Pages that link to "Item:Q118687"

The following pages link to Bayesian variable selection with shrinking and diffusing priors (Q118687):

Displaying 50 items.

• Bayesian variable selection with shrinking and diffusing priors (Q118687) (← links)
• basad (Q118688) (← links)
• Posterior model consistency in variable selection as the model dimension grows (Q254450) (← links)
• Combining a relaxed EM algorithm with Occam's razor for Bayesian variable selection in high-dimensional regression (Q268752) (← links)
• Bayesian regression based on principal components for high-dimensional data (Q391598) (← links)
• Prior influence in linear regression when the number of covariates increases to infinity (Q419147) (← links)
• Consistency of spike and slab regression (Q645450) (← links)
• Stochastic matching pursuit for Bayesian variable selection (Q692971) (← links)
• Bayesian structured variable selection in linear regression models (Q737001) (← links)
• Strong selection consistency of Bayesian vector autoregressive models based on a pseudo-likelihood approach (Q820793) (← links)
• Some priors for sparse regression modelling (Q908027) (← links)
• Bayesian variable selection for correlated covariates via colored cliques (Q1621667) (← links)
• Variable selection via penalized credible regions with Dirichlet-Laplace global-local shrinkage priors (Q1631579) (← links)
• Variable selection for high-dimensional genomic data with censored outcomes using group Lasso prior (Q1654247) (← links)
• Bayesian variable selection with strong heredity constraints (Q1657864) (← links)
• Variable selection using shrinkage priors (Q1658484) (← links)
• High-dimensional multivariate posterior consistency under global-local shrinkage priors (Q1661340) (← links)
• Fast Bayesian variable selection for high dimensional linear models: marginal solo spike and slab priors (Q1722055) (← links)
• Model selection using mass-nonlocal prior (Q1726889) (← links)
• Posterior graph selection and estimation consistency for high-dimensional Bayesian DAG models (Q1731759) (← links)
• Bayesian estimation of sparse signals with a continuous spike-and-slab prior (Q1747745) (← links)
• Variable selection for partially linear models via Bayesian subset modeling with diffusing prior (Q2022563) (← links)
• Unified Bayesian theory of sparse linear regression with nuisance parameters (Q2044407) (← links)
• Variable selection consistency of Gaussian process regression (Q2054515) (← links)
• Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection (Q2080371) (← links)
• Bayesian empirical likelihood inference and order shrinkage for autoregressive models (Q2122804) (← links)
• Bayesian high-dimensional semi-parametric inference beyond sub-Gaussian errors (Q2132004) (← links)
• Bayesian penalized Buckley-James method for high dimensional bivariate censored regression models (Q2134161) (← links)
• Bayesian group selection with non-local priors (Q2135854) (← links)
• Objective Bayesian edge screening and structure selection for Ising networks (Q2141635) (← links)
• A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions (Q2152553) (← links)
• Random weighting in LASSO regression (Q2154956) (← links)
• Bayesian factor-adjusted sparse regression (Q2155305) (← links)
• Projective inference in high-dimensional problems: prediction and feature selection (Q2188473) (← links)
• Consistent Bayesian sparsity selection for high-dimensional Gaussian DAG models with multiplicative and beta-mixture priors (Q2196119) (← links)
• Bayesian fusion estimation via \(t\) shrinkage (Q2206752) (← links)
• Consistent group selection with Bayesian high dimensional modeling (Q2226716) (← links)
• Asymptotic theory of dependent Bayesian multiple testing procedures under possible model misspecification (Q2230874) (← links)
• Maximum pairwise Bayes factors for covariance structure testing (Q2233577) (← links)
• Quasi-Bayesian estimation of large Gaussian graphical models (Q2274970) (← links)
• Minimax posterior convergence rates and model selection consistency in high-dimensional DAG models based on sparse Cholesky factors (Q2284379) (← links)
• Variance prior forms for high-dimensional Bayesian variable selection (Q2290703) (← links)
• A novel Bayesian approach for variable selection in linear regression models (Q2291315) (← links)
• High-dimensional posterior consistency for hierarchical non-local priors in regression (Q2297241) (← links)
• Bayesian estimation of large precision matrix based on Cholesky decomposition (Q2311706) (← links)
• Subjective Bayesian testing using calibrated prior probabilities (Q2330492) (← links)
• Comparison of Bayesian predictive methods for model selection (Q2361448) (← links)
• Bayesian projection approaches to variable selection in generalized linear models (Q2445776) (← links)
• Nearly optimal Bayesian shrinkage for high-dimensional regression (Q2683046) (← links)
• Additive Bayesian variable selection under censoring and misspecification (Q2684685) (← links)