David Valentin Conesa
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
- Statistics and Probability — 8 citations into it
- Nature and Landscape Conservation — 6 citations into it
- Ecological Modeling — 5 citations into it
- Economics and Econometrics — 5 citations into it
- Environmental Engineering — 5 citations into it
Whom David Valentin Conesa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from David Valentin Conesa's perspective
Ordered by how strongly the researchers David Valentin Conesa trusts endorse each paper. Same corpus, a different order for every researcher.
- Gaussian Markov Random Fields: Theory and Applications
- Bayesian measures of model complexity and fit
- Hierarchical Modeling and Analysis for Spatial Data
- Strictly Proper Scoring Rules, Prediction, and Estimation
- An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach
- Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
- Sensitivity analysis in Bayesian generalized linear mixed models for binary data
- Generalized linear and generalized additive models in studies of species distributions: setting the scene
- Studies in the history of probability and statistics XLIX On the Matérn correlation family