A mixture of g-priors for variable selection when the number of regressors grows with the sample size

Consistency of Bayes factors under hyper g-priors with growing model size

(2016) Ruoxuan Xiang et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Posterior Model Consistency in Variable Selection as the Model Dimension Grows

(2015) Elías Moreno et al.   STATISTICAL SCIENCE

Bayesian variable selection with shrinking and diffusing priors

(2014) Naveen Naidu Narisetty et al.   ANNALS OF STATISTICS

On consistency and optimality of Bayesian variable selection based on $$g$$ g -prior in normal linear regression models

(2014) Minerva Mukhopadhyay et al.   ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS

Bayes factor consistency for nested linear models with a growing number of parameters

(2013) Min Wang et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Model selection principles in misspecified models

(2013) Jinchi Lv et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Criteria for Bayesian model choice with application to variable selection

(2012) M. J. Bayarri et al.   ANNALS OF STATISTICS

Mixtures of g-priors for Bayesian model averaging with economic applications

(2012) Eduardo Ley et al.   JOURNAL OF ECONOMETRICS

Consistent High-Dimensional Bayesian Variable Selection via Penalized Credible Regions

(2012) Howard D. Bondell et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Bayesian Model Selection in High-Dimensional Settings

(2012) Valen E. Johnson et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

On Sampling Strategies in Bayesian Variable Selection Problems With Large Model Spaces

(2012) G. García-donato et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Fully Bayes factors with a generalized g-prior

(2011) Yuzo Maruyama et al.   ANNALS OF STATISTICS

Consistency of Bayesian linear model selection with a growing number of parameters

(2011) Zuofeng Shang et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Bayesian lasso regression

(2009) C. Hans   BIOMETRIKA

Mixtures ofgPriors for Bayesian Variable Selection

(2008) Feng Liang et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

The Bayesian Lasso

(2008) Trevor Park et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Generalization of Jeffreys divergence-based priors for Bayesian hypothesis testing

(2008) M. J. Bayarri et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Empirical Bayes vs. fully Bayes variable selection

(2007) Wen Cui et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE