The Expectation-Maximization approach for Bayesian quantile regression.
Kaifeng ZhaoHeng LianPublished in: Comput. Stat. Data Anal. (2016)
Keyphrases
- quantile regression
- expectation maximization
- maximum likelihood
- cross validated
- least squares
- em algorithm
- posterior distribution
- parameter estimation
- log likelihood
- mixture model
- maximum a posteriori
- bayesian networks
- response variable
- generative model
- image segmentation
- probabilistic model
- probability density function
- cross validation
- density estimation
- gaussian mixture model
- bayesian inference
- linear regression
- machine learning