R. Ingebrigtsen
Environmental Engineering · 2014
A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 20 citations into it; #1,703 of 5,479 by trust here, #4,337 by citations
- Statistics and Probability — 14 citations into it; #9,270 of 12,932 by trust here, #10,855 by citations
- Artificial Intelligence — 12 citations into it
- Economics and Econometrics — 12 citations into it; #9,520 of 23,481 by trust here, #19,308 by citations
- Global and Planetary Change — 5 citations into it; #8,219 of 10,225 by trust here, #9,714 by citations
Whom R. Ingebrigtsen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Finn Lindgren
- Håvard Rue
- Montserrat Fuentes
- David J. Spiegelhalter
- Christopher J. Paciorek
- Alexandra M. Schmidt
- Christian P. Robert
- Peter Guttorp
- D. Higdon
- Tilmann Gneiting
Who trusts R. Ingebrigtsen overall
Papers from R. Ingebrigtsen's perspective
Ordered by how strongly the researchers R. Ingebrigtsen trusts endorse each paper. Same corpus, a different order for every researcher.
- Nonparametric Estimation of Nonstationary Spatial Covariance Structure
- Hierarchical Modeling and Analysis for Spatial Data
- Bayesian measures of model complexity and fit
- Spatial Interaction and the Statistical Analysis of Lattice Systems
- Gaussian Markov Random Fields: Theory and Applications
- Spatial modelling using a new class of nonstationary covariance functions (Environmetrics)
- Non-Stationary Spatial Modeling
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
- Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors
- An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach