Introduction to "Scalable inference for Markov processes with intractable likelihoods" by J. Owen, D. Wilkinson, C. Gillespie.
Robin J. RyderPublished in: Stat. Comput. (2015)
Keyphrases
- markov processes
- random fields
- exact inference
- markov chain
- markov process
- continuous time bayesian networks
- stochastic processes
- non stationary
- random variables
- bayesian networks
- graphical models
- probabilistic inference
- continuous time markov chains
- hidden markov models
- dynamic bayesian networks
- bayesian inference
- conditional random fields
- maximum likelihood
- belief networks
- maximum entropy
- stochastic process
- markov random field
- probability distribution