Precise asymptotics for the linear processes generated by associated random variables in Hilbert spaces.
Ke-Ang FuJie LiYa-Juan DongHui ZhouPublished in: Comput. Math. Appl. (2012)
Keyphrases
- random variables
- hilbert spaces
- hilbert space
- graphical models
- probability distribution
- variational inequalities
- latent variables
- bayesian networks
- von neumann
- markov chain
- conditional probabilities
- finite dimensional
- infinite dimensional
- kernel function
- sufficient conditions
- probabilistic inference
- belief propagation
- reproducing kernel hilbert space
- maximum likelihood
- feature vectors
- pairwise
- objective function