Maximum Likelihood from Incomplete Data via the EM Algorithm.¶
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum Likelihood from Incomplete Data via the EM Algorithm. Journal of the Royal Statistical Society, Series B, 39(1), 1-38.
Cited by¶
1 citation across 1 artifact.
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Primes¶
- Imputation
- The expectation-maximization algorithm, an imputation-based fitting procedure for incomplete data, transfers across latent-class models, hidden Markov models, and factor analysis, all instantiating the same impute-then-fit cycle.
This sourceThe expectation-maximization algorithm — an impute-then-fit cycle transferring across latent-class, hidden-Markov, and factor-analysis models.
- The expectation-maximization algorithm, an imputation-based fitting procedure for incomplete data, transfers across latent-class models, hidden Markov models, and factor analysis, all instantiating the same impute-then-fit cycle.
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