Almost Sure Convergence of Titterington's Recursive Estimator for Finite Mixture Models
Document Type
Article
Publication Date
2006
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. r 2006 Elsevier B.V. All rights reserved.
Repository Citation
Wang, S.,
& Zhao, Y.
(2006). Almost Sure Convergence of Titterington's Recursive Estimator for Finite Mixture Models. Statistics and Probability Letters, 76 (18), 2001-2006.
https://corescholar.libraries.wright.edu/knoesis/107
DOI
10.1016/j.spl.2006.05.017
