Markov-Chain Monte Carlo Approximation of the Ideal Observer using Generative Adversarial Networks.
Weimin ZhouMark A. AnastasioPublished in: CoRR (2020)
Keyphrases
- markov chain monte carlo
- generative model
- exact computation
- markov chain
- parameter estimation
- markov chain monte carlo sampling
- monte carlo
- posterior distribution
- probabilistic model
- posterior probability
- approximate inference
- mixture model
- bayesian inference
- prior knowledge
- bayesian framework
- closed form
- particle filter
- em algorithm
- higher order
- semi supervised
- conditional random fields
- sample size
- feature selection