Risk Comparison of Improved Estimators in a Linear Regression Model with Multivariate t Errors under Balanced Loss Function.
Guikai HuQingguo LiShenghua YuPublished in: J. Appl. Math. (2014)
Keyphrases
- loss function
- linear regression model
- empirical risk
- regression model
- regression analysis
- pairwise
- logistic regression
- linear regression
- learning to rank
- boosting framework
- risk minimization
- support vector
- regularization term
- stochastic gradient descent
- interval valued data
- ridge regression
- reproducing kernel hilbert space
- prediction error
- linear svm
- binary classification
- solution path
- precision and recall
- bayes rule
- statistical analysis
- multi class