Jenný Brynjarsdóttir
Statistics and Probability · 2014
A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 8 citations into it; #9,140 of 12,932 by trust here, #6,853 by citations
- Artificial Intelligence — 7 citations into it; #24,802 of 35,345 by trust here, #24,417 by citations
- Computational Theory and Mathematics — 5 citations into it; #8,465 of 12,182 by trust here, #6,463 by citations
Whom Jenný Brynjarsdóttir trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christian P. Robert
- Marc C. Kennedy
- Michael L. Goldstein
- Robert B. Gramacy
- Keith Beven
- Peter Z. G. Qian
- D. Higdon
- Maria J. Bayarri
- Anthony OʼHagan
- Jim Freer
Who trusts Jenný Brynjarsdóttir overall
- Michael G. Kapteyn
- Grey Nearing
- Jacob V. R. Pretorius
- Heng Xiao
- Yudong Tian
- Karen E. Willcox
- Matthias Poloczek
Papers from Jenný Brynjarsdóttir's perspective
Ordered by how strongly the researchers Jenný Brynjarsdóttir trusts endorse each paper. Same corpus, a different order for every researcher.
- A Framework for Validation of Computer Models (Technometrics)
- Bayesian calibration of computer models
- Bayesian Treed Gaussian Process Models With an Application to Computer Modeling
- Design and analysis of computer experiments
- Computer Model Calibration Using High-Dimensional Output
- Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
- Reified Bayesian modelling and inference for physical systems
- Probabilistic sensitivity analysis of complex models: a Bayesian approach
- Objective Bayesian Analysis of Spatially Correlated Data
- Confidence, uncertainty and decision-support relevance in climate predictions (Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences)
Their papers
- Learning about physical parameters: the importance of model discrepancy (2014) — 557 citations