44 citations · 84 across the 18 of their papers we have counts for
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stat.ME2024
The Group R2D2 Shrinkage Prior for Sparse Linear Models with Grouped Covariates
Eric Yanchenko, Kaoru Irie, Shonosuke Sugasawa
Shrinkage priors are a popular Bayesian paradigm to handle sparsity in high-dimensional regression. Still limited, however, is a flexible class of shrinkage priors to handle groupe…
stat.ME2024★ 1 cited
On the Proofs of the Predictive Synthesis Formula
Riku Masuda, Kaoru Irie
Bayesian predictive synthesis is useful in synthesizing multiple predictive distributions coherently. However, the proof for the fundamental equation of the synthesized predictive…
stat.ME2024
Zero-inflated stochastic volatility model for disaggregated inflation data with exact zeros
Geonhee Han, Kaoru Irie
The disaggregated time-series for the Consumer Price Index (CPI) often exhibits exact zero price changes, stemming from structural features of the data collection process. However,…