Pages that link to "Item:Q5357663"
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The following pages link to Objective Bayes Covariate‐Adjusted Sparse Graphical Model Selection (Q5357663):
Displaying 21 items.
- Gaussian Bayesian network comparisons with graph ordering unknown (Q830485) (← links)
- Prior distributions for objective Bayesian analysis (Q1631565) (← links)
- Learning Markov equivalence classes of directed acyclic graphs: an objective Bayes approach (Q1631609) (← links)
- Posterior graph selection and estimation consistency for high-dimensional Bayesian DAG models (Q1731759) (← 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)
- Compatible priors for model selection of high-dimensional Gaussian DAGs (Q2215951) (← links)
- Equivalence class selection of categorical graphical models (Q2242176) (← links)
- Structural learning of contemporaneous dependencies in graphical VAR models (Q2291312) (← links)
- Objective Bayes model selection of Gaussian interventional essential graphs for the identification of signaling pathways (Q2291516) (← links)
- Bayesian sparse covariance decomposition with a graphical structure (Q2631381) (← links)
- Bayesian Structure Learning in Multilayered Genomic Networks (Q4999136) (← links)
- Discussion to: Bayesian graphical models for modern biological applications by Y. Ni, V. Baladandayuthapani, M. Vannucci and F.C. Stingo (Q5970825) (← links)
- Objective methods for graphical structural learning (Q6067698) (← links)
- A loss‐based prior for Gaussian graphical models (Q6081851) (← links)
- Bayesian Model Selection of Gaussian Directed Acyclic Graph Structures (Q6085865) (← links)
- Calibrated Bayes factors under flexible priors (Q6091268) (← links)
- Estimation of Gaussian directed acyclic graphs using partial ordering information with applications to DREAM3 networks and dairy cattle data (Q6104082) (← links)
- High-dimensional covariance estimation for Gaussian directed acyclic graph models with given order (Q6601077) (← links)
- Bayesian learning of multiple directed networks from observational data (Q6617424) (← links)
- Bayesian robust learning in chain graph models for integrative pharmacogenomics (Q6665510) (← links)
