From: Hierarchical Bayesian adaptive lasso methods on exponential random graph models
 | Methods |
---|---|
Method A: | Full Bayes with a \(\lambda _{j} \sim \text { Gamma } (r, \delta _j),j=1,2,\cdots ,p\) |
Method B: | Partial empirical Bayes with an empirical update of \(\varvec{\delta }=(\delta _1,\delta _2,\cdots ,\delta _p)\) |
Method C: | Full empirical Bayes with an empirical update of \(\varvec{\lambda }=(\lambda _1,\lambda _2,\cdots ,\lambda _p)\) |