Maximum Likelihood from Incomplete Data Via the EM Algorithm
Maximum Likelihood from Incomplete Data Via the EM Algorithm is a scholarly work by Arthur P. Dempster, Nan Laird, and Donald B. Rubin, published in 1977 in ''Journal of the Royal Statistical Society. Series B: Methodological''. The main subjects of the publication include computer science, system identification, maximum likelihood estimation, algorithm, incomplete data, expectation–maximization algorithm, Gaussian process, and regularization. Summary A broadly applicable algorithm for computing maximum likelihood estimates from incomplete data is presented at various levels of generality.