracting non-sinusoidal oscillators from neural time series data2020
- Author(s)
  松田孟留
- Organizer
  第43回日本神経科学大会
- Invited
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Estimation of ODE models with quantifying discretization error2019
- Author(s)
  T. Matsuda and Y. Miyatake
- Organizer
  SciCADE 2019
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Singular value shrinkage priors for Bayesian prediction2019
- Author(s)
  T. Matsuda
- Organizer
  EAC-ISBA 2019
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] 特異値縮小型事前分布と経験ベイズ行列補完2019
- Author(s)
  松田孟留
- Organizer
  大阪大学データ科学特別セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Estimation of non-normalized mixture models2019
- Author(s)
  松田孟留, Aapo Hyvarinen
- Organizer
  2019年度統計関連学会連合大会.
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Singular value shrinkage prior: a matrix version of Stein's prior2019
- Author(s)
  T. Matsuda
- Organizer
  Symposium in Memory of Charles Stein
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Oscillator decomposition of time series data2019
- Author(s)
  松田孟留
- Organizer
  理研CBSワークショップ「脳・心・機械の理論に向けて」.
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] 離散化誤差を考慮した常微分方程式モデルのパラメータ推定2019
- Author(s)
  松田孟留, 宮武勇登
- Organizer
  RIMS研究集会「諸科学分野を結ぶ基礎学問としての数値解析学」
- Invited
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Singular value shrinkage priors and empirical Bayes matrix completion2019
- Author(s)
  T. Matsuda
- Organizer
  New and Evolving Roles of Shrinkage in Large-Scale Prediction and Inference
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] 離散化誤差を考慮した常微分方程式モデルのパラメータ推定2019
- Author(s)
  松田孟留
- Organizer
  東京大学数値解析セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Estimation of Non-Normalized Mixture Models2019
- Author(s)
  T. Matsuda and A. Hyvarinen
- Organizer
  22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] ベイズ振動子分解による地震波データの解析2019
- Author(s)
  松田孟留, 加藤愛太郎, 駒木文保
- Organizer
  日本地球惑星科学連合2019年大会.
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] 脳神経データの振動子分解2019
- Author(s)
  松田孟留
- Organizer
  生理研研究会「脳神経ダイナミクスの可視化と制御」.
- Invited
- Data Source
  KAKENHI-PROJECT-19K20220
[Presentation] Minimax adaptive reduced-rank regression2018
- Author(s)
  松田孟留
- Organizer
  5th IMS Asia Pacific Rim Meeting (ims-APRM 2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06569
[Presentation] Information criteria for non-normalized models2018
- Author(s)
  松田孟留
- Organizer
  2018年度統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-17H06569
[Presentation] Statistical verification of the common oscillatory behaviors in oxy-Hb and deoxy-Hb time series2018
- Author(s)
  Takeru Matsuda, Fumitaka Homae, Hama Watanabe, Gentaro Taga and Fumiyasu Komaki
- Organizer
  fNIRS2018
- Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-16H06533
[Presentation] 経験ベイズ法による行列補完2017
- Author(s)
  松田孟留, 駒木文保
- Organizer
  2017年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-17H06569
[]

1. KOMAKI Fumiyasu (70242039)

# of Collaborated Projects: 1 results

# of Collaborated Products: 6 results
2. 加藤愛太郎 (20359201)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
3. 武村俊介 (10750200)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 矢野恵佑 (20806070)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 中野優 (40314041)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 内田直希 (80374908)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 内出崇彦 (80713049)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
8. 三井雄太 (80717950)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. 小寺祐貴 (80780741)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. 竹尾明子 (90756933)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
11. 宮武勇登 (60757384)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
12. 加納将行 (10739056)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
13. 伊藤伸一 (10756331)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
14. WATANABE Hama

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
15. HOMAE Fumitaka

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
16. 多賀巌太郎

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
17. 大西俊郎

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
18. 菅野康太

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Matsuda Takeru 松田 孟留

Research Projects

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Co-Researchers

データ同化の信頼性向上に向けた時間逆向き数値計算法の確立と地震学への応用展開

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脳内情報処理メカニズムを解明するための統計手法の開発Principal Investigator

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Data-driven discovery and monitoring of Slow-to-Fast Earthquakes

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Statistical analysis of oscillation phenomenon in time series dataPrincipal Investigator

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Development of statistical methods employing low-rankness and their basic theoryPrincipal Investigator

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Development of Mathematical Models for Brain Systems Generating Individuality and Statistical Data Analysis

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[Journal Article] Inadmissibility of the corrected Akaike information criterion2024

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[Journal Article] Modelling the discretization error of initial value problems using the Wishart distribution2024

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[Journal Article] Adapting to general quadratic loss via singular value shrinkage2024

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[Journal Article] Matrix quadratic risk of orthogonally invariant estimators for a normal mean matrix2023

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[Journal Article] Oscillator decomposition of infant fNIRS data2022

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[Journal Article] Advanced paternal age diversifies individual trajectories of vocalization patterns in neonatal mice2022

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[Journal Article] Information geometry of operator scaling2022

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[Journal Article] Adjoint-based exact Hessian computation2021

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Matsuda Takeru 松田孟留