Convergence results for tractable inference in α-stable stochastic processes.
Marina RiabizTohid ArdeshiriSimon J. GodsillPublished in: DSP (2017)
Keyphrases
- stochastic processes
- random fields
- dynamic bayesian networks
- stochastic process
- probability distribution
- markov processes
- bayesian networks
- probabilistic inference
- markov random field
- random variables
- belief networks
- continuous time bayesian networks
- maximum entropy
- exact inference
- particle filtering
- approximate inference
- conditional random fields
- reinforcement learning