Improving Markov Chain Monte Carlo Estimation with Agent-Based Models.
Rahmatollah BeheshtiGita SukthankarPublished in: SBP (2013)
Keyphrases
- markov chain monte carlo
- parameter estimation
- agent based models
- posterior distribution
- markov chain
- monte carlo
- bayesian inference
- generative model
- complex systems
- posterior probability
- approximate inference
- maximum likelihood
- multi agent
- particle filtering
- particle filter
- data association
- markov random field
- simulation model
- non stationary
- computer vision
- model selection
- simulated annealing
- probabilistic model
- image segmentation