Mean estimation and regression under heavy-tailed distributions-a survey.
Gábor LugosiShahar MendelsonPublished in: CoRR (2019)
Keyphrases
- heavy tailed distributions
- nonparametric regression
- regression model
- ordinary least squares
- semi parametric
- estimation problems
- simple linear
- linear regression
- genetic algorithm
- robust regression
- regression method
- support vector regression
- neural network
- regression analysis
- regression problems
- accurate estimation
- model selection
- least squares
- support vector
- total least squares
- bayesian networks
- polynomial regression
- case study
- artificial intelligence