Neural representation of probabilities for Bayesian inference.
Dylan RichFanny CazettesYunyan WangJosé Luis PeñaBrian J. FischerPublished in: J. Comput. Neurosci. (2015)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- inference process
- hyperparameters
- probabilistic modeling
- variational inference
- neural network
- weighted model counting
- hierarchical bayesian
- bayesian model
- statistical inference
- gibbs sampler
- variational bayes
- network architecture
- markov networks
- expectation propagation
- data sets
- prior distribution
- markov chain monte carlo