Thomas Kneib

Statistics and Probability · 2004–2021

A researcher in the Science corpus: 27 papers; trusts 129 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Kneib trusts overall

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

  1. Ludwig Fahrmeir
  2. Stefan Lang
  3. Andreas Brezger
  4. David Ruppert
  5. Dani Gamerman
  6. Alan Y. Chiang
  7. Matt P. Wand
  8. Tilmann Gneiting
  9. Robert A. Rigby
  10. Håvard Rue

Who trusts Thomas Kneib overall

  1. N. Klein
  2. Ludwig Fahrmeir
  3. Simon N. Wood
  4. Stefan Lang
  5. Andrea Hennerfeind
  6. M. José Lombardía
  7. Håvard Rue
  8. Torsten Hothorn
  9. Linda Schulze Waltrup
  10. Paul H. C. Eilers

Papers from Thomas Kneib's perspective

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

  1. Generalized Linear Models
  2. Regression Shrinkage and Selection via the Lasso
  3. Estimating the Dimension of a Model
  4. Spline Models for Observational Data
  5. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
  6. Strictly Proper Scoring Rules, Prediction, and Estimation
  7. Generalized Additive Models
  8. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  9. Conservative prior distributions for variance parameters in hierarchical models
  10. Bayesian inference for generalized additive mixed models based on Markov random field priors

Their papers