研究概要

主要論文

「*」は、理研外のみでの成果です。

• 1. Komaki, F.
  "Bayesian prediction and estimation based on a shrinkage prior for a Poisson regression model"
  Japanese Journal of Statistics and Data Science (2024).
• 2. Kurata, S., Kuroda, R., and Komaki, F.
  "Statistical modeling for temporal dominance of sensations data incorporating individual characteristics of panelists: an application to data of milk chocolate"
  Journal of Food Science and Technology, 59, pp. 2420-2428 (2022).
• 3. Matsuda, T., Homae, F., Watanabe, H., Taga, G., and Komaki, F.
  "Oscillator decomposition of infant fNIRS data"
  PLoS Computational Biology, 18, e1009985 (2022).
• 4. Komaki, F.
  "Shrinkage priors for nonparametric Bayesian prediction of nonhomogeneous Poisson processes"
  IEEE Transactions on Information Theory, 2021, pp. 5305-5317, (2021).
• 5. Oda, H., and Komaki, F.
  "Shrinkage priors on complex-valued circular-symmetric autoregressive processes"
  IEEE Transactions on Information Theory, 67, pp. 5318-5333 (2021).
• 6. Yano, K., Kaneko, R., and Komaki, F.
  "Minimax predictive density for sparse count data
  Bernoulli, 27, pp. 1212-1238 (2021).
• 7. Shibue, R., and Komaki, F.
  "Deconvolution of calcium imaging data using marked point processes"
  PLoS Computational Biology, 16, e1007650 (2020).
• 8. Shibue, R., and Komaki, F.
  "Firing rate estimation using infinite mixture models and its application to neural decoding"
  Journal of Neurophysiology, 118, pp. 2902-2913 (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, pp. 50-59 (2017).
• 10. Matsuda, T., and Komaki, F.
  "Time series decomposition into oscillation components and phase estimation"
  Neural Computation, 29, pp. 332-367 (2017)

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