The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Finding the Observed Information Matrix When Using the EM Algorithm
Abstract
Summary: A procedure is derived for extracting the observed information matrix when the EM algorithm is used to find maximum likelihood estimates in incomplete data problems. The technique requires computation of a complete-data gradient vector or second derivative matrix, but not those associated with the incomplete data likelihood. In addition, a method useful in speeding up the convergence of the EM algorithm is developed. Two examples are presented.
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Citations
Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
EFRON, B., & HINKLEY, D. V. (1978) · Biometrika · doi:10.1093/biomet/65.3.457 · Cited by 952
Nonparametric maximum likelihood estimation of a mixing distribution
Laird, N. (1978) · Journal of the American Statistical Association · doi:10.1080/01621459.1978.10480103 · Cited by 753
Cited by
Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning
Sun, Y., Babu, P., & Palomar, D. P. (2017) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2016.2601299 · Cited by 1,820
Modeling the Drop-Out Mechanism in Repeated-Measures Studies
Little, R. J. A. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476615 · Cited by 1,522
A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms
Wei, G. C. G., & Tanner, M. A. (1990) · Journal of the American Statistical Association · doi:10.1080/01621459.1990.10474930 · Cited by 1,453
The EM Algorithm—an Old Folk-song Sung to a Fast New Tune
Meng, X.-L., & Van Dyk, D. (1997) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00082 · Cited by 802
Estimating Multiple Classification Latent Class Models
Maris, E. (1999) · Psychometrika · doi:10.1007/bf02294535 · Cited by 417
Metadata
- Authors
- Louis, T. A.
- Venue
- Journal of the Royal Statistical Society Series B: Statistical Methodology
- Publisher
- Oxford University Press (OUP)
- Published
- 1982-01-01
- Volume
- 44
- Issue
- 2
- Pages
- 226-233
- ISSN
- 1369-7412 (ISSN-L)
- 1467-9868
- OpenAlex
- W2029761439
- Cited by
- 2,229
- References
- 3
- FWCI
- 5.69
- Type
- journal article
- Language
- en
- Open access
- closed
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