A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models.
Beilun WangRitambhara SinghYanjun QiPublished in: CoRR (2016)
Keyphrases
- graphical models
- belief propagation
- gaussian graphical models
- probabilistic graphical models
- probabilistic model
- approximate inference
- random variables
- conditional random fields
- probabilistic inference
- structure learning
- markov networks
- message passing
- map inference
- conditional independence
- loopy belief propagation
- directed acyclic
- bayesian networks
- factor graphs
- objective function
- belief networks
- statistical inference
- graph structure
- maximum likelihood