Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models.
Michael U. GutmannJukka CoranderPublished in: J. Mach. Learn. Res. (2016)
Keyphrases
- statistical models
- bayesian models
- statistical model
- parameter estimation
- maximum likelihood
- statistical modeling
- bayesian networks
- bayesian inference
- posterior probability
- bayesian model
- markov logic
- relational dependency networks
- markov chain monte carlo
- inductive logic programming
- prior probabilities
- statistical methods
- image segmentation
- gaussian processes
- probabilistic inference
- belief networks
- probability models
- generative model