Hans Julius Skaug

Statistics and Probability · 2002–2017

A researcher in the Science corpus: 7 papers; trusts 21 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Hans Julius Skaug trusts overall

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

  1. Arthur P. Dempster
  2. Stephen Raudenbush
  3. Andreas Griewank
  4. Julian Besag
  5. Nan M. Laird
  6. Philippe Huber
  7. Donald B. Rubin
  8. Andrea Walther
  9. David L. Borchers
  10. Håvard Rue

Who trusts Hans Julius Skaug overall

  1. G. Aarts
  2. X. Harrison
  3. Mark N. Maunder
  4. Monique Lea Mackenzie
  5. Casper W. Berg
  6. Bernie McConnell
  7. Anders Nielsen
  8. T. J. Miller
  9. K. Piner
  10. Kasper Kristensen

Papers from Hans Julius Skaug's perspective

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

  1. Generalized Linear Models
  2. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
  3. Maximum Likelihood for Generalized Linear Models with Nested Random Effects via High-Order, Multivariate Laplace Approximation
  4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  5. Generalized linear mixed models: a practical guide for ecology and evolution. (Trends in Ecology & Evolution)
  6. Fitting Linear Mixed-Effects Models Using lme4
  7. Statistical Analysis of Non-Lattice Data
  8. MCMC methods for multi-response generalized linear mixed models
  9. Zero-inflated Poisson regression, with an application to defects in manufacturing
  10. A useful distribution for fitting discrete data: revival of the Conway–Maxwell–Poisson distribution

Their papers