Log-regularly varying scale mixture of normals for robust regression. - Yasuyuki Hamura; Kaoru Irie; Shonosuke Sugasawa (Comput. Stat. Data Anal., 2022)

On Data Augmentation for Models Involving Reciprocal Gamma Functions. - Yasuyuki Hamura; Kaoru Irie; Shonosuke Sugasawa (J. Comput. Graph. Stat., 2023)

Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression. - Yuto Miyatake; Kaoru Irie; Takeru Matsuda (CoRR, 2024)

Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions. - Yasuyuki Hamura; Kaoru Irie; Shonosuke Sugasawa (J. Comput. Graph. Stat., 2024)

Score-adjusted methods for estimation of shape parameters in Gamma-Poisson and Beta-Binomial distributions. - Hiromasa Tamae; Kaoru Irie; Tatsuya Kubokawa (Commun. Stat. Simul. Comput., 2024)