On the Brittleness of Bayesian Inference.
Houman OwhadiClint ScovelTimothy John SullivanPublished in: SIAM Rev. (2015)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- hyperparameters
- variational inference
- bayesian model
- gibbs sampler
- hidden variables
- hierarchical bayesian
- variational bayes
- probabilistic modeling
- weighted model counting
- markov networks
- bayesian models
- inference process
- statistical inference
- reinforcement learning
- data sets
- random sampling
- particle filter
- probability distribution
- decision trees