Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1154983 | Statistics & Probability Letters | 2006 | 6 Pages |
Abstract
Titterington proposed a recursive parameter estimation algorithm for finite mixture models. However, due to the well known problem of singularities and multiple maximum, minimum and saddle points that are possible on the likelihood surfaces, convergence analysis has seldom been made in the past years. In this paper, under mild conditions, we show the global convergence of Titterington's recursive estimator and its MAP variant for mixture models of full regular exponential family.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Shaojun Wang, Yunxin Zhao,