Acceleration of the EM and ECM algorithms using the Aitken δ2 method for log-linear models with partially classified data-Reference-Cited by-同舟云学术

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Acceleration of the EM and ECM algorithms using the Aitken δ2 method for log-linear models with partially classified data

Published:2008-10 Issue:15 Volume:78 Page:2332-2338
ISSN:0167-7152
Container-title:Statistics & Probability Letters
language:en
Short-container-title:Statistics & Probability Letters

Author:

Kuroda Masahiro,Sakakihara Michio,Geng Zhi

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference11 articles.

1. On Bernoulli’s numerical solution of algebraic equations;Aitken;Proc. R. Soc. Edinburgh,1926

2. Discrete Multivariate Analysis: Theory and Practice;Bishop,1975

3. Extrapolation Methods: Theory and Practice;Brezinski,1991

4. Analysis of multivariate categorical data with misclassification errors by triple sampling schemes;Chen;J. Statist. Planing and Inference,1984

5. Maximum likelihood from incomplete data via the EM algorithm;Dempster;J. Roy. Statist. Soc. Ser. B,1977

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Acceleration of the EM algorithm using the Vector Aitken method and its Steffensen form;Acta Mathematicae Applicatae Sinica, English Series;2017-02

2. Acceleration of Expectation-Maximization algorithm for length-biased right-censored data;Lifetime Data Analysis;2016-07-07

3. Multi-User Detection Analysis via Aitken-δ² EM Acceleration Algorithm;Advanced Materials Research;2011-04

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