Fabio Sigrist

Economics and Econometrics · 2020

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fabio Sigrist trusts overall

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

  1. Håvard Rue
  2. Daniel A. Griffith
  3. S. Malpezzi
  4. Finn Lindgren
  5. Alan E. Gelfand
  6. Tilmann Gneiting
  7. Roger S. Bivand
  8. Reinhard Furrer
  9. Daniel P. Simpson
  10. Alexander I. Jordan

Papers from Fabio Sigrist's perspective

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

  1. Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors
  2. Spatial Modeling With Spatially Varying Coefficient Processes (Journal of the American Statistical Association)
  3. Strictly Proper Scoring Rules, Prediction, and Estimation
  4. Bayesian Spatial Modelling with R-INLA
  5. Bayesian Computing with INLA: A Review
  6. Constructing Priors that Penalize the Complexity of Gaussian Random Fields (Journal of the American Statistical Association)
  7. Gaussian predictive process models for large spatial data sets (Journal of The Royal Statistical Society Series B-statistical Methodology)
  8. Comparing Implementations of Estimation Methods for Spatial Econometrics
  9. Multicollinearity and correlation among local regression coefficients in geographically weighted regression (Journal of Geographical Systems)
  10. Covariance Tapering for Interpolation of Large Spatial Datasets

Their papers