Interpreting a Penalty as the Influence of a Bayesian Prior.
Pierre WolinskiGuillaume CharpiatYann OllivierPublished in: CoRR (2020)
Keyphrases
- prior distribution
- bayesian methods
- prior probabilities
- bayesian model
- prior knowledge
- bayesian analysis
- bayesian inference
- posterior probability
- maximum a posteriori
- data driven
- objective function
- bayesian decision
- bayesian networks
- case study
- conjugate priors
- maximum likelihood
- model selection
- prior information
- gaussian processes
- penalty function
- bayesian learning
- individual differences
- posterior distribution
- model averaging
- fully bayesian
- information diffusion
- factors influencing
- data mining
- multi agent
- multiscale
- decision trees
- machine learning