Jun Yan
2006
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Jun Yan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jun Yan overall
Papers from Jun Yan's perspective
Ordered by how strongly the researchers Jun Yan trusts endorse each paper. Same corpus, a different order for every researcher.
- Spatial Interaction and the Statistical Analysis of Lattice Systems
- Hierarchical Modeling and Analysis for Spatial Data
- Fast sampling of Gaussian Markov random fields
- Bayesian measures of model complexity and fit
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Gaussian Markov Random Fields: Theory and Applications
- Spatial modelling using a new class of nonstationary covariance functions (Environmetrics)
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
- Space–Time Covariance Functions
- Gaussian predictive process models for large spatial data sets (Journal of The Royal Statistical Society Series B-statistical Methodology)
Their papers
- Gaussian Markov Random Fields: Theory and Applications (2006) — 86 citations