Moment-Based Variational Inference for Markov Jump Processes.
Christian WildnerHeinz KoepplPublished in: CoRR (2019)
Keyphrases
- variational inference
- markov chain
- bayesian inference
- posterior distribution
- gaussian process
- probabilistic graphical models
- probabilistic model
- topic models
- variational methods
- mixture model
- closed form
- latent dirichlet allocation
- exact inference
- factor graphs
- approximate inference
- exponential family
- state space
- hyperparameters
- probability distribution
- cross validation
- expectation maximization