A Bayesian Joint Modeling Using Gaussian Linear Latent Variables for Mixed Correlated Outcomes with Possibility of Missing Values.
Sayed Jamal MirkamaliMojtaba GanjaliPublished in: J. Stat. Theory Appl. (2016)
Keyphrases
- missing values
- latent variables
- posterior distribution
- hidden variables
- hyperparameters
- missing data
- probabilistic model
- multiple imputation
- random variables
- latent variable models
- incomplete data
- maximum likelihood
- data imputation
- high dimensional data
- approximate inference
- gaussian process
- prior knowledge
- bayesian networks
- topic models
- markov chain monte carlo
- probability distribution
- feature selection
- missing attribute values
- data sets
- support vector machine
- pattern recognition
- linear models
- max margin
- data mining