Pages that link to "Item:Q5057256"
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The following pages link to The <i>G</i>-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models (Q5057256):
Displaying 7 items.
- A Metropolis-Hastings based method for sampling from the \(G\)-Wishart distribution in Gaussian graphical models (Q1952170) (← links)
- (Q5383684) (← links)
- Bayesian learning of graph substructures (Q6122075) (← links)
- Precision matrix estimation under the horseshoe-like prior-penalty dual (Q6200870) (← links)
- Learning Block Structured Graphs in Gaussian Graphical Models (Q6552531) (← links)
- Joint modeling of association networks and longitudinal biomarkers: an application to childhood obesity (Q6630359) (← links)
- Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison (Q6651425) (← links)