Variable selection in finite mixture of location and mean regression models using skew-normal distribution.
Danlu WangXin ZengLiucang WuPublished in: Commun. Stat. Simul. Comput. (2023)
Keyphrases
- regression model
- variable selection
- normal distribution
- model selection
- mixture model
- cross validation
- logistic regression models
- probability density function
- input variables
- high dimensional
- standard deviation
- gaussian distribution
- covariance matrix
- linear models
- random variables
- sample size
- probability distribution
- linear model
- dimension reduction
- feature selection
- high dimensional data
- machine learning
- lead time
- prediction model
- gaussian mixture model
- neural network
- expectation maximization
- nearest neighbor
- markov random field
- unsupervised learning
- association rules
- support vector
- markov blanket