Bayesian parameter inference for partially observed stopped processes.
Ajay JasraNikolas KantasAdam PersingPublished in: Stat. Comput. (2014)
Keyphrases
- partially observed
- bayesian inference
- bayesian networks
- bayesian models
- statistical inference
- decision making
- variational inference
- bayesian model
- parameter settings
- posterior probability
- data driven
- probabilistic inference
- probabilistic model
- posterior distribution
- markov chain monte carlo
- input parameters
- bayesian estimation
- optimal parameters
- dirichlet process mixture models
- belief nets
- learning algorithm
- decision trees
- support vector
- grammatical inference
- expert systems
- prior knowledge
- prior information
- decision theory
- computational models
- maximum likelihood