68 citations · 287 across the 26 of their papers we have counts for
Showing 2015 · math.STShow all
2 papers · 2 filters
math.ST2015★ 2 cited
Smooth, identifiable supermodels of discrete DAG models with latent variables
Robin J. Evans, Thomas S. Richardson
We provide a parameterization of the discrete nested Markov model, which is a supermodel that approximates DAG models (Bayesian network models) with latent variables. Such models a…
math.ST2015★ 41 cited
Margins of discrete Bayesian networks
Robin J. Evans
Bayesian network models with latent variables are widely used in statistics and machine learning. In this paper we provide a complete algebraic characterization of Bayesian network…