Enrique ter Horst

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Enrique ter Horst trusts overall

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

  1. David B. Dunson
  2. S. MacEachern
  3. Radford M. Neal
  4. Simon J. Sheather
  5. Hemant Ishwaran
  6. Jim E. Griffin
  7. Gordon K. Smyth
  8. Matthew West
  9. Lancelot F. James
  10. Mark F. J. Steel

Papers from Enrique ter Horst's perspective

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

  1. Estimating normal means with a conjugate style dirichlet process prior
  2. Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems
  3. Bayesian Density Estimation and Inference Using Mixtures
  4. Modelling Heterogeneity With and Without the Dirichlet Process
  5. Markov Chain Sampling Methods for Dirichlet Process Mixture Models
  6. Gibbs Sampling Methods for Stick-Breaking Priors
  7. An ANOVA Model for Dependent Random Measures
  8. Order-Based Dependent Dirichlet Processes
  9. Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing
  10. Bayesian infinite mixture model based clustering of gene expression profiles (Bioinform.)

Their papers