Ingelin Steinsland
Environmental Engineering · 2010–2014
A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 25 citations into it; #1,702 of 5,479 by trust here, #4,337 by citations
- Global and Planetary Change — 17 citations into it; #6,662 of 10,225 by trust here, #7,962 by citations
- Statistics and Probability — 14 citations into it; #9,269 of 12,932 by trust here, #10,855 by citations
- Economics and Econometrics — 13 citations into it; #9,519 of 23,481 by trust here, #19,308 by citations
- Artificial Intelligence — 12 citations into it
- Atmospheric Science — 6 citations into it
Whom Ingelin Steinsland 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 Ingelin Steinsland overall
Papers from Ingelin Steinsland's perspective
Ordered by how strongly the researchers Ingelin Steinsland trusts endorse each paper. Same corpus, a different order for every researcher.
- Hierarchical Modeling and Analysis for Spatial Data
- Bayesian measures of model complexity and fit
- Nonparametric Estimation of Nonstationary Spatial Covariance Structure
- 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
- Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping
- Bayesian Spatial Modelling with R-INLA
Their papers
- Spatial models with explanatory variables in the dependence structure (2014) — 113 citations
- Estimation of a non-stationary model for annual precipitation in southern Norway using replicates of the spatial field (2014) — 47 citations
- Evaluation of statistical models for forecast errors from the HBV model (2010) — 62 citations