Bayesian Inference Causes Incoherence in Human Probability Judgments.
Jian-Qiao ZhuAdam SanbornNicholas ChaterPublished in: CogSci (2019)
Keyphrases
- bayesian inference
- probabilistic model
- hyperparameters
- prior information
- bayesian model
- gibbs sampler
- probability distribution
- statistical inference
- variational inference
- variational bayes
- probabilistic modeling
- expectation propagation
- conditional probabilities
- hierarchical bayesian
- weighted model counting
- hidden variables
- markov chain monte carlo
- prior distribution
- human judgments
- variational approximation
- machine learning