44 citations · 84 across the 18 of their papers we have counts for
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stat.ME2023
Sequential Bayesian Predictive Synthesis
Riku Masuda, Kaoru Irie
Dynamic Bayesian predictive synthesis is a formal approach to coherently synthesizing multiple predictive distributions into a single distribution. In sequential analysis, the comp…
stat.ME2023★ 3 cited
Posterior Robustness with Milder Conditions: Contamination Models Revisited
Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa
Robust Bayesian linear regression is a classical but essential statistical tool. Although novel robustness properties of posterior distributions have been proved recently under a c…
stat.ME2023★ 2 cited
Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions
Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa
Sampling from matrix generalized inverse Gaussian (MGIG) distributions is required in Markov Chain Monte Carlo (MCMC) algorithms for a variety of statistical models. However, an ef…