Consistent group selection using nonlocal priors in regression

Cites Work

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Penalized methods for bi-level variable selection
The group exponential lasso for bi-level variable selection
Bayesian variable selection with shrinking and diffusing priors
Empirical Bayes posterior concentration in sparse high-dimensional linear models
Bayesian variable selection and estimation for group Lasso
On the computational complexity of high-dimensional Bayesian variable selection
Bayesian linear regression with sparse priors
Bayesian model selection for generalized linear models using non-local priors
Posterior graph selection and estimation consistency for high-dimensional Bayesian DAG models
Bayesian group selection with non-local priors
Consistent group selection with Bayesian high dimensional modeling
Minimax posterior convergence rates and model selection consistency in high-dimensional DAG models based on sparse Cholesky factors
High-dimensional posterior consistency for hierarchical non-local priors in regression
Spike and slab variable selection: frequentist and Bayesian strategies
High-dimensional graphs and variable selection with the Lasso
On the use of Non-Local Prior Densities in Bayesian Hypothesis Tests
Scalable Bayesian Variable Selection Using Nonlocal Prior Densities in Ultrahigh-dimensional Settings
The Spike-and-Slab LASSO
Bayesian Model Selection in High-Dimensional Settings
Joint Bayesian Variable and DAG Selection Consistency for High-dimensional Regression Models with Network-structured Covariates
Skinny Gibbs: A Consistent and Scalable Gibbs Sampler for Model Selection
Shotgun Stochastic Search for “Largep” Regression
Model Selection and Estimation in Regression with Grouped Variables
A selective review of group selection in high-dimensional models
Bayesian group selection in logistic regression with application to MRI data analysis

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