Scalable inference for Markov processes with intractable likelihoods.
Jamie OwenDarren J. WilkinsonColin S. GillespiePublished in: Stat. Comput. (2015)
Keyphrases
- markov processes
- random fields
- markov process
- exact inference
- stochastic processes
- markov chain
- continuous time bayesian networks
- non stationary
- probabilistic inference
- bayesian inference
- bayesian networks
- graphical models
- belief networks
- approximate inference
- continuous time markov chains
- dynamic bayesian networks
- random variables
- maximum likelihood
- markov random field
- steady state
- stochastic process
- conditional random fields