Parameter and Structure Learning in Nested Markov Models
Shpitser, I
Richardson, T
Robins, J
Evans, R
(20 Jul 2012)
http://arxiv.org/abs/1207.5058v1
Graphical methods for inequality constraints in marginalized DAGs
Evans, R
(13 Sep 2012)
http://arxiv.org/abs/1209.2978v1
Marginal log-linear parameters for graphical Markov models
Evans, R
Richardson, T
(30 May 2011)
http://arxiv.org/abs/1105.6075v3
Two algorithms for fitting constrained marginal models
Evans, R
Forcina, A
(13 Oct 2011)
http://arxiv.org/abs/1110.2894v3
Markovian acyclic directed mixed graphs for discrete data
Evans, R
Richardson, T
(28 Jan 2013)
http://arxiv.org/abs/1301.6624v4
Causal Inference through a Witness Protection Program
Silva, R
Evans, R
(02 Jun 2014)
http://arxiv.org/abs/1406.0531v2
Smoothness of marginal log-linear parameterizations
Evans, R
(26 Jun 2014)
http://arxiv.org/abs/1406.6766v2
Graphs for margins of Bayesian networks
Evans, R
(08 Aug 2014)
http://arxiv.org/abs/1408.1809v2
Margins of discrete Bayesian networks
Evans, R
(09 Jan 2015)
http://arxiv.org/abs/1501.02103v2
One-Component Regular Variation and Graphical Modeling of Extremes
Hitz, A
Evans, R
(10 Jun 2015)
http://arxiv.org/abs/1506.03402v3