86 citations · 467 across the 40 of their papers we have counts for
3 papers · 1 filter
Graph quilting: graphical model selection from partially observed covariances
Giuseppe Vinci, Gautam Dasarathy, Genevera I. Allen
Graphical model selection is a seemingly impossible task when many pairs of variables are never jointly observed; this requires inference of conditional dependencies with no observ…
A General Framework for Mixed Graphical Models
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen +3
"Mixed Data" comprising a large number of heterogeneous variables (e.g. count, binary, continuous, skewed continuous, among other data types) are prevalent in varied areas such as…
On Graphical Models via Univariate Exponential Family Distributions
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen +1
Undirected graphical models, or Markov networks, are a popular class of statistical models, used in a wide variety of applications. Popular instances of this class include Gaussian…