Michael Levine

Statistics and Probability · with Brown · 2007–2015

A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Levine trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. David R. Hunter
  2. Joseph B. Kruskal
  3. Thomas P. Hettmansperger
  4. Tatiana Benaglia
  5. Kenneth L. Lange
  6. Hiroyuki Kasahara
  7. Peter Hall
  8. Elizabeth S. Allman
  9. Didier Chauveau
  10. Katsumi Shimotsu

Who trusts Michael Levine overall

  1. David R. Hunter
  2. S. Bonhomme
  3. Hiroyuki Kasahara
  4. Didier Chauveau
  5. Elisabeth Gassiat
  6. Eleni Sgouritsa
  7. Tommaso Cai
  8. Derek S. Young
  9. Katsumi Shimotsu
  10. Lie Wang

Papers from Michael Levine's perspective

Ordered by how strongly the researchers Michael Levine trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  2. Almost nonparametric inference for repeated measures in mixture models
  3. NONPARAMETRIC ESTIMATION OF COMPONENT DISTRIBUTIONS IN A MULTIVARIATE MIXTURE
  4. Nonparametric inference in multivariate mixtures
  5. Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics
  6. Identifiability of parameters in latent structure models with many observed variables
  7. Text Classification from Labeled and Unlabeled Documents using EM
  8. Maximum smoothed likelihood for multivariate mixtures
  9. Optimization Transfer Using Surrogate Objective Functions
  10. Finite Mixture Models

Their papers