Bayesian regression explains how human participants handle parameter uncertainty.
Jannes JegminatMaya A. JastrzebowskaMatthew V. PachaiMichael H. HerzogJean-Pascal PfisterPublished in: PLoS Comput. Biol. (2020)
Keyphrases
- sparse bayesian learning
- decision theory
- human subjects
- gaussian processes
- dempster shafer
- regression model
- parameter values
- belief functions
- bayesian networks
- relevance vector machine
- bayesian learning
- linear regression
- support vector
- parameter settings
- posterior probability
- parameter space
- model selection
- regression problems
- data driven
- regression algorithm
- probabilistic model
- neural network