Sigrunn Holbek Sørbye
Statistics and Probability · 2013–2016
A researcher in the Science corpus: 4 papers; trusts 27 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 61 citations into it; #9,043 of 12,932 by trust here, #6,080 by citations
- Artificial Intelligence — 37 citations into it; #11,362 of 35,345 by trust here, #15,542 by citations
- Environmental Engineering — 20 citations into it
- Economics and Econometrics — 19 citations into it
- Applied Mathematics — 8 citations into it
- Probabilistic & Bayesian Methods — 8 citations into it
- Global and Planetary Change — 7 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Sigrunn Holbek Sørbye trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Håvard Rue
- Leonhard Held
- Finn Lindgren
- David J. Spiegelhalter
- N. G. Best
- Daniel P. Simpson
- Andrea Riebler
- Tilmann Gneiting
- Trevor J. Hastie
- Thiago G. Martins
Who trusts Sigrunn Holbek Sørbye overall
Papers from Sigrunn Holbek Sørbye's perspective
Ordered by how strongly the researchers Sigrunn Holbek Sørbye trusts endorse each paper. Same corpus, a different order for every researcher.
- Gaussian Markov Random Fields: Theory and Applications
- Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors
- Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
- Statistical Analysis of Spatial Point Patterns (Technometrics)
- Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
- Statistical Analysis and Modelling of Spatial Point Patterns
- Bayesianly Justifiable and Relevant Frequency Calculations for the Applied Statistician
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
- Generalized Additive Models
- Sensitivity analysis in Bayesian generalized linear mixed models for binary data
Their papers
- Bayesian Computing with INLA: A Review (2016) — 746 citations
- An intuitive Bayesian spatial model for disease mapping that accounts for scaling (2016) — 496 citations
- Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors (2014) — 1,120 citations
- Fitting complex ecological point process models with integrated nested Laplace approximation (2013) — 103 citations