Pages that link to "Item:Q1731759"
From MaRDI portal
The following pages link to Posterior graph selection and estimation consistency for high-dimensional Bayesian DAG models (Q1731759):
Displaying 39 items.
- Strong selection consistency of Bayesian vector autoregressive models based on a pseudo-likelihood approach (Q820793) (← links)
- Gaussian Bayesian network comparisons with graph ordering unknown (Q830485) (← links)
- Posterior graph selection and estimation consistency for high-dimensional Bayesian DAG models (Q1731759) (← links)
- Bayesian inference for high-dimensional decomposable graphs (Q2044345) (← links)
- Bayesian joint inference for multiple directed acyclic graphs (Q2146452) (← links)
- A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions (Q2152553) (← links)
- Joint variable selection and network modeling for detecting eQTLs (Q2195290) (← links)
- Consistent Bayesian sparsity selection for high-dimensional Gaussian DAG models with multiplicative and beta-mixture priors (Q2196119) (← links)
- Bayesian graph selection consistency under model misspecification (Q2214264) (← links)
- Compatible priors for model selection of high-dimensional Gaussian DAGs (Q2215951) (← links)
- Bayesian bandwidth test and selection for high-dimensional banded precision matrices (Q2226705) (← links)
- Minimax posterior convergence rates and model selection consistency in high-dimensional DAG models based on sparse Cholesky factors (Q2284379) (← links)
- Objective Bayes model selection of Gaussian interventional essential graphs for the identification of signaling pathways (Q2291516) (← links)
- High-dimensional posterior consistency for hierarchical non-local priors in regression (Q2297241) (← links)
- A review of Gaussian Markov models for conditional independence (Q2301082) (← links)
- A Gibbs sampler for learning DAG: a unification for discrete and Gaussian domains (Q3389643) (← links)
- Estimating Large Precision Matrices via Modified Cholesky Decomposition (Q4986367) (← links)
- A permutation-based Bayesian approach for inverse covariance estimation (Q5077443) (← links)
- Joint Bayesian Variable and DAG Selection Consistency for High-dimensional Regression Models with Network-structured Covariates (Q5155198) (← links)
- On the non-local priors for sparsity selection in high-dimensional Gaussian DAG models (Q5880097) (← links)
- Discussion to: Bayesian graphical models for modern biological applications by Y. Ni, V. Baladandayuthapani, M. Vannucci and F.C. Stingo (Q5970825) (← links)
- Bayesian inference of causal effects from observational data in Gaussian graphical models (Q6047797) (← links)
- Bayesian group selection in logistic regression with application to MRI data analysis (Q6050939) (← links)
- A Bayesian Subset Specific Approach to Joint Selection of Multiple Graphical Models (Q6069494) (← links)
- Bayesian Model Selection of Gaussian Directed Acyclic Graph Structures (Q6085865) (← links)
- Estimation of Gaussian directed acyclic graphs using partial ordering information with applications to DREAM3 networks and dairy cattle data (Q6104082) (← links)
- Densely connected sub-Gaussian linear structural equation model learning via \(\ell_1\)- and \(\ell_2\)-regularized regressions (Q6113746) (← links)
- Scalable Bayesian high-dimensional local dependence learning (Q6122014) (← links)
- Complexity analysis of Bayesian learning of high-dimensional DAG models and their equivalence classes (Q6136582) (← links)
- Bayesian adaptive Lasso estimation of large graphical model based on modified Cholesky decomposition (Q6152263) (← links)
- Bayesian causal inference in probit graphical models (Q6198362) (← links)
- Development of network-guided transcriptomic risk score for disease prediction (Q6548919) (← links)
- Consistent group selection using nonlocal priors in regression (Q6549170) (← links)
- A new approach for ultrahigh dimensional precision matrix estimation (Q6556783) (← links)
- Consistent skinny Gibbs in probit regression (Q6626714) (← links)
- Bayesian graphical modeling for heterogeneous causal effects (Q6629904) (← links)
- Spectral Clustering, Bayesian Spanning Forest, and Forest Process (Q6631712) (← links)
- A Bayesian approach for learning Bayesian network structures (Q6656892) (← links)
- Bayesian robust learning in chain graph models for integrative pharmacogenomics (Q6665510) (← links)
