Maximum Likelihood Theory for Incomplete Data from an Exponential Family

By Rolf Sundberg. 2016

125 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/cc17ac6cb336911afb75591ee227494dd46d5ee6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Sivaraman Balakrishnan
2. Martin J. Wainwright
3. Bin Yu
4. John C. Duchi
5. Michael I. Jordan
6. Francis R. Bach
7. Cun-Hui Zhang
8. Tong Zhang

Citations in the corpus

• Model-Based Clustering (2016, background): “…model-based clustering—e.g., Edwards and Cavalli-Sforza (1965), Baum et al. (1970), Scott and Symons (1971), Orchard and Woodbury (1972), and Sundberg (1974)—effectively culminated in the landmark paper by Dempster, Laird and Rubin (1977), wherein the expectation-maximization (EM)…”
• Statistical guarantees for the EM algorithm: From population to sample-based analysis (2014, methodology): “, [5, 6, 18, 19, 37, 40, 41]), before the EM algorithm in its modern general form was introduced by Dempster, Laird and Rubin [17].”