Mathematics
3 years ago

New algorithm revolutionizes solving nonlinear equations with missing data.

1 view
International Journal of Research and Review
Maximum Likelihood Estimation using the EM Algorithm
Ahsène Lanani

Paper Summary

The article discusses how the EM algorithm is used to estimate parameters in a linear mixed model, even when data is missing. The algorithm helps solve complex equations and estimate the variance-covariance matrix, which doesn't have to be linear.

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