A novel Bayesian approach for latent variable modeling from mixed data with missing values.
Ruifei CuiIoan Gabriel BucurPerry GrootTom HeskesPublished in: Stat. Comput. (2019)
Keyphrases
- missing values
- latent variables
- mixed data
- missing data
- hidden variables
- incomplete data
- data imputation
- missing data imputation
- high dimensional data
- latent variable models
- random variables
- probabilistic model
- prior knowledge
- gaussian process
- data compression
- topic models
- image segmentation
- imputation methods
- training data
- learning algorithm
- data sets