Three ways of implementing the EM algorithm when parameters are not identifiable

Three ways of implementing the EM algorithm when parameters are not identifiable

Biometrical Journal

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Bibliographic Details
Main Authors: Yung Cheung Kuk, A., So Kuen Chan, J.
Other Authors: STATISTICS & APPLIED PROBABILITY
Format: Article
Published: 2014
Subjects:
Identifiability constraints
Incomplete data
Monte Carlo methods
Multivariate order statistics models
Multivariate probit regression
Online Access:http://scholarbank.nus.edu.sg/handle/10635/105432
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Institution: National University of Singapore

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http://scholarbank.nus.edu.sg/handle/10635/105432

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