Maria Grazia Pennino

Statistics and Probability · 2013

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Maria Grazia Pennino trusts overall

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

  1. Håvard Rue
  2. Tilmann Gneiting
  3. Antoine Guisan
  4. Peter Guttorp
  5. Christopher H. Schmid
  6. Finn Lindgren
  7. Sudipto Banerjee
  8. David J. Spiegelhalter

Papers from Maria Grazia Pennino's perspective

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

  1. Gaussian Markov Random Fields: Theory and Applications
  2. Bayesian measures of model complexity and fit
  3. Hierarchical Modeling and Analysis for Spatial Data
  4. Strictly Proper Scoring Rules, Prediction, and Estimation
  5. An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach
  6. Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
  7. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
  8. Sensitivity analysis in Bayesian generalized linear mixed models for binary data
  9. Generalized linear and generalized additive models in studies of species distributions: setting the scene
  10. Studies in the history of probability and statistics XLIX On the Matérn correlation family

Their papers