Signal propagation in Bayesian networks and its relationship with intrinsically multivariate predictive variables.
David Correa Martins Jr.Evaldo Araújo de OliveiraUlisses M. Braga-NetoRonaldo Fumio HashimotoRoberto Marcondes Cesar Jr.Published in: Inf. Sci. (2013)
Keyphrases
- bayesian networks
- variable elimination
- bayesian network structure
- conditional probabilities
- junction tree
- structure learning algorithm
- markov blanket
- random variables
- bayesian network structures
- causal relationships
- hidden variables
- conditional independencies
- continuous variables
- conditional dependence
- conditional independence
- independent variables
- granger causality
- learning bayesian networks
- bayesian network inference
- independence relations
- probabilistic model
- graphical models
- signal processing
- regression model
- multivariate data
- multivariate time series
- frequency domain
- impulse response
- non stationary
- high frequency
- incomplete data
- conditional probability tables
- signal detection
- dependence structure
- bayesian network models
- original signal
- heart rate
- probabilistic reasoning
- causal models
- variable selection
- probability distribution
- causal bayesian networks
- observable variables
- multivariate regression
- inference in bayesian networks
- scaling factors
- bayesian belief networks
- structural model
- structure learning
- markov networks
- approximate inference
- statistical tests
- expert knowledge