A Constrained Formulation of Maximum-Likelihood Estimation for Normal Mixture Distributions
正态混合分布最大似然估计的约束表述
The method of maximum likelihood leads to an ill-posed optimization problem in the case of a mixture of normal distributions. Estimation in the univariate case is reformulated using simple constraints into an optimization problem having a strongly consistent, global solution.