Update Rules for Parameter Estimation in Continuous Time Bayesian Network.
Dongyu ShiJinyuan YouPublished in: PRICAI (2006)
Keyphrases
- parameter estimation
- update rules
- bayesian networks
- structure learning
- parameter learning
- approximate inference
- least squares
- maximum likelihood
- statistical models
- model selection
- markov random field
- markov chain
- particle swarm optimisation
- em algorithm
- probabilistic model
- probabilistic inference
- loss function
- state space
- random fields
- graphical models
- parameter values
- conditional independence
- random variables
- posterior probability
- conditional probabilities
- update rule
- parameter estimation algorithm
- machine learning
- probability distribution
- markov chain monte carlo
- exact inference