Daniel Manrique-Vallier

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Manrique-Vallier trusts overall

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

  1. L. A. Goodman
  2. Hemant Ishwaran
  3. Sanjib Basu
  4. Elena A. Erosheva
  5. Andrew Gelman
  6. Lancelot F. James
  7. Jeroen K. Vermunt
  8. Stephen E. Fienberg
  9. J. Carlin
  10. Cyrille Joutard

Papers from Daniel Manrique-Vallier's perspective

Ordered by how strongly the researchers Daniel Manrique-Vallier trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gibbs Sampling Methods for Stick-Breaking Priors
  2. Exploratory latent structure analysis using both identifiable and unidentifiable models
  3. Bayesian Data Analysis (Technometrics)
  4. A multivariate technique for multiply imputing missing values using a sequence of regression models
  5. Bayesian capture-recapture methods for error detection and estimation of population size: Heterogeneity and dependence
  6. DESCRIBING DISABILITY THROUGH INDIVIDUAL-LEVEL MIXTURE MODELS FOR MULTIVARIATE BINARY DATA.
  7. Latent Class Models
  8. Estimating the Dimension of a Model
  9. Bayesian Density Estimation and Inference Using Mixtures
  10. Estimating normal means with a conjugate style dirichlet process prior

Their papers