研究主題と論文リスト

研究プロジェクト

  • 統計の哲学の新しい展開
  • 統計学の数理・応用と哲学の共創的発展
  • PhiMASの活動から統計教育への展開
  • AI・脳研究・複雑系とデータサイエンスの交流

伊庭幸人(所長)最近の論文など

  • W-Kernel and Its Principal Space for Frequentist Evaluation of Bayesian Estimators, Yukito Iba, Neural Computation (2026) 38 (8): 1408–1468. https://doi.org/10.1162/NECO.a.1547 査読あり
  • Posterior Covariance Information Criterion for General Loss Functions, Yukito Iba and Keisuke Yano, Bayesian Anal. Advance Publication 1-31 (2025). https://doi.org/10.1214/25-BA1536. 査読あり
  • {poscosea} : A Computationally Efficient Sensitivity Analysis for Bayesian Models using the Posterior Covariance Representation, Yusaku Ohkubo and Yukito Iba. arXiv:2608.25426 プレプリント
  • Bias Correction of Posterior Means using MCMC Outputs, Yukito Iba. arXiv:2409.03513 プレプリント

大塚淳(副所長)最近の論文など

  • What does it mean to understand AI?, Jun Otsuka, Harvard Data Science Review (2026) 8(1). https://doi.org/10.1162/99608f92.cdf80349.査読あり
  • Modeling Causal Processes, Otsuka, J., Hayashi, T., Yoshii, T., Saigo, H. (2025)., Synthese (2025) 206, 85. https://doi.org/10.1007/s11229-025-05084-6. 査読あり
  • Collective Predictive Coding as Model of Science: Formalizing Scientific Activities Towards Generative Science, Taniguchi, T., Takagi, S., Otsuka, J., Hayashi, Y., Hamada, H. T., Royal Society Open Science (2025) 12: 241678. https://doi.org/10.1098/rsos.241678. 査読あり
  • A Categorical Solution to the Grue Paradox. Yoshii, T. and Otsuka, J., The British Journal for the Philosophy of Science (2024). https://doi.org/10.1086/731314. 査読あり