65 citations · 156 across the 21 of their papers we have counts for
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math.ST2016
Unifying Markov Properties for Graphical Models
Steffen Lauritzen, Kayvan Sadeghi
Several types of graphs with different conditional independence interpretations --- also known as Markov properties --- have been proposed and used in graphical models. In this pap…
stat.ME2016
Hierarchical Models for Independence Structures of Networks
Kayvan Sadeghi, Alessandro Rinaldo
We introduce a new family of network models, called hierarchical network models, that allow us to represent in an explicit manner the stochastic dependence among the dyads (random…