Convergence;
finite mixture model;
maximum likelihood;
sequential estimation;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
We investigate the use of a dynamic form of the EM algorithm to estimate proportions in finite mixtures of known distributions. We prove a consistency result for this algorithm, which employs only a single EM update for each new observation. Our aim is to demonstrate that the slow convergence rate of the EM algorithm in many applications is of little practical consequence in a situation when data is frequently being updated.