56 citations · 87 across the 29 of their papers we have counts for
3 papers · 1 filter
Combinatorial and algebraic perspectives on the marginal independence structure of Bayesian networks
Danai Deligeorgaki, Alex Markham, Pratik Misra +1
We consider the problem of estimating the marginal independence structure of a Bayesian network from observational data, learning an undirected graph we call the unconditional depe…
Permutation-based Causal Inference Algorithms with Interventions
Yuhao Wang, Liam Solus, Karren Dai Yang +1
Learning directed acyclic graphs using both observational and interventional data is now a fundamentally important problem due to recent technological developments in genomics that…
Monte Carlo goodness-of-fit tests for degree corrected and related stochastic blockmodels
Vishesh Karwa, Debdeep Pati, Sonja Petrović +6
We construct Bayesian and frequentist finite-sample goodness-of-fit tests for three different variants of the stochastic blockmodel for network data. Since all of the stochastic bl…