Ridge parameter estimation for the linear regression model under different loss functions using T-K approximation.
Qasim RamzanMuhammad Nauman AkramMuhammad AminPublished in: Commun. Stat. Simul. Comput. (2023)
Keyphrases
- parameter estimation
- loss function
- linear regression model
- regression model
- linear regression
- least squares
- regression analysis
- model selection
- pairwise
- maximum likelihood
- markov random field
- squared error
- em algorithm
- loss minimization
- random fields
- posterior distribution
- learning to rank
- approximate inference
- support vector
- statistical models
- risk minimization
- parameter estimation algorithm
- reproducing kernel hilbert space
- maximum likelihood estimation
- convex loss functions
- relative error
- closed form
- semi supervised
- hyperparameters
- cross validation
- expectation maximization
- high dimensional
- bayesian networks