The EM Algorithm in Multivariate Gaussian Mixture Models using Anderson Acceleration

Over the years analysts have used the EM algorithm to obtain maximum likelihood estimates from incomplete data for various models. The general algorithm admits several appealing properties such as strong global convergence; however, the rate of convergence is linear which in some cases may be unacce...

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Bibliographic Details
Main Author: Plasse, Joshua H
Other Authors: Homer F. Walker, Advisor
Format: Others
Published: Digital WPI 2013
Subjects:
Online Access:https://digitalcommons.wpi.edu/etd-theses/290
https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=1289&context=etd-theses

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