activity
20052026
most citedFully Bayes factors with a generalized g-prior

116 citations · 269 across the 29 of their papers we have counts for

collaborators
Showing stat.MEShow all

5 papers · 1 filter

stat.ME2015

Noise Addition for Individual Records to Preserve Privacy and Statistical Characteristics: Case Study of Real Estate Transaction Data

Yuzo Maruyama, Ryoko Tone, Yasushi Asami

We propose a new method of perturbing a major variable by adding noise such that results of regression analysis are unaffected. The extent of the perturbation can be controlled usi…

stat.ME2012★ 1 cited

A new Monte Carlo sampling in Bayesian probit regression

Yuzo Maruyama, William E. Strawderman

We study probit regression from a Bayesian perspective and give an alternative form for the posterior distribution when the prior distribution for the regression parameters is the…

stat.ME2010★ 8 cited

Robust Bayesian variable selection with sub-harmonic priors

Yuzo Maruyama, William E. Strawderman

This paper studies Bayesian variable selection in linear models with general spherically symmetric error distributions. We propose sub-harmonic priors which arise as a class of mix…

stat.ME2009★ 15 cited

A Bayes factor with reasonable model selection consistency for ANOVA model

Yuzo Maruyama

For the ANOVA model, we propose a new g-prior based Bayes factor without integral representation, with reasonable model selection consistency for any asymptotic situations (either…

stat.ME2008★ 116 cited

Fully Bayes factors with a generalized g-prior

Yuzo Maruyama, Edward I. George

For the normal linear model variable selection problem, we propose selection criteria based on a fully Bayes formulation with a generalization of Zellner's -prior which allows f…