Elizabeth S. Allman

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Elizabeth S. Allman trusts overall

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

  1. Joseph B. Kruskal
  2. Haikady N. Nagaraja
  3. Yariv Ephraim
  4. Thomas P. Hettmansperger
  5. Peter Hall
  6. Marielle Stoelinga
  7. Kamal Nigam
  8. Neri Merhav
  9. P. Deb
  10. L. A. Goodman

Who trusts Elizabeth S. Allman overall

  1. Hiroyuki Kasahara
  2. Gongjun Xu
  3. John A. Rhodes
  4. Michael Levine
  5. Didier Chauveau
  6. Daniel J. Hsu
  7. Katsumi Shimotsu
  8. Giovanni Compiani
  9. Hermanni Hälvä
  10. Catherine Matias

Papers from Elizabeth S. Allman's perspective

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

  1. An Introduction to Probabilistic Automata (Bull. EATCS)
  2. Estimation and Prediction for Stochastic Blockstructures
  3. Finite Mixture Models
  4. Almost nonparametric inference for repeated measures in mixture models
  5. Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics
  6. Text Classification from Labeled and Unlabeled Documents using EM
  7. Algebraic Statistics for Computational Biology: Preface
  8. A mixture model for random graphs (Statistics and computing)
  9. Inference in hidden Markov models (Springer Series in Statistics)
  10. Inference in Hidden Markov Models

Their papers