Improving Regression Uncertainty Estimates with an Empirical Prior.
Eric ZelikmanChristopher HealyPublished in: CoRR (2020)
Keyphrases
- regression model
- prior knowledge
- linear regression
- uncertain data
- measurement error
- regression analysis
- confidence intervals
- gaussian process regression
- artificial neural networks
- model selection
- regression problems
- incomplete information
- update equations
- machine learning
- inherent uncertainty
- decision theory
- gaussian processes
- maximum a posteriori
- support vector
- bayesian networks
- feature selection
- genetic algorithm