Sampling frames, Bayesian inference and inductive reasoning.
Brett K. HayesStephanie BannerDaniel J. NavarroPublished in: CogSci (2017)
Keyphrases
- bayesian inference
- inductive reasoning
- gibbs sampler
- markov chain monte carlo
- probabilistic model
- prior information
- hyperparameters
- bayesian model
- cognitive functions
- variational bayes
- variational inference
- probabilistic modeling
- data analysis
- hidden variables
- random sampling
- expectation propagation
- statistical inference
- prior distribution
- monte carlo
- hierarchical bayesian
- human brain
- bayesian framework
- sample size
- information processing
- active learning
- training data