Daniel Hernandez-Stumpfhauser

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Hernandez-Stumpfhauser trusts overall

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

  1. S. Jammalamadaka
  2. Radford M. Neal
  3. Nicholas I. Fisher
  4. Juergen Landes
  5. David Peel
  6. David J. Spiegelhalter
  7. Arindam Banerjee
  8. Ashis SenGupta
  9. William J. Whiten
  10. Inderjit S. Dhillon

Papers from Daniel Hernandez-Stumpfhauser's perspective

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

  1. Statistical Analysis of Circular Data
  2. Topics in Circular Statistics
  3. Deviance information criteria for missing data models
  4. Bayesian measures of model complexity and fit
  5. Item-based collaborative filtering recommendation algorithms
  6. Directional Statistics, I
  7. Slice Sampling (Annals of Statistics)
  8. Clustering on the Unit Hypersphere using von Mises-Fisher Distributions
  9. Strictly Proper Scoring Rules
  10. Fitting Mixtures of Kent Distributions to Aid in Joint Set Identification

Their papers