Biases and Variability from Costly Bayesian Inference.
Arthur Prat-CarrabinFlorent MeynielMisha TsodyksRava Azeredo da SilveiraPublished in: Entropy (2021)
Keyphrases
- bayesian inference
- bayesian models
- probabilistic model
- prior information
- hyperparameters
- bayesian model
- statistical inference
- variational bayes
- inference process
- variational inference
- probabilistic modeling
- particle filter
- gibbs sampler
- markov networks
- markov chain monte carlo
- learning algorithm
- hidden variables
- weighted model counting
- hierarchical bayesian
- least squares