High-dimensional Mixed Graphical Model with Ordinal Data: Parameter Estimation and Statistical Inference.
Huijie FengYang NingPublished in: AISTATS (2019)
Keyphrases
- parameter estimation
- statistical inference
- graphical models
- ordinal data
- high dimensional
- model selection
- probabilistic model
- belief propagation
- approximate inference
- random variables
- least squares
- maximum likelihood
- low dimensional
- expectation maximization
- markov random field
- variable selection
- probabilistic inference
- probabilistic graphical models
- structure learning
- em algorithm
- belief networks
- conditional random fields
- dimensionality reduction
- markov networks
- exact inference
- random fields
- bayesian networks
- cross validation
- statistical models
- conditional independence
- feature space
- regression model
- high dimensional data
- manifold learning
- factor graphs
- pairwise
- data points
- prior knowledge
- posterior distribution
- image processing
- markov chain monte carlo