Thordis Linda Thorarinsdottir

Economics and Econometrics · 2012–2020

A researcher in the Science corpus: 7 papers; trusts 53 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 232 citations into it
• Management Science and Operations Research — 205 citations into it
• Finance — 125 citations into it
• Statistics and Probability — 112 citations into it
• Global and Planetary Change — 90 citations into it; #2,984 of 10,225 by trust here, #5,211 by citations
• Artificial Intelligence — 79 citations into it
• Atmospheric Science — 70 citations into it; #923 of 4,804 by trust here, #2,536 by citations
• Electrical and Electronic Engineering — 60 citations into it; #4,572 of 16,539 by trust here, #12,348 by citations

Whom Thordis Linda Thorarinsdottir trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Tilmann Gneiting
2. Adrian E. Raftery
3. D. Wilks
4. Thomas M. Hamill
5. Tim N. Palmer
6. Pierre Pinson
7. Stuart Coles
8. Fadoua Balabdaoui
9. Peter J. Bickel
10. Joseph B. Kruskal

Who trusts Thordis Linda Thorarinsdottir overall

1. Michael Scheuerer
2. Sebastian Lerch
3. Mathieu Vrac
4. Kira Feldmann
5. Federico Bassetti
6. Petra Friederichs

Papers from Thordis Linda Thorarinsdottir's perspective

Ordered by how strongly the researchers Thordis Linda Thorarinsdottir trusts endorse each paper. Same corpus, a different order for every researcher.

1. Interpretation of Rank Histograms for Verifying Ensemble Forecasts
2. Using Bayesian Model Averaging to Calibrate Forecast Ensembles
3. Decomposition of the Continuous Ranked Probability Score for Ensemble Prediction Systems
4. Strictly Proper Scoring Rules, Prediction, and Estimation
5. The Use of Model Output Statistics (MOS) in Objective Weather Forecasting
6. VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
7. Generalized Linear Models
8. Probabilistic forecasts, calibration and sharpness
9. Calibrated Probabilistic Forecasting Using Ensemble Model Output Statistics and Minimum CRPS Estimation
10. Comparison of Ensemble-MOS Methods Using GFS Reforecasts

Their papers

• Bayesian hierarchical modeling of extreme hourly precipitation in Norway (2013) — 95 citations
• Comparison of non-homogeneous regression models for probabilistic wind speed forecasting (2013) — 103 citations
• Forecast verification for extreme value distributions with an application to probabilistic peak wind prediction (2012) — 132 citations
• Forecasting: theory and practice (2020) — 551 citations
• Spatial Postprocessing of Ensemble Forecasts for Temperature Using Nonhomogeneous Gaussian Regression (2014) — 77 citations
• Assessing the Calibration of High-Dimensional Ensemble Forecasts Using Rank Histograms (2013) — 82 citations
• Ensemble Model Output Statistics for Wind Vectors (2012) — 85 citations