An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model.
Xiaonan ZhuZheng WeiTonghui WangS. T. Boris ChoyZiwei MaPublished in: Comput. Stat. (2024)
Keyphrases
- objective function
- probabilistic model
- recognition algorithm
- mathematical model
- learning algorithm
- algorithm employs
- theoretical analysis
- algorithm has been developed
- input data
- similarity measure
- final result
- prior information
- detection algorithm
- cost function
- np hard
- optimization algorithm
- k means
- selection algorithm
- tree structure
- optimal solution
- preprocessing
- convergence rate
- classification algorithm
- dynamic programming
- optimization method
- monte carlo
- bayesian framework
- energy function
- clustering method
- optimization model
- multiple models
- probability distribution
- linear programming
- stochastic simulation
- expectation maximization