MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes.
Mario BerahaRaffaele ArgientoJesper MøllerAlessandra GuglielmiPublished in: J. Comput. Graph. Stat. (2022)
Keyphrases
- mixture model
- point processes
- monte carlo
- markov chain monte carlo
- generative model
- posterior distribution
- maximum likelihood
- posterior probability
- probabilistic model
- em algorithm
- dirichlet prior
- bayesian inference
- dirichlet process
- expectation maximization
- gaussian mixture model
- parameter estimation
- hot spots
- hyperparameters
- model selection
- markov chain
- density estimation
- probability density function
- unsupervised learning
- prior distribution
- variational inference
- bayesian framework
- language model
- bayesian networks
- spatial analysis
- mixture modeling
- maximum a posteriori
- particle filter
- graphical models
- prior knowledge
- information retrieval
- automatic model selection
- generalized em algorithm
- gaussian processes
- probability distribution
- feature selection