A semiparametric scale-mixture regression model and predictive recursion maximum likelihood.
Ryan MartinZhen HanPublished in: Comput. Stat. Data Anal. (2016)
Keyphrases
- semi parametric
- regression model
- maximum likelihood
- mixture model
- expectation maximization
- gaussian distribution
- multivariate regression
- density estimation
- model selection
- response variable
- gaussian process
- linear model
- gaussian mixture model
- regression analysis
- em algorithm
- generalized linear models
- support vector regression
- prediction model
- explanatory variables
- hyperparameters
- interval valued data
- least squares
- statistical inference
- constrained optimization
- bayesian networks
- training data
- image segmentation
- data mining