The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
The EM algorithm for graphical association models with missing data
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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
Proceedings of the 19th International Joint Conference on Artificial Intelligence
Pujol, J. M., Delgado, J., Ramon Sangüesa, A., & Flache, A. (2005) · International Joint Conference on Artificial Intelligence · Cited by 5,771
Maximum likelihood estimation from incomplete data via the EM algorithm
Dempster, A. P. (1977) · Journal of the Royal Statistical Society Series A (Statistics in Society) · Cited by 4,543
Lauritzen, S. L., & Spiegelhalter, D. J. (1988) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1988.tb01721.x · Cited by 3,902
Self-citationOn the Convergence Properties of the EM Algorithm
Wu, C. F. J. (1983) · The Annals of Statistics · doi:10.1214/aos/1176346060 · Cited by 3,269
Mayer, T. F., Lazarsfeld, P. F., & Henry, N. W. (1969) · American Sociological Review · doi:10.2307/2092222 · Cited by 2,384
Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm
Dawid, A. P., & Skene, A. M. (1979) · Applied Statistics · doi:10.2307/2346806 · Cited by 1,623
Construction of multilocus genetic linkage maps in humans.
Lander, E. S., & Green, P. (1987) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.84.8.2363 · Cited by 1,428
Uncertainty in Artificial Intelligence
(1992) · Elsevier eBooks · doi:10.1016/c2013-0-12606-2 · Cited by 1,425
Generalized Iterative Scaling for Log-Linear Models
Darroch, J. N., & Ratcliff, D. (1972) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177692379 · Cited by 1,206
Cited by
Data mining: concepts and techniques
(2012) · Choice Reviews Online · doi:10.5860/choice.49-3305 · Cited by 28,531
Friedman, N., Geiger, D., & Goldszmidt, M. (1997) · Machine Learning · doi:10.1023/a:1007465528199 · Cited by 4,742
Artificial Intelligence: A New Synthesis
(1998) · Elsevier eBooks · doi:10.1016/c2009-0-27773-7 · Cited by 1,163
Advantages and challenges of Bayesian networks in environmental modelling
Uusitalo, L. (2007) · Ecological Modelling · doi:10.1016/j.ecolmodel.2006.11.033 · Cited by 1,118
A differential approach to inference in Bayesian networks
Darwiche, A. (2003) · Journal of the ACM · doi:10.1145/765568.765570 · Cited by 470
Metadata
- Authors
- Lauritzen, S. L.
- Venue
- Computational Statistics & Data Analysis
- Publisher
- Elsevier BV
- Published
- 1995-02
- Volume
- 19
- Issue
- 2
- Pages
- 191-201
- ISSN
- 0167-9473 (ISSN-L)
- OpenAlex
- W2132434674
- Cited by
- 760
- References
- 44
- FWCI
- 12.45
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lauritzen, S. L. (1995). The EM algorithm for graphical association models with missing data. Computational Statistics & Data Analysis. https://doi.org/10.1016/0167-9473(93)e0056-a
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
