Daniel Turek

Artificial Intelligence · 2015

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 Turek trusts overall

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

  1. Sumio Watanabe
  2. Simon N. Wood
  3. David J. Lunn
  4. David J. Spiegelhalter
  5. Andrew Gelman
  6. Håvard Rue
  7. Tiark Rompf
  8. Heikki Haario
  9. Edward L. Ionides
  10. N. G. Best

Who trusts Daniel Turek overall

  1. Christopher Nemeth

Papers from Daniel Turek's perspective

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

  1. Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
  2. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
  3. WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
  4. Hierarchical Modeling and Analysis for Spatial Data
  5. Bayesian computing with INLA: New features (Computational Statistics & Data Analysis)
  6. Fractals and Statistics: An R Package Called IFS
  7. An adaptive Metropolis algorithm
  8. Understanding predictive information criteria for Bayesian models (Statistics and computing)
  9. AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models (Optim. Methods Softw.)
  10. Markov chain Monte Carlo without likelihoods

Their papers