Prior-informed Uncertainty Modelling with Bayesian Polynomial Approximations.
Chun Yui WongPranay SeshadriAndrew B. DuncanAshley ScillitoeGeoffrey T. ParksPublished in: CoRR (2022)
Keyphrases
- decision theory
- prior distribution
- low order
- dempster shafer
- prior knowledge
- bayesian methods
- bayesian model
- bayesian inference
- uncertain data
- bayesian decision
- conditional probabilities
- bayesian framework
- prior probabilities
- high order
- posterior probability
- closed form
- belief functions
- expected utility
- robust optimization
- bayesian analysis
- conjugate priors
- probability theory
- posterior distribution
- prior information
- maximum likelihood
- bayesian networks
- artificial intelligence
- possibility theory
- bayesian estimation
- maximum a posteriori
- probabilistic model
- expectation propagation
- dirichlet prior
- data sets