Florence Forbes

Computer Vision and Pattern Recognition · 2001–2018

A researcher in the Science corpus: 6 papers; trusts 10 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Florence Forbes trusts overall

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

  1. Julian Besag
  2. Arthur P. Dempster
  3. Stuart Geman
  4. Geoffrey J. McLachlan
  5. Gilles Celeux
  6. James S. Hodges
  7. Jean-Michel Marin
  8. David J. Spiegelhalter
  9. MARK A. Beaumont
  10. Nan M. Laird

Who trusts Florence Forbes overall

  1. M. A. Rahman
  2. Mevin B. Hooten
  3. Aki Vehtari
  4. Jimmy de la Torre
  5. Sébastien J. Puechmaille
  6. Clare A. McGrory
  7. Jushan Bai
  8. Brian H Neelon
  9. Zhanpeng Zhang
  10. David J. Spiegelhalter

Papers from Florence Forbes's perspective

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

  1. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  2. Computational and Inferential Difficulties with Mixture Posterior Distributions
  3. Statistical Analysis of Non-Lattice Data
  4. Counting degrees of freedom in hierarchical and other richly-parameterised models
  5. Max-imum Likelihood from Incomplete Data
  6. Bayesian measures of model complexity and fit
  7. Detecting the number of clusters of individuals using the software structure: a simulation study (Molecular Ecology)
  8. Dealing with label switching in mixture models
  9. The Bayesian revolution in genetics (Nature reviews genetics)
  10. Genetic Structure of Human Populations

Their papers