Extended variational inference for Dirichlet process mixture of Beta-Liouville distributions for proportional data modeling.
Yuping LaiWenbo GuanLijuan LuoQiang RuanYuan PingHeping SongHongying MengYu PanPublished in: Int. J. Intell. Syst. (2022)
Keyphrases
- data modeling
- variational inference
- hierarchical bayesian
- exponential family
- bayesian inference
- database design
- data model
- closed form
- posterior distribution
- topic models
- probabilistic graphical models
- gaussian process
- probability distribution
- mixture model
- probabilistic model
- graphical models
- latent dirichlet allocation
- variational methods
- log likelihood
- missing values
- exact inference
- statistical models
- random variables
- maximum likelihood
- approximate inference
- information retrieval
- density estimation
- em algorithm
- co occurrence
- probability density function
- databases
- image reconstruction
- generative model
- gibbs sampling
- data mining