Formalizes pre-data effective sample size for GGMs under Wishart and G-Wishart priors and introduces DPIR and BFDA extensions for sample size planning.
Hyper Inverse Wishart Distribution for Non‐decomposable Graphs and its Application to Bayesian Inference for Gaussian Graphical Models , volume =
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What is your Prior Worth? Effective Sample Size and Sample Size Planning for Gaussian Graphical Models
Formalizes pre-data effective sample size for GGMs under Wishart and G-Wishart priors and introduces DPIR and BFDA extensions for sample size planning.