3 papers
stat.ME2026
Robust Bayesian Modeling with Adaptive Posterior FDR Control for Large-Scale Data
Yoshiko Hayashi
Controlling the false discovery rate (FDR) is a critical challenge in large-scale data analysis, particularly in the presence of outliers. A common practice involves imposing a Stu…
stat.ME2025
Local empirical Bayes correction for Bayesian modeling
Yoshiko Hayashi
The James-Stein estimator has attracted much interest as a shrinkage estimator that yields better estimates than the maximum likelihood estimator. The James-Stein estimator is also…
stat.ME2025
Robust local empirical Bayes correction for Bayesian modeling
Yoshiko Hayashi
This paper investigates a robust empirical Bayes correction for Bayesian modeling. We show the application of the model on income distribution. Income shock includes temporal and p…