Overview
Yuzo Maruyama is a statistician (University of Tokyo), working on Bayesian and decision-theoretic estimation, shrinkage, and objective priors for model selection.
Key Contributions / Features
- Fully Bayes g-prior (Maruyama-George 2011): with George, a generalized Zellner g-prior allowing p>n with closed-form Bayes factors and selection consistency.
- Work on minimax and admissible shrinkage estimation and objective Bayesian methods.
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