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RIKEN Center for Brain Science Statistical Mathematics Unit

Unit Leader: Takeru Matsuda (Ph.D.)

Research Summary

With recent advances in experimental technologies, large-scale and diverse brain data are now available. To extract more information from such brain data, we develop tailored statistical methods by translating the characteristics of data into the form of statistical models. We incorporate techniques from applied mathematics, such as numerical analysis and optimization, to develop efficient methods that are applicable to large-scale data. We also investigate the fundamental theory of statistics.

Main Research Fields

  • Informatics

Related Research Fields

  • Interdisciplinary Science & Engineering
  • Mathematical & Physical Sciences
  • Statistical science
  • Mathematical informatics

Keywords

  • Statistics
  • Applied mathematics
  • Data analysis
  • Machine learning

Selected Publications

  • 1. Uehara, M., Matsuda, T. and Kim, J. K.:
    "Imputation estimators for unnormalized models with missing data"
    23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020).
  • 2. Xu, W. and Matsuda, T.:
    "A Stein goodness-of-fit test for directional distributions"
    23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020).
  • 3. Matsuda, T. and Hyvarinen, A.:
    "Estimation of non-normalized mixture models"
    22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019).
  • 4. Matsuda, T. and Strawderman, W. E.:
    "Improved loss estimation for a normal mean matrix"
    Journal of Multivariate Analysis 169, 300--311, 2019.
  • 5. Matsuda, T. and Komaki, F.:
    "Empirical Bayes matrix completion"
    Computational Statistics & Data Analysis 137, 195--210, 2019.
  • 6. Maruyama, Y., Matsuda, T. and Ohnishi, T.:
    "Harmonic Bayesian prediction under alpha-divergence"
    IEEE Transactions on Information Theory 65, 5352-5366, 2019.
  • 7. Matsuda, T. and Komaki, F.:
    "Multivariate time series decomposition into oscillation components"
    Neural Computation 29, 2055--2075, 2017.
  • 8. Matsuda, T. and Komaki, F.:
    "Time series decomposition into oscillation components and phase estimation"
    Neural Computation 29, 332--367, 2017.
  • 9. Matsuda, T., Kitajo, K., Yamaguchi, Y. and Komaki, F.:
    "A point process modeling approach for investigating the effect of online brain activity on perceptual switching"
    NeuroImage 152, 50--59, 2017.
  • 10. Matsuda, T. and Komaki, F.:
    "Singular value shrinkage priors for Bayesian prediction"
    Biometrika 102, 843--854, 2015.

Lab Members

Principal investigator

Takeru Matsuda
Unit Leader

Related Links

Contact Information

Email: takeru.matsuda [at] riken.jp

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