Didier Chauveau

Statistics and Probability · 2009–2015

A researcher in the Science corpus: 4 papers; trusts 27 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Didier Chauveau trusts overall

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

  1. David R. Hunter
  2. Thomas P. Hettmansperger
  3. Bernard Walter Silverman
  4. Tatiana Benaglia
  5. Peter Hall
  6. Joseph B. Kruskal
  7. Elizabeth S. Allman
  8. Laurent Bordes
  9. Friedrich Leisch
  10. Michael Levine

Who trusts Didier Chauveau overall

  1. David R. Hunter
  2. Michael Levine
  3. Eleni Sgouritsa
  4. S. Bonhomme
  5. Derek S. Young
  6. Tatiana Benaglia
  7. Dominik Janzing
  8. Hiroyuki Kasahara
  9. M. Hickendorff

Papers from Didier Chauveau's perspective

Ordered by how strongly the researchers Didier Chauveau 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. Finite Mixture Models
  3. Almost nonparametric inference for repeated measures in mixture models
  4. NONPARAMETRIC ESTIMATION OF COMPONENT DISTRIBUTIONS IN A MULTIVARIATE MIXTURE
  5. Nonparametric inference in multivariate mixtures
  6. Estimating the Dimension of a Model
  7. Adaptive Mixtures of Local Experts
  8. Text Classification from Labeled and Unlabeled Documents using EM
  9. Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics
  10. Assessing a Mixture Model for Clustering with the Integrated Completed Likelihood (IEEE Transactions on Pattern Analysis and Machine Intelligence)

Their papers