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
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