Domains of convergence for the EM algorithm: a cautionary tale in a location estimation problem-Reference-Cited by-同舟云学术

Domains of convergence for the EM algorithm: a cautionary tale in a location estimation problem

Published:1993-09 Issue:3 Volume:3 Page:103-108
ISSN:0960-3174
Container-title:Statistics and Computing
language:en
Short-container-title:Stat Comput

Author:

Arslan Olcay,Constable Patrick D. L.,Kent John T.

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science

Link

http://link.springer.com/content/pdf/10.1007/BF00147772.pdf

Reference8 articles.

1. Beaton, A. E. and Tukey, J. W. (1974) The fittinHg of power series, meaning polynomials illustrated on band-spectroscopic data, Technometrics, 16, 147?193.

2. Dempster, A. P., Laird, N. M. and Rubin, D. B. (1977) Maximum likelihood from incomplete data via the EM algorithm (with discussion), Journal of the Royal Statistical Society, B 39, 1?38.

3. Dempster, A. P., Laird, N. M. and Rubin, D. B. (1980) Iteratively reweighted least squares for linear regression where errors are normal/independent distributed, in Multivariate Analysis V (P. R. Krishnaiah, ed.), North-Holland, New York, pp. 35?37.

4. Hampel, F. R., Ronchetti, E. M., Rousseeuw, P. J., and Stahel, W. A. (1986) Robust Statistics: The Approach Based on Influence Functions. Wiley, New York.

5. Huber, P. J. (1981) Robust Statistcs. Wiley, New York.

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